Xiaoming Feng

3.7k citations
75 papers · 1.9k indexed · h-index 24
  • Immunology top 5%
    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 12
    • Immunotherapy and Immune Responses 10
    • Immune cells in cancer 7
  • Oncology top 5%
    • CAR-T cell therapy research 16
  • Genetics top 5%
    • Mesenchymal stem cell research 11
    • Virus-based gene therapy research 5
  • Hematology top 10%
    • Plant Stress Responses and Tolerance 5

Xiaoming Feng

72 papers receiving 1.8k citations

Peers

Xiaoming Feng
Comparison fields: 5 of 109
  • Immunology 808
  • Oncology 665
  • Genetics 202
  • Hematology 148
  • Cancer Research 171
Replace Hernan Roca with:
Hernan Roca United States
Zhengju Yao China
Shadmehr Demehri United States
Marion C. Dickson United Kingdom
Alexis Grande Italy
D. Wade Clapp United States
Hans‐Georg Wisniewski United States
Marta Baiocchi Italy
Robin C. Muise‐Helmericks United States
Deepa Bhartiya India
Xiaoming Feng relative to Hernan Roca United States Hernan Roca's profile →
Citations per field
00.5×2.9×
Hernan Roca · 1×
Citations per year

Countries citing papers authored by Xiaoming Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202413
3 20240
4 20245
5 202349
6 20233
7 201962
8 20186
9 20172
10 201714
11 201624
12 2016173
13 201522
14 201517
15 201316
16 2012148
17 2011142
18 200813
19 200723
20 19924

About Xiaoming Feng

Xiaoming Feng is a scholar working on Immunology, Genetics and Oncology, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), CAR-T cell therapy research (16 papers), T-cell and B-cell Immunology (12 papers), Mesenchymal stem cell research (11 papers), Immunotherapy and Immune Responses (10 papers), Immune cells in cancer (7 papers), Virus-based gene therapy research (5 papers) and Plant Stress Responses and Tolerance (5 papers). The work is most often cited by research in Immunology (808 citations), Oncology (665 citations) and Genetics (202 citations). Xiaoming Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongchao Han, Leisheng Zhang, Meng Yuan, Hui Hu, Haikun Wang, Yu Qiao, Yu‐Jin Hao, Hiroshi Takata, Chun‐Xiang You and Lingling Zhao. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.

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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