Fangjun Lin

31 papers receiving 934 citations

Fangjun Lin's Hit Papers

State-of-the-art review of dark tea: From chemistry to health benefits 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Fangjun Lin
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 263
  • Aquatic Science 164
  • Biochemistry 89
  • Biological Psychiatry 27
  • Pathology and Forensic Medicine 167
Replace Kousaku Ohinata with:
Kousaku Ohinata Japan
Patrícia Reckziegel Brazil
S. Daya South Africa
Robin J. Mockett United States
Xichun Zhang China
Jérôme Roy France
Leonardo De Angelis Italy
Elena Giordano Italy
Shahin Hassanpour Iran
Karin Berger Sweden
Fangjun Lin relative to Kousaku Ohinata Japan Kousaku Ohinata's profile →
Citations per field
00.5×2×3×4×4.7×
Kousaku Ohinata · 1×
Citations per year

Countries citing papers authored by Fangjun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
State-of-the-art review of dark tea: From chemistry to health benefits
Hit paper breakdown →
2021208
2 2021133
3 201455
4 201554
5 201347
6 201346
7 202145
8 202140
9 201440
10 201330
11 201529
12 201426
13 201425
14 201425
15 201321
16 201519
17 202117
18 202015
19 201314
20 202113

About Fangjun Lin

Fangjun Lin is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Aquatic Science, Cellular and Molecular Neuroscience and Immunology, having authored 34 papers that have together received 949 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Biochemical Analysis and Sensing Techniques (11 papers), Aquaculture Nutrition and Growth (7 papers), Aquaculture disease management and microbiota (4 papers), Adipose Tissue and Metabolism (4 papers), Neurobiology and Insect Physiology Research (3 papers), Neuropeptides and Animal Physiology (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (263 citations), Aquatic Science (164 citations), Biochemistry (89 citations), Biological Psychiatry (27 citations) and Pathology and Forensic Medicine (167 citations). Fangjun Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ren‐You Gan, Hang Li, Ding‐Tao Wu, Dengyue Yuan, Zhiqiong Li, Hongwei Wu, Chaowei Zhou, Rongbin Wei, Yundi Gao and Tao Wang. Their work appears in journals such as Gene, Fish Physiology and Biochemistry, Nutrients, Regulatory Peptides and General and Comparative Endocrinology.

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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