Feng Li

3.6k citations
152 papers · 2.5k · 1 hit paper · h-index 27

Impact in

Papers in

Feng Li

147 papers receiving 2.5k citations

Feng Li's Hit Papers

The association between CD8+ tumor-infiltrating lymphocytes and the clinical outcome of cancer immunotherapy: A systematic review and meta-analysis 2021 · 222 citations
2220+1+3Years since publication50100150200

Peers

Feng Li
Comparison fields: 5 of 129
  • Otorhinolaryngology 99
  • Oncology 540
  • Hepatology 132
  • Pulmonary and Respiratory Medicine 488
  • Cancer Research 215
Replace Francesco Perri with:
Francesco Perri Italy
Alessandro Ottaiano Italy
Fumihiro Shoji Japan
Jin Kim South Korea
Hyojin Kim South Korea
John Sukumar Aluru United States
Angelo Sidoni Italy
Tomoya Yokota Japan
Hiroshi Kawachi Japan
Chunmei Bai China
Feng Li relative to Francesco Perri Italy Francesco Perri's profile →
Citations per field
00.5×1.5×
Francesco Perri · 1×
Citations per year

Countries citing papers authored by Feng Li

Since Specialization
Citations

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

Fields of papers citing papers by Feng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The association between CD8+ tumor-infiltrating lymphocytes and the clinical outcome of cancer immunotherapy: A systematic review and meta-analysis
Hit paper breakdown →
2021222
2 2011172
3 2005163
4 201787
5 201078
6 201874
7 202353
8 200847
9 201144
10 201543
11 201338
12 201137
13 202335
14 202035
15 201635
16 201934
17 201932
18 201432
19 201431
20 201330

About Feng Li

Feng Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Pathology and Forensic Medicine, having authored 152 papers that have together received 2.5k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Diagnosis and Treatment (9 papers), Sarcoma Diagnosis and Treatment (9 papers), Immunotherapy and Immune Responses (5 papers), Lung Cancer Treatments and Mutations (5 papers), RNA modifications and cancer (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Otorhinolaryngology (99 citations), Oncology (540 citations), Hepatology (132 citations), Pulmonary and Respiratory Medicine (488 citations) and Cancer Research (215 citations). Feng Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kunio Doi, Kenji Suzuki, Kazuteru Doi, S Sone, K. Uéda, Akira Yamada, Yasunari Fujinaga, Takeshi Hara, Masumi Kadoya and Roger Engelmann. Their work appears in journals such as Oncotarget, Journal of Ethnopharmacology, PLoS ONE, International Journal of Surgery and Frontiers in Immunology.

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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