Journal of Immunological Methods

Official Journal of the Association of Medical Laboratory Immunologists

Journal of Immunological Methods - ISSN 0022-1759
Source Normalized Impact per Paper (SNIP): 0.665 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.888 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 1.901 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 2.238 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 488-499
Issues: 1 issue
ISSN: 00221759
Editor-in-Chief: Niewold

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The Journal of Immunological Methods is devoted to covering techniques for: (1) Quantitating and detecting antibodies and/or antigens. (2) Purifying immunoglobulins, lymphokines and other molecules of the immune system. (3) Isolating antigens and other substances important in immunological processes. (4) Labelling antigens and antibodies. (5) Localizing antigens and/or antibodies in tissues and cells. (6) Detecting, and fractionating immunocompetent cells. (7) Assaying for cellular immunity. (8) Documenting cell-cell interactions. (9) Initiating immunity and unresponsiveness. (10) Transplanting tissues. (11) Studying items closely related to immunity such as complement, reticuloendothelial system and others. (12) Molecular techniques for studying immune cells and their receptors. (13) Imaging of the immune system. (14) Methods for production or their fragments in eukaryotic and prokaryotic cells.

In addition the journal will publish articles on novel methods for analysing the organization, structure and expression of genes for immunologically important molecules such as immunoglobulins, T cell receptors and accessory molecules involved in antigen recognition, processing and presentation. Submitted full length manuscripts should describe new methods of broad applicability to immunology and not simply the application of an established method to a particular substance - although papers describing such applications may be considered for publication as a short Technical Note. Review articles will also be published by the Journal of Immunological Methods. In general these manuscripts are by solicitation however anyone interested in submitting a review can contact the Reviews Editor and provide an outline of the proposed review.

A Computational Methods Section reflects the increasingly central role of sophisticated statistical and mathematical methods and computational models in the analysis, visualization, interpretation of the results of techniques and investigations within the general scope of the Journal.
These methods can generally be divided into data-driven Immunomics methods involving high throughput assays or model-driven methods that provide a framework for data analysis, visualization, and interpretation. Descriptions of high-quality immunological databases are also of interest.
This Section will publish papers that present important advances to current practice or new "gold standards" for mathematical and computational methods and analyses in the field of immunology. Areas of interest reflect the general areas of interest of the Journal, particularly novel methods for analyzing the organization, structure and expression of genes and proteins of immunologically important molecules such as immunoglobulins, T cell receptors, and various accessory molecules involved in antigen recognition, processing, and presentation, and inflammation.