Lin Fu

3.8k citations
127 papers · 2.6k · h-index 30

Impact in

Papers in

Lin Fu

115 papers receiving 2.6k citations

Peers

Lin Fu
Comparison fields: 5 of 131
  • Obstetrics and Gynecology 225
  • Health, Toxicology and Mutagenesis 404
  • Pathology and Forensic Medicine 320
  • Pediatrics, Perinatology and Child Health 265
  • Nutrition and Dietetics 211
Replace Kenichi Sakurai with:
Kenichi Sakurai Japan
Philippe de Mazancourt France
Stavros Sifakis Greece
Darlene Dixon United States
Zengnan Mo China
Miao Yu China
Eva Lundin Sweden
Jimmy W. Crott United States
György Balla Hungary
Gunda Herberth Germany
Lin Fu relative to Kenichi Sakurai Japan Kenichi Sakurai's profile →
Citations per field
00.5×4.4×
Kenichi Sakurai · 1×
Citations per year

Countries citing papers authored by Lin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017184
2 2015111
3 2015103
4 202282
5 201579
6 202165
7 202059
8 201955
9 201355
10 201653
11 201651
12 201349
13 201648
14 201643
15
A novel growth suppressor gene on chromosome 17p13.3 with a high frequency of mutation in human hepatocellular carcinoma.
200143
16 201942
17 201839
18 201738
19 202138
20 201836

About Lin Fu

Lin Fu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Health, Toxicology and Mutagenesis and Pathology and Forensic Medicine, having authored 127 papers that have together received 2.6k indexed citations. Recurring topics across this work include Vitamin D Research Studies (13 papers), Heavy Metal Exposure and Toxicity (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), Pregnancy and preeclampsia studies (10 papers), Trace Elements in Health (10 papers), Air Quality and Health Impacts (8 papers), Pregnancy and Medication Impact (8 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Obstetrics and Gynecology (225 citations), Health, Toxicology and Mutagenesis (404 citations), Pathology and Forensic Medicine (320 citations), Pediatrics, Perinatology and Child Health (265 citations) and Nutrition and Dietetics (211 citations). Lin Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include De‐Xiang Xu, Yuan‐Hua Chen, Hui Zhao, Hua Wang, Cheng Zhang, Jun Fei, Hui-Xian Xiang, Fangbiao Tao, Jiahu Hao and Ying Xiang. Their work appears in journals such as Scientific Reports, Environmental Pollution, The Journal of Immunology, Ecotoxicology and Environmental Safety and Frontiers in Immunology.

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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