Haiyan Lin

2.7k citations
99 papers · 1.9k · h-index 26

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 15
    • Adipokines, Inflammation, and Metabolic Diseases 5
    • Ovarian function and disorders 18
    • Endometriosis Research and Treatment 10

Haiyan Lin

94 papers receiving 1.9k citations

Peers

Haiyan Lin
Comparison fields: 5 of 128
  • Reproductive Medicine 322
  • Biological Psychiatry 62
  • Endocrinology, Diabetes and Metabolism 322
  • Pathology and Forensic Medicine 278
  • Epidemiology 370
Replace Celia Bañuls with:
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Jiang Yue China
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Asad Vaisi‐Raygani Iran
Marie‐Agnès Chauvin France
Xiaoqiu Xiao China
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Haiyan Lin relative to Celia Bañuls Spain Celia Bañuls's profile →
Citations per field
00.5×1.5×2.4×
Celia Bañuls · 1×
Citations per year

Countries citing papers authored by Haiyan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017110
2 2012102
3 201881
4 201680
5 202062
6 201260
7 201953
8 201951
9 201949
10 201548
11 201948
12 201846
13 201742
14 201340
15 201440
16 200936
17 201733
18 201433
19 202132
20 201832

About Haiyan Lin

Haiyan Lin is a scholar working on Epidemiology, Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ovarian function and disorders (18 papers), Liver Disease Diagnosis and Treatment (15 papers), Reproductive Biology and Fertility (11 papers), Endometriosis Research and Treatment (10 papers), Tea Polyphenols and Effects (8 papers), Gynecological conditions and treatments (6 papers), Alcohol Consumption and Health Effects (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Reproductive Medicine (322 citations), Biological Psychiatry (62 citations), Endocrinology, Diabetes and Metabolism (322 citations), Pathology and Forensic Medicine (278 citations) and Epidemiology (370 citations). Haiyan Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qingxue Zhang, Jianan Huang, Qi Qiu, Yihua Liang, Dongzi Yang, Song Li, Dongzhi Zhang, Beibei Wen, Mingzhi Zhu and Jiajun Zhao. Their work appears in journals such as Frontiers in Endocrinology, PLoS ONE, Scientific Reports, Journal of Food and Drug Analysis and International Journal of Molecular Sciences.

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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