Fuping Li

1.5k citations
66 papers · 710 · h-index 14

Impact in

Papers in

Fuping Li

57 papers receiving 700 citations

Peers

Fuping Li
Comparison fields: 5 of 103
  • Reproductive Medicine 327
  • Urology 33
  • Health, Toxicology and Mutagenesis 61
  • Public Health, Environmental and Occupational Health 114
  • Genetics 84
Replace Daniela A. Parodi with:
Daniela A. Parodi United States
Evdochia Adoamnei Spain
Wenbing Zhu China
Liana Bosco Italy
Irma Jiménez Mexico
Marek Szymański Poland
Marina C. Peluffo Argentina
Mingfu Ma China
Qianxi Zhu China
Tiziana Notari Italy
Fuping Li relative to Daniela A. Parodi United States Daniela A. Parodi's profile →
Citations per field
00.5×4.3×
Daniela A. Parodi · 1×
Citations per year

Countries citing papers authored by Fuping Li

Since Specialization
Citations

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

Fields of papers citing papers by Fuping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201170
2 201055
3 201253
4 201753
5 201241
6 202140
7 202037
8 202037
9 202030
10 202325
11 202120
12 202417
13 201817
14 201914
15 202112
16 202412
17 202212
18 201312
19 202312
20 202211

About Fuping Li

Fuping Li is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Genetics, having authored 66 papers that have together received 710 indexed citations. Recurring topics across this work include Sperm and Testicular Function (25 papers), Reproductive Biology and Fertility (8 papers), Reproductive Health and Technologies (4 papers), Forensic and Genetic Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Air Quality and Health Impacts (2 papers), Microbial Fuel Cells and Bioremediation (2 papers) and Urban Green Space and Health (2 papers). The work is most often cited by research in Reproductive Medicine (327 citations), Urology (33 citations), Health, Toxicology and Mutagenesis (61 citations), Public Health, Environmental and Occupational Health (114 citations) and Genetics (84 citations). Fuping Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Masato Fujisawa, Koji Chiba, Kohei Yamaguchi, Makoto Ando, Huanxun Yue, Kei Matsushita, Keisuke Okada, Shasha Liu, Tingting Yang and Min Jiang. Their work appears in journals such as Environmental Research, Systems Biology in Reproductive Medicine, Journal of Agricultural and Food Chemistry, Biology of Reproduction and Cells.

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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