Fu-Nan Li

694 citations
21 papers · 526 · 1 hit paper · h-index 11

Impact in

Papers in

Fu-Nan Li

19 papers receiving 518 citations

Fu-Nan Li's Hit Papers

The metabolite α-KG induces GSDMC-dependent pyroptosis through death receptor 6-activated caspase-8 2021 · 270 citations
2700+1+3Years since publication50100150200250

Peers

Fu-Nan Li
Comparison fields: 5 of 80
  • Nephrology 58
  • Toxicology 22
  • Molecular Biology 342
  • Immunology 87
  • Organic Chemistry 114
Replace Wulan Li with:
Wulan Li China
Zeping Zuo China
Huanqiu Li China
Jinhong Feng China
Yuan Qing Qu Macao
Elizabeth W. Chia New Zealand
Jinxin Wang China
Shaojie Wang China
Linlin Xue China
Pingchen Fan United States
Fu-Nan Li relative to Wulan Li China Wulan Li's profile →
Citations per field
00.5×1.5×
Wulan Li · 1×
Citations per year

Countries citing papers authored by Fu-Nan Li

Since Specialization
Citations

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

Fields of papers citing papers by Fu-Nan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The metabolite α-KG induces GSDMC-dependent pyroptosis through death receptor 6-activated caspase-8
Hit paper breakdown →
2021270
2 201830
3 201327
4 200523
5 202222
6 201422
7 200722
8 200822
9
Synthesis of Novel 7-Substituted-5-phenyl-[1,2,4]triazolo[1,5-a] Pyrimidines with Anticonvulsant Activity.
201217
10 200716
11 201310
12 201510
13 200910
14 202010
15 20095
16 20234
17 20253
18 20242
19 20181
20 20250

About Fu-Nan Li

Fu-Nan Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Infectious Diseases and Organic Chemistry, having authored 21 papers that have together received 526 indexed citations. Recurring topics across this work include Ion Channels and Receptors (4 papers), Biochemical Analysis and Sensing Techniques (2 papers), Natural product bioactivities and synthesis (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Neurobiology and Insect Physiology Research (2 papers), interferon and immune responses (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Nephrology (58 citations), Toxicology (22 citations), Molecular Biology (342 citations), Immunology (87 citations) and Organic Chemistry (114 citations). Fu-Nan Li has collaborated with scholars based in China and South Korea. Frequent co-authors include Bo Zhou, Dawang Zhou, Kang Cheng, Zhi‐Hong Jiang, Qiao Wu, Hang‐zi Chen, Weijia Wang, Yuan-li Ai, Zhe‐Shan Quan and Qing Chen. Their work appears in journals such as Archives of Pharmacal Research, Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Molecules and European Journal of Medicinal Chemistry.

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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