Daisy Duan

21 papers receiving 385 citations

Peers

Daisy Duan
Comparison fields: 5 of 68
  • Endocrine and Autonomic Systems 51
  • Experimental and Cognitive Psychology 66
  • Endocrinology, Diabetes and Metabolism 77
  • Cognitive Neuroscience 84
  • Physiology 94
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Dahima Cintrón United States
Munkhsaikhan Munkhzaya Japan
Brooke A. Millar United States
Reiko Saito Japan
Simona Dostálová Czechia
Mariangela Tripodi Italy
Yoshihide Iwakawa Japan
Alessandro Vacca Italy
Marta Ditmer Poland
Yingfei Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Daisy Duan

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 201170
3 202161
4 202241
5 201834
6 202223
7 202116
8 202411
9 202110
10 20219
11 20146
12 20226
13 20235
14 20233
15 20202
16 20231
17 20251
18 20211
19 20151
20 20221

About Daisy Duan

Daisy Duan is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Experimental and Cognitive Psychology and Endocrine and Autonomic Systems, having authored 24 papers that have together received 391 indexed citations. Recurring topics across this work include Dietary Effects on Health (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Sleep and related disorders (4 papers), Circadian rhythm and melatonin (3 papers), Obstructive Sleep Apnea Research (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Diet and metabolism studies (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (51 citations), Experimental and Cognitive Psychology (66 citations), Endocrinology, Diabetes and Metabolism (77 citations), Cognitive Neuroscience (84 citations) and Physiology (94 citations). Daisy Duan has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Jonathan C. Jun, Vsevolod Y. Polotsky, Justin B. Echouffo‐Tcheugui, André Pascal Kengne, David J. Bucci, Christopher S. Keene, Siobhan Robinson, Luu V. Pham, Chenjuan Gu and Pedram Javanmard. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Metabolism Clinics of North America, The Joint Commission Journal on Quality and Patient Safety, Clinical Cardiology and Respirology.

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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