Chenfeng He

823 citations
23 papers · 548 · h-index 12

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 11
    • Immune cells in cancer 3
    • Single-cell and spatial transcriptomics 3

Chenfeng He

22 papers receiving 545 citations

Peers

Chenfeng He
Comparison fields: 5 of 76
  • Immunology 260
  • Virology 29
  • Oncology 142
  • Molecular Biology 210
  • Physical and Theoretical Chemistry 27
Replace Diether Recktenwald with:
Diether Recktenwald United States
Jens Hennecke Belgium
Malkit Sami United Kingdom
Anthony Popowicz United States
Ester Fraga Canada
Joseph Nachman United States
David Shorthouse United Kingdom
B. Veerapandian United States
Fuqu Yu United States
Iker Valle Aramburu Germany
Chenfeng He relative to Diether Recktenwald United States Diether Recktenwald's profile →
Citations per field
00.5×10×16×
Diether Recktenwald · 1×
Citations per year

Countries citing papers authored by Chenfeng He

Since Specialization
Citations

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

Fields of papers citing papers by Chenfeng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018141
2 201593
3 202149
4 201642
5 201842
6 201829
7 201726
8 201923
9 202320
10 202016
11 201613
12 202312
13 201711
14 20237
15 20205
16 20205
17 20174
18 20243
19 20223
20 20062

About Chenfeng He

Chenfeng He is a scholar working on Immunology, Molecular Biology, Virology, Oncology and Genetics, having authored 23 papers that have together received 548 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers), HIV Research and Treatment (5 papers), Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), CAR-T cell therapy research (3 papers), Diabetes and associated disorders (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Immunology (260 citations), Virology (29 citations), Oncology (142 citations), Molecular Biology (210 citations) and Physical and Theoretical Chemistry (27 citations). Chenfeng He has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ning Jiang, Ke-Yue Ma, Chad M. Williams, Alexandra A. Schonnesen, Eric Sun, Ben S. Wendel, Weiping Jia, Mingliang Zhang, Pengyu Ren and Nohad Gresh. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Communications Biology, Journal of Clinical Oncology and Nature Communications.

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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