Feng Shan

1.1k citations
20 papers · 572 indexed · 2 hit papers · h-index 13
Topics
Immune Cell Function and Interaction (4 papers)Cancer Immunotherapy and Biomarkers (3 papers)CAR-T cell therapy research (2 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Feng Shan

19 papers receiving 560 citations

Hit Papers

Therapeutic targeting of regulatory T cells in cancer2022202620232024202220244080120

Peers

Feng Shan
Comparison fields: 5 of 85
  • Molecular Biology 187
  • Oncology 187
  • Immunology 163
  • Public Health, Environmental and Occupational Health 77
  • Organic Chemistry 66
Replace Junmei Hou with:
Junmei Hou China
Ralf Häfer Germany
Daniel P. Ball United States
Jianping Liu China
Mark E. Lesch United States
Santwana Kar United States
Rahul R. Deshmukh United States
Eloisi Caldas Lopes United States
Youzhi Tong United States
Tatsuaki Morokata Japan
Feng Shan relative to Junmei Hou China Junmei Hou's profile →
Citations per field
00.5×9.8×
Junmei Hou · 1×
Citations per year

Countries citing papers authored by Feng Shan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Shan. A scholar is included among the top collaborators of Feng Shan 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 Feng Shan. Feng Shan 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 4
2
Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunitybreakdown →
75
3 16
4 7
5
Therapeutic targeting of regulatory T cells in cancerbreakdown →
143
6 5
7 15
8 28
9 19
10 10
11 35
12 3
13 0
14 1
15 27
16 76
17 33
18 31
19 13
20 31

About Feng Shan

Feng Shan is a scholar working on General Engineering, Safety, Risk, Reliability and Quality and Immunology, having authored 20 papers that have together received 572 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (163 citations), Oncology (187 citations) and Toxicology (15 citations). Feng Shan has collaborated with scholars based in China, United States and France. Frequent co-authors include Tullia C. Bruno, Dario A.A. Vignali, Creg J. Workman, Ashwin Somasundaram, Ghanem Atassi, Pierre Renard, Stéphane Léonce, Daniel P. Camarco, David A. Close and Paul A. Johnston. Their work appears in journals such as Cell, Chemical Communications and Organic Letters.

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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