Xiaohong Yuan

1.5k citations
36 papers · 1.2k indexed · h-index 16
Topics
Pancreatic function and diabetes (10 papers)RNA modifications and cancer (7 papers)Cancer-related molecular mechanisms research (6 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Xiaohong Yuan

36 papers receiving 1.1k citations

Peers

Xiaohong Yuan
Comparison fields: 5 of 86
  • Molecular Biology 469
  • Physiology 332
  • Surgery 262
  • Endocrinology, Diabetes and Metabolism 244
  • Genetics 240
Replace Kevin W. Aylor with:
Kevin W. Aylor United States
Suzy D.C. Bianco United States
Anette P. Gjesing Denmark
Jacqueline L. Beaudry Canada
Sandra D. O’Dell United Kingdom
Jérôme Delplanque France
Ravindra Dhir United States
Pascal Eberling France
Gustavo Ballejo Brazil
Elizabeth St. Lezin United States
Xiaohong Yuan relative to Kevin W. Aylor United States Kevin W. Aylor's profile →
Citations per field
00.5×1.5×1.8×
Kevin W. Aylor · 1×
Citations per year

Countries citing papers authored by Xiaohong Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Yuan. A scholar is included among the top collaborators of Xiaohong Yuan 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 Xiaohong Yuan. Xiaohong Yuan 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 1
2 6
3 4
4 4
5 5
6 36
7 15
8 4
9 16
10 6
11 13
12 15
13 13
14 59
15 47
16 2
17 141
18 101
19 25
20 168

About Xiaohong Yuan

Xiaohong Yuan is a scholar working on Endocrine and Autonomic Systems, Cancer Research and Anesthesiology and Pain Medicine, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (140 citations), Endocrinology, Diabetes and Metabolism (244 citations) and Physiology (332 citations). Xiaohong Yuan has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kentaro Yamada, K. Nonaka, F. Ichikawa, S. Ishiyama‐Shigemoto, Wasaku Koyama, K. Koyama, Hitomi Nakayama, Shuichi Otabe, Kyohei Nonaka and Nobuhiko Wada. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

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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