Feng Li

9.2k citations
402 papers · 6.4k · 3 hit papers · h-index 41

Impact in

Papers in

Feng Li

376 papers receiving 6.3k citations

Feng Li's Hit Papers

A clinical-stage Nrf2 activator suppresses osteoclast differentiation via the iron-ornithine axis 2024 · 48 citations
480+1+2Years since publication50100150200

Peers

Feng Li
Comparison fields: 5 of 185
  • Pathology and Forensic Medicine 875
  • Cancer Research 651
  • Oncology 1.0k
  • Surgery 1.5k
  • Molecular Biology 2.0k
Replace Ji‐Won Lee with:
Ji‐Won Lee South Korea
Ji Hoon Kim South Korea
Tatsuya Nakatani Japan
Tetsuya Yamamoto Japan
Yu Zhao China
Dong Chen China
Brigitte Vollmar Germany
Li Liu China
Hwa Jung Kim South Korea
Jie Zhao China
Feng Li relative to Ji‐Won Lee South Korea Ji‐Won Lee's profile →
Citations per field
00.5×1.5×2.1×
Ji‐Won Lee · 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 402 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019
Hit paper breakdown →
2022235
2
Three-Dimensional-Cultured MSC-Derived Exosome-Hydrogel Hybrid Microneedle Array Patch for Spinal Cord Repair
Hit paper breakdown →
2022165
3 2015142
4 2019113
5 201890
6 201990
7 200886
8 201782
9 200779
10 201377
11 200876
12 201673
13 201372
14 202268
15 202066
16 200857
17 201555
18 201554
19 201853
20 202153

About Feng Li

Feng Li is a scholar working on Molecular Biology, Surgery, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 402 papers that have together received 6.4k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (43 papers), Bone Metabolism and Diseases (38 papers), Sarcoma Diagnosis and Treatment (22 papers), Spinal Fractures and Fixation Techniques (19 papers), Musculoskeletal pain and rehabilitation (16 papers), Bone Tissue Engineering Materials (15 papers), Pancreatic and Hepatic Oncology Research (13 papers) and Cancer-related molecular mechanisms research (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (875 citations), Cancer Research (651 citations), Oncology (1.0k citations), Surgery (1.5k citations) and Molecular Biology (2.0k citations). Feng Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hanfeng Guan, Honglei Kang, Yimin Dong, Zhong Fang, Renpeng Peng, Anmin Chen, Shian Hu, Pengju Wang, Wei Xiong and Kehan Song. Their work appears in journals such as Scientific Reports, Spine, Oncotarget, Gastrointestinal Endoscopy and PLoS ONE.

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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