Fangjun Lin

1.1k citations
31 papers · 866 indexed · 1 hit paper · h-index 16

Impact in

Papers in

Fangjun Lin

29 papers receiving 847 citations

Hit Papers

State-of-the-art review of dark tea: From chemistry to health benefits 2021 · 183 citations
183202120262022202450100150

Peers

Fangjun Lin
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 258
  • Aquatic Science 160
  • Biochemistry 83
  • Biological Psychiatry 29
  • Behavioral Neuroscience 32
Replace Xichun Zhang with:
Xichun Zhang China
Elena Giordano Italy
Yu‐Kyong Shin South Korea
Shahin Hassanpour Iran
Haruki Shibata Japan
Guobin Xia China
Hongxia Che China
Ivan Cruz‐Chamorro Spain
Hiroshi Kamisoyama Japan
Junbo Wang China
Fangjun Lin relative to Xichun Zhang China Xichun Zhang's profile →
Citations per field
00.5×7.3×
Xichun Zhang · 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-authorship network

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
#Work
1 20235
2 20224
3 202112
4 202112
5 2021106
6 202135
7 201519
8 201554
9 201529
10 201452
11 201424
12 20144
13 201426
14 201439
15 201346
16 201344
17 201321
18 201314
19 201330
20 20114

About Fangjun Lin

Fangjun Lin is a scholar working on Endocrine and Autonomic Systems, Aquatic Science, Nutrition and Dietetics, Sensory Systems and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 866 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (13 papers), Biochemical Analysis and Sensing Techniques (9 papers), Aquaculture Nutrition and Growth (7 papers), Adipose Tissue and Metabolism (4 papers), Aquaculture disease management and microbiota (4 papers), Neurobiology and Insect Physiology Research (3 papers), Neuropeptides and Animal Physiology (3 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (258 citations), Aquatic Science (160 citations), Biochemistry (83 citations), Biological Psychiatry (29 citations) and Behavioral Neuroscience (32 citations). Fangjun Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ren‐You Gan, Ding‐Tao Wu, Hang Li, 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, General and Comparative Endocrinology, Regulatory Peptides and Journal of Fish Biology.

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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