He Sun

722 citations
32 papers · 486 · h-index 13

Impact in

Papers in

He Sun

32 papers receiving 476 citations

Peers

He Sun
Comparison fields: 5 of 96
  • Statistics and Probability 77
  • Complementary and alternative medicine 62
  • Pharmacology 65
  • Toxicology 25
  • Pharmacology 87
Replace Joseph P. Kitzmiller with:
Joseph P. Kitzmiller United States
R Temple United States
Shiew-Mei Huang United States
Tsugumichi Sato Japan
Sang‐Goo Shin South Korea
Jong‐Lyul Ghim South Korea
Daniel F. B. Wright New Zealand
Erik Iverson United States
Chandrahas Sahajwalla United States
Chengxian Guo China
He Sun relative to Joseph P. Kitzmiller United States Joseph P. Kitzmiller's profile →
Citations per field
00.5×5.5×
Joseph P. Kitzmiller · 1×
Citations per year

Countries citing papers authored by He Sun

Since Specialization
Citations

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

Fields of papers citing papers by He Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199997
2 201463
3 200045
4 202427
5 202025
6 199824
7 202121
8 199619
9 201219
10 200119
11 201415
12 199615
13 201413
14 202110
15 20239
16 20218
17 19988
18 20217
19 20186
20 20235

About He Sun

He Sun is a scholar working on Complementary and alternative medicine, Molecular Biology, Statistics and Probability, Pulmonary and Respiratory Medicine and Oncology, having authored 32 papers that have together received 486 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Traditional Chinese Medicine Analysis (5 papers), Statistical Methods and Bayesian Inference (4 papers), Plant-based Medicinal Research (3 papers), Pharmaceutical studies and practices (2 papers), Ginseng Biological Effects and Applications (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Statistics and Probability (77 citations), Complementary and alternative medicine (62 citations), Pharmacology (65 citations), Toxicology (25 citations) and Pharmacology (87 citations). He Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ene Ette, Thomas M. Ludden, Julie Perry, Zhijun Chen, Fei-Li Zhao, Jin Zhou, Emmanuel O. Fadiran, Jing Wu, Karen M. Higgins and Lawrence J. Lesko. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Oncology, Scientific Reports, Aging and Clinical Pharmacokinetics.

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.

Explore authors with similar magnitude of impact