Donghai Yan

1.8k citations
52 papers · 997 · h-index 17

Impact in

Papers in

Donghai Yan

47 papers receiving 985 citations

Peers

Donghai Yan
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 149
  • Health, Toxicology and Mutagenesis 279
  • Hepatology 64
  • Pediatrics, Perinatology and Child Health 99
  • Epidemiology 163
Replace Haiping Shen with:
Haiping Shen China
Zuoqi Peng China
Yan Hu China
Eun Ae Park South Korea
Sandy Huey-Jen Hsu Taiwan
Christina Lombardi United States
D A Savitz United States
Lida Chatzi United States
Hai‐Joong Kim South Korea
Erika F. Werner United States
Donghai Yan relative to Haiping Shen China Haiping Shen's profile →
Citations per field
00.5×1.5×
Haiping Shen · 1×
Citations per year

Countries citing papers authored by Donghai Yan

Since Specialization
Citations

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

Fields of papers citing papers by Donghai Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015158
2 201984
3 201883
4 201767
5 201657
6 201648
7 202047
8 202040
9 201836
10 202032
11 202228
12 201826
13 201923
14 201823
15 201920
16 202120
17 201919
18 202016
19 202115
20 202214

About Donghai Yan

Donghai Yan is a scholar working on Health, Toxicology and Mutagenesis, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Epidemiology and General Health Professions, having authored 52 papers that have together received 997 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (11 papers), Gestational Diabetes Research and Management (8 papers), Air Quality and Health Impacts (8 papers), Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (6 papers), Hepatitis B Virus Studies (3 papers), Global Health Care Issues (3 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (149 citations), Health, Toxicology and Mutagenesis (279 citations), Hepatology (64 citations), Pediatrics, Perinatology and Child Health (99 citations) and Epidemiology (163 citations). Donghai Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Haiping Shen, Qiaomei Wang, Zuoqi Peng, Yiping Zhang, Xu Ma, Ying Yang, Shikun Zhang, Yuan He, Ya Zhang and Man Zhang. Their work appears in journals such as Environment International, JAMA Network Open, Environmental Science & Technology, Scientific Reports and Frontiers in Plant Science.

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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