Fu Li

720 citations
39 papers · 455 · h-index 12

Impact in

Papers in

Fu Li

38 papers receiving 448 citations

Peers

Fu Li
Comparison fields: 5 of 98
  • Process Chemistry and Technology 13
  • Oncology 109
  • Physiology 11
  • Molecular Biology 151
  • Endocrinology 10
Replace Kazunori Ito with:
Kazunori Ito Japan
Jen‐Huang Huang Taiwan
Jianting Zhang China
Yuyu Zhang China
Wenzhe Chen China
James Michael Hochrein United States
Piotr Komorowski Poland
Chenhui Li China
Fu Li relative to Kazunori Ito Japan Kazunori Ito's profile →
Citations per field
00.5×7.8×
Kazunori Ito · 1×
Citations per year

Countries citing papers authored by Fu Li

Since Specialization
Citations

This map shows the geographic impact of Fu 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 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 Li more than expected).

Fields of papers citing papers by Fu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 202058
3 201445
4 201934
5 202127
6 202120
7
Primary malignant melanomas of the female lower genital tract: clinicopathological characteristics and management.
202020
8 200519
9 202418
10 202016
11 201514
12 201912
13 202311
14 20227
15 20196
16 20226
17
TSL-1502, a glucuronide prodrug of a poly (ADP-ribose) polymerase (PARP) inhibitor, exhibits potent anti-tumor activity in preclinical models.
20215
18 20195
19 20213
20
Analysis on features and origin of stratum water in Hailar Basin
20062

About Fu Li

Fu Li is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Mechanics of Materials and Epidemiology, having authored 39 papers that have together received 455 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Geoscience and Mining Technology (2 papers), Electrochemical Analysis and Applications (2 papers), Click Chemistry and Applications (2 papers), PARP inhibition in cancer therapy (2 papers), Biofuel production and bioconversion (2 papers) and Chemical Looping and Thermochemical Processes (1 paper). The work is most often cited by research in Process Chemistry and Technology (13 citations), Oncology (109 citations), Physiology (11 citations), Molecular Biology (151 citations) and Endocrinology (10 citations). Fu Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yao‐Wen Wu, Yu Wu, Kai Liu, Jianbin Zhang, Bosheng Zhao, Qiang Li, Christopher Bruhn, Wookee Min, Xingzhi Xu and Cornelis F. Calkhoven. Their work appears in journals such as American Journal of Cancer Research, Fibers and Polymers, Scientific Reports, Nuclear Engineering and Design and Advanced Synthesis & Catalysis.

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.

Explore authors with similar magnitude of impact