James Gorman

2.7k citations
14 papers · 2.2k indexed · 1 hit paper · h-index 11

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • CRISPR and Genetic Engineering
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 3
    • Cancer-related Molecular Pathways 2

James Gorman

13 papers receiving 2.2k citations

Hit Papers

Efficient in vivo manipulation of mouse genomic sequences at the zygote stage. 1996 · 939 citations
9391996202620062016250500750

Peers

James Gorman
Comparison fields: 5 of 94
  • Immunology 994
  • Molecular Biology 1.1k
  • Oncology 375
  • Radiology, Nuclear Medicine and Imaging 277
  • Cancer Research 173
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James Gorman relative to Jennifer Brush United States Jennifer Brush's profile →
Citations per field
00.5×2.6×
Jennifer Brush · 1×
Citations per year

Countries citing papers authored by James Gorman

Since Specialization
Citations

This map shows the geographic impact of James Gorman'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 James Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gorman more than expected).

Fields of papers citing papers by James Gorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Gorman. 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 James Gorman. The network helps show where James Gorman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside James Gorman, 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 James Gorman Line = papers co-authored together James Gorman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20247
2 20240
3 20243
4 2017186
5 201347
6 199841
7 199858
8 199730
9 1996151
10 1996257
11
Efficient in vivo manipulation of mouse genomic sequences at the zygote stage.
Hit paper breakdown →
1996939
12 1994223
13 199330
14 1992271

About James Gorman

James Gorman is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer-related Molecular Pathways (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (994 citations), Molecular Biology (1.1k citations), Oncology (375 citations), Radiology, Nuclear Medicine and Imaging (277 citations) and Cancer Research (173 citations). James Gorman has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Frederick W. Alt, Yoshiyuki Okamoto, Merja Lakso, H Westphal, José G. Pichel, Brian Sauer, Barry P. Sleckman, Faith Young, Frederick W. Alt and Michel Cogné. Their work appears in journals such as Immunity, Proceedings of the National Academy of Sciences, Annual Review of Immunology, Current Biology and Journal of Biological Chemistry.

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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