Feng Li

5.9k citations
191 papers · 4.2k · h-index 32

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Toxicology top 1%
    • Bioactive Compounds and Antitumor Agents

Papers in

Feng Li

176 papers receiving 4.2k citations

Peers

Feng Li
Comparison fields: 5 of 182
  • Cancer Research 596
  • Toxicology 122
  • Complementary and alternative medicine 246
  • Oncology 648
  • Geriatrics and Gerontology 70
Replace Jingwen Zhang with:
Jingwen Zhang China
Xue Wang China
Zhen Chen China
Yi‐Hsin Yang Taiwan
Hongliang Zhang China
Ji‐Won Lee South Korea
Eunyoung Cho United States
Fan Wang China
Chul Lee South Korea
Saurabh Kumar Jha India
Feng Li relative to Jingwen Zhang China Jingwen Zhang's profile →
Citations per field
00.5×1.7×
Jingwen Zhang · 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 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006485
2 2010365
3 2011149
4 2013146
5 2015146
6 2018144
7 2013134
8 2010113
9 201288
10 202280
11 201173
12 200767
13 201966
14 201864
15
miR-375 enhances palmitate-induced lipoapoptosis in insulin-secreting NIT-1 cells by repressing myotrophin (V1) protein expression.
201062
16 201957
17 202056
18 201952
19 201849
20 202047

About Feng Li

Feng Li is a scholar working on Oncology, Electrical and Electronic Engineering, Molecular Biology, Sociology and Political Science and Biomedical Engineering, having authored 191 papers that have together received 4.2k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (8 papers), Cancer survivorship and care (6 papers), Analytical Chemistry and Sensors (5 papers), Cardiac Health and Mental Health (5 papers), Diverse Aspects of Tourism Research (5 papers), Musculoskeletal pain and rehabilitation (4 papers), Treatment of Major Depression (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Cancer Research (596 citations), Toxicology (122 citations), Complementary and alternative medicine (246 citations), Oncology (648 citations) and Geriatrics and Gerontology (70 citations). Feng Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gautam Sethi, Yibin Kang, Joan Massagué, Benjamin Tiede, Alan Prem Kumar, Changli Zhou, Kanjoormana Aryan Manu, Jinwei Li, Yuewei Li and Kodappully Sivaraman Siveen. Their work appears in journals such as PLoS ONE, BioMed Research International, BMJ Open, Annals of Translational Medicine and Sensors and Actuators B Chemical.

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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