Jeffrey E. Berman

1.0k citations
24 papers · 927 · h-index 13

Impact in

Papers in

    • T-cell and B-cell Immunology 10
    • Immunodeficiency and Autoimmune Disorders 5
    • Immune Cell Function and Interaction 3
    • Blood groups and transfusion 7
    • Multiple Myeloma Research and Treatments 2

Jeffrey E. Berman

23 papers receiving 877 citations

Peers

Jeffrey E. Berman
Comparison fields: 5 of 52
  • Immunology 599
  • Radiology, Nuclear Medicine and Imaging 469
  • Genetics 178
  • Hematology 165
  • Pathology and Forensic Medicine 99
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Citations per year

Countries citing papers authored by Jeffrey E. Berman

Since Specialization
Citations

This map shows the geographic impact of Jeffrey E. Berman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeffrey E. Berman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey E. Berman more than expected).

Fields of papers citing papers by Jeffrey E. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey E. Berman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeffrey E. Berman. The network helps show where Jeffrey E. Berman may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeffrey E. Berman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey E. Berman Line = papers co-authored together Jeffrey E. Berman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988403
2 1989102
3 198967
4 199054
5 199150
6 198930
7 199129
8 198927
9 198727
10 199126
11 199023
12 199722
13 199015
14 200012
15 19888
16 19858
17 19876
18 19905
19 19845
20 19864

About Jeffrey E. Berman

Jeffrey E. Berman is a scholar working on Immunology, Hematology, Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology, having authored 24 papers that have together received 927 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (10 papers), Blood groups and transfusion (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (3 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Immunology (599 citations), Radiology, Nuclear Medicine and Imaging (469 citations), Genetics (178 citations), Hematology (165 citations) and Pathology and Forensic Medicine (99 citations). Jeffrey E. Berman has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Leonard Chess, Frederick W. Alt, Roberta R. Pollock, Scott J. Mellis, Heikyung Suh, Urvashi Surti, Czeslawa Kowal, Cassandra L. Smith, C R Cantor and Frederick W. Alt. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Journal of Neuroimmunology, The Journal of Experimental Medicine and Cellular Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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