Gefeng Zhu

17.8k citations
44 papers · 13.3k indexed · 6 hit papers · h-index 34
Topics
Immunotherapy and Immune Responses (34 papers)Immune Cell Function and Interaction (25 papers)T-cell and B-cell Immunology (23 papers)

In The Last Decade

Gefeng Zhu

44 papers receiving 13.1k citations

Hit Papers

Tumor-associated B7-H1 promotes T-cell apoptosis: A poten...19992026200820172002199920012005200610002.0k3.0k

Peers

Gefeng Zhu
Comparison fields: 5 of 129
  • Immunology 9.1k
  • Oncology 8.5k
  • Molecular Biology 2.0k
  • Pulmonary and Respiratory Medicine 1.1k
  • Surgery 686
Replace Dallas B. Flies with:
Dallas B. Flies United States
Alan J. Korman United States
Beatriz M. Carreno United States
Koji Tamada Japan
Yoshiko Iwai Japan
Scott E. Strome United States
James L. Riley United States
Patrick Hwu United States
Ana C. Anderson United States
Inge Marie Svane Denmark
Gefeng Zhu relative to Dallas B. Flies United States Dallas B. Flies's profile →
Citations per field
00.5×1.5×
Dallas B. Flies · 1×
Citations per year

Countries citing papers authored by Gefeng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Gefeng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gefeng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Gefeng Zhu. A scholar is included among the top collaborators of Gefeng Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gefeng Zhu. Gefeng Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 118
3 59
4 16
5 68
6 219
7
Blockade of B7-H1 and PD-1 by Monoclonal Antibodies Potentiates Cancer Therapeutic Immunitybreakdown →
794
8 152
9 207
10 161
11 185
12 9
13 81
14 219
15
Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasionbreakdown →
3972
16 11
17 50
18 269
19 24
20 52

About Gefeng Zhu

Gefeng Zhu is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 44 papers that have together received 13.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (34 papers), Immune Cell Function and Interaction (25 papers) and T-cell and B-cell Immunology (23 papers). The work is most often cited by research in Immunology (9.1k citations), Oncology (8.5k citations) and Cancer Research (633 citations). Gefeng Zhu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lieping Chen, Koji Tamada, Haidong Dong, Dallas B. Flies, Hideto Tamura, Scott E. Strome, Fumiya Hirano, Vanda A. Lennon, Esteban Celis and Jun Lü. Their work appears in journals such as Nature, Science and Journal of Clinical Investigation.

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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