Lin Gan

1.2k citations
56 papers · 799 indexed · h-index 15

Impact in

Papers in

Lin Gan

52 papers receiving 787 citations

Peers

Lin Gan
Comparison fields: 5 of 106
  • Modeling and Simulation 88
  • Health 139
  • Infectious Diseases 296
  • Virology 28
  • Cardiology and Cardiovascular Medicine 134
Replace Jorge Vásconez-González with:
Jorge Vásconez-González Ecuador
Mohammad Zarei Iran
Caroline Hervé Belgium
Boris P. Hejblum France
Melissa Hui Yen Chng United States
Haihong Zhu China
Kohei Oishi United States
Alison D. Augustine United States
J. Sullivan-Bolyai United States
Mohamed H. Al‐Thani Qatar
Lin Gan relative to Jorge Vásconez-González Ecuador Jorge Vásconez-González's profile →
Citations per field
00.5×3.0×
Jorge Vásconez-González · 1×
Citations per year

Countries citing papers authored by Lin Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4 20233
5 202318
6 20235
7
Development and Validation of a Prediction Model for 5-Year Risk of Kidney Dysfunction in Patients with Hypertension and Glucose Metabolism Disorder
20221
8 20223
9 20224
10 20224
11 202154
12 20218
13 202132
14 202023
15 20206
16 202012
17 201911
18
[Sequence analysis of varicella-zoster virus gE gene in varicella-zoster virus strains with different clades].
20131
19 200927
20 200973

About Lin Gan

Lin Gan is a scholar working on Modeling and Simulation, Health, Cardiology and Cardiovascular Medicine, Infectious Diseases and Epidemiology, having authored 56 papers that have together received 799 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), Blood Pressure and Hypertension Studies (9 papers), Obstructive Sleep Apnea Research (7 papers), Hormonal Regulation and Hypertension (7 papers), Vaccine Coverage and Hesitancy (6 papers), COVID-19 epidemiological studies (5 papers), Sodium Intake and Health (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Modeling and Simulation (88 citations), Health (139 citations), Infectious Diseases (296 citations), Virology (28 citations) and Cardiology and Cardiovascular Medicine (134 citations). Lin Gan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Mingli Wang, Dingmei Zhang, Jason Chen, Mei Gao, Qinlong Jing, Kun Guo, Nanfang Li, Chunhuan Zhang, Jun Zhao and Jinlin Tan. Their work appears in journals such as Frontiers in Endocrinology, Scientific Reports, International Journal of Environmental Research and Public Health, Sleep Medicine and BMJ Open.

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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