Dan Chen

1.9k citations
68 papers · 1.3k · h-index 20

Impact in

Papers in

    • Pain Mechanisms and Treatments 11
    • Obstructive Sleep Apnea Research 3
    • Chronic Kidney Disease and Diabetes 5

Dan Chen

65 papers receiving 1.3k citations

Peers

Dan Chen
Comparison fields: 5 of 90
  • Physiology 415
  • Biological Psychiatry 14
  • Nephrology 95
  • Complementary and alternative medicine 83
  • Endocrinology, Diabetes and Metabolism 108
Replace Fedor Šimko with:
Fedor Šimko Slovakia
Haruka Amitani Japan
Daisy Motta‐Santos Brazil
Sophocles Chrissobolis Australia
Ludovít Paulis Slovakia
Jia Liu China
L Fialová Czechia
Saeid Golbidi Canada
Hideki Kozono Japan
Titikorn Chunchai Thailand
Dan Chen relative to Fedor Šimko Slovakia Fedor Šimko's profile →
Citations per field
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Fedor Šimko · 1×
Citations per year

Countries citing papers authored by Dan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015200
2 2018133
3 201590
4 201580
5 201651
6 201840
7 201940
8 201834
9 202033
10 201832
11 201932
12 201128
13 201927
14 202227
15 201926
16 202225
17 202124
18 202323
19 202222
20 202521

About Dan Chen

Dan Chen is a scholar working on Physiology, Nephrology, Complementary and alternative medicine, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Chronic Kidney Disease and Diabetes (5 papers), Pregnancy and preeclampsia studies (5 papers), Sodium Intake and Health (4 papers), Birth, Development, and Health (4 papers), Obstructive Sleep Apnea Research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Physiology (415 citations), Biological Psychiatry (14 citations), Nephrology (95 citations), Complementary and alternative medicine (83 citations) and Endocrinology, Diabetes and Metabolism (108 citations). Dan Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yu‐Ming Kang, Ye‐Bo Zhou, Yuehua Li, Guo‐Qing Zhu, Qi Chen, Fei Xiong, Xiao‐Qing Xiong, Ying Han, Hai‐Jian Sun and Juejin Wang. Their work appears in journals such as Food & Function, Frontiers in Endocrinology, Reproductive Toxicology, Frontiers in Chemistry and Molecular Immunology.

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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