Dong‐Yuan Cao

1.6k citations
69 papers · 1.2k indexed · h-index 20
Topics
Pain Mechanisms and Treatments (37 papers)Musculoskeletal pain and rehabilitation (12 papers)Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Dong‐Yuan Cao

68 papers receiving 1.2k citations

Peers

Dong‐Yuan Cao
Comparison fields: 5 of 106
  • Physiology 486
  • Pharmacology 238
  • Cellular and Molecular Neuroscience 202
  • Pathology and Forensic Medicine 174
  • Psychiatry and Mental health 162
Replace Giannapia Affaitati with:
Giannapia Affaitati Italy
Astrid Juhl Terkelsen Denmark
Suely Roizenblatt Brazil
José Manuel Castro‐Lopes Portugal
Gunnar Wallin Sweden
Christian Geber Germany
Carolina B. Meloto Canada
Andrew M. Youssef United States
Lene Werdelin Denmark
Gary E. Cordingley United States
Dong‐Yuan Cao relative to Giannapia Affaitati Italy Giannapia Affaitati's profile →
Citations per field
00.5×1.5×
Giannapia Affaitati · 1×
Citations per year

Countries citing papers authored by Dong‐Yuan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Yuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Yuan Cao. 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 Dong‐Yuan Cao. The network helps show where Dong‐Yuan Cao may publish in the future.

Co-authorship network of co-authors of Dong‐Yuan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Yuan Cao. A scholar is included among the top collaborators of Dong‐Yuan Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong‐Yuan Cao. Dong‐Yuan Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 0
4 1
5 6
6 9
7 23
8 4
9 2
10 55
11 50
12 41
13 8
14 2
15 15
16 14
17 15
18 16
19 23
20 27

About Dong‐Yuan Cao

Dong‐Yuan Cao is a scholar working on Behavioral Neuroscience, Physiology and Complementary and Manual Therapy, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (37 papers), Musculoskeletal pain and rehabilitation (12 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers). The work is most often cited by research in Complementary and Manual Therapy (102 citations), Physiology (486 citations) and Gastroenterology (89 citations). Dong‐Yuan Cao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Richard J. Traub, Joel G. Pickar, Yaping Ji, Yuan Wang, David A. Seminowicz, Guang Bai, Yan Zhao, Yuli Li, Fenglin Cao and Yuan Guo. Their work appears in journals such as Oncogene, Journal of Neurophysiology and Gut.

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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