Weixing Yan

24 papers receiving 600 citations

Peers

Weixing Yan
Comparison fields: 5 of 109
  • Clinical Biochemistry 46
  • Immunology 139
  • Endocrinology 23
  • Immunology and Allergy 27
  • Cancer Research 50
Replace Alejandro Berra with:
Alejandro Berra Argentina
Chenguang Niu China
Ferenç Szalay Hungary
Heung-Man Lee South Korea
Yoshiro Tsuji Japan
Sung Woo Park South Korea
Rocío Tapia United States
Bing Guo China
Ran Qin China
Fu Wang China
Weixing Yan relative to Alejandro Berra Argentina Alejandro Berra's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weixing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009106
2 200995
3 200689
4 200850
5 201346
6 201144
7 201441
8 202233
9 201221
10 202219
11 201218
12 201513
13 20237
14 20216
15 20235
16
[Anti-oxidative effects of proanthocyanidins in mice induced by D-galactose].
20025
17
[Assessment of dietary iodine intake of population in non-high-iodine areas in China].
20113
18
[Microcystin contamination of fish on Poyang Lake in Jiangxi province].
20033
19 20222
20
[Boron background value survey of some foodstuffs in 12 provinces of China and boron primary intake estimation of Chinese habitants].
20112

About Weixing Yan

Weixing Yan is a scholar working on Molecular Biology, Physiology, Immunology, Surgery and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 612 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Biochemical effects in animals (2 papers), Pain Mechanisms and Treatments (2 papers), Membrane Separation Technologies (2 papers) and Laser Applications in Dentistry and Medicine (2 papers). The work is most often cited by research in Clinical Biochemistry (46 citations), Immunology (139 citations), Endocrinology (23 citations), Immunology and Allergy (27 citations) and Cancer Research (50 citations). Weixing Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Carolyn L. Geczy, Patricia J. Armati, Roberta Chow, Changjie Song, Paul K. Witting, Ben Freedman, Kenneth Hsu, Yueh-Sheng Chen, Ranjeny Thomas and Matthew A. Brown. Their work appears in journals such as Atherosclerosis, Journal of Membrane Science, Behavioural Brain Research, Photomedicine and Laser Surgery and Journal of the Peripheral Nervous System.

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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