Lin Pan

1.5k citations
30 papers · 989 · h-index 14

Impact in

Papers in

Lin Pan

29 papers receiving 987 citations

Peers

Lin Pan
Comparison fields: 5 of 110
  • Neurology 174
  • Developmental Neuroscience 79
  • Behavioral Neuroscience 51
  • Endocrine and Autonomic Systems 70
  • Cancer Research 121
Replace Nino Tabatadze with:
Nino Tabatadze United States
Luísa Cortes Portugal
Hongmei Dai China
Yoshiki Matsumoto Japan
Jonathan Kil United States
Jyoti Parkash India
Jun‐Gyo Suh South Korea
Paolo Moretti United States
Xin Fu China
Lin Pan relative to Nino Tabatadze United States Nino Tabatadze's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017272
2 2021127
3 2019113
4 2019112
5 201892
6 200556
7 200636
8 201526
9 201922
10 202321
11 201018
12 202318
13 199416
14 202014
15 199613
16 201711
17 20184
18 20252
19
[The relationship between islet alpha cell insulin resistance and inflammatory pathway activation and its mechanism].
20072
20 20172

About Lin Pan

Lin Pan is a scholar working on Molecular Biology, Surgery, Neurology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 30 papers that have together received 989 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Pancreatic function and diabetes (4 papers), Plant Pathogens and Fungal Diseases (3 papers), MicroRNA in disease regulation (3 papers), Adipose Tissue and Metabolism (3 papers), Mycotoxins in Agriculture and Food (3 papers), Fungal and yeast genetics research (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Neurology (174 citations), Developmental Neuroscience (79 citations), Behavioral Neuroscience (51 citations), Endocrine and Autonomic Systems (70 citations) and Cancer Research (121 citations). Lin Pan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ye Wu, Weizhe Hong, Yanning Zuo, Xinmin Li, Hong Wei, Rongguo Li, Fuguo Xing, Paul E. Micevych, Patrick B. Chen and Shan Huang. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Nature Communications, Nutrition, Scientific Reports and BMB Reports.

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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