E K Gao

1.3k citations
11 papers · 1.2k · h-index 11

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Transgenic Plants and Applications 2

E K Gao

11 papers receiving 1.2k citations

Peers

E K Gao
Comparison fields: 5 of 81
  • Immunology 879
  • Hematology 138
  • Transplantation 27
  • Genetics 151
  • Oncology 136
Replace Israel Zan‐Bar with:
Israel Zan‐Bar Israel
Sharwan K. Singhal Canada
Michael B. Widmer United States
Cecilia Oderup United States
Caroline Waltzinger France
S Sawada United States
Tracy Sawchuk Canada
Jian‐Guo Chai United Kingdom
Chantal M. Moratz United States
Anita Diu France
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Citations per field
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Citations per year

Countries citing papers authored by E K Gao

Since Specialization
Citations

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

Fields of papers citing papers by E K Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E K Gao. 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 E K Gao. The network helps show where E K Gao may publish in the future.

Co-authors

The 19 scholars most cited alongside E K Gao, 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 E K Gao Line = papers co-authored together E K Gao links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1988376
2 1988252
3 1990132
4 1992104
5 1990101
6 198887
7 198948
8 199136
9 199330
10
Intraocular viral replication after systemic murine cytomegalovirus infection requires immunosuppression.
199523
11
T cell tolerance after bone marrow transplantation in mice.
199216

About E K Gao

E K Gao is a scholar working on Immunology, Biotechnology, Hematology, Genetics and Genetics, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (2 papers), Transgenic Plants and Applications (2 papers), Animal Genetics and Reproduction (1 paper), Xenotransplantation and immune response (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (879 citations), Hematology (138 citations), Transplantation (27 citations), Genetics (151 citations) and Oncology (136 citations). E K Gao has collaborated with scholars based in United States and Japan. Frequent co-authors include Jonathan D. Sprent, David D. Lo, Yacov Ron, Osami Kanagawa, Susan R. Webb, Richard Cheney, Jonathan Sprent, Hiroshi Kosaka, Charles D. Surh and Michele L. Schaefer. Their work appears in journals such as The Journal of Experimental Medicine, Immunological Reviews, Nature, Science and PubMed.

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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