Weiye Wang

1.5k citations
44 papers · 1.2k · h-index 17

Impact in

Papers in

Weiye Wang

40 papers receiving 1.1k citations

Peers

Weiye Wang
Comparison fields: 5 of 123
  • Computational Mathematics 9
  • Obstetrics and Gynecology 71
  • Molecular Biology 598
  • Cancer Research 86
  • Immunology 113
Replace Bo Niu with:
Bo Niu China
Marie‐Claude Gendron France
Tatyana N. Milovanova United States
Björn Hartleben Germany
Anna Severino Italy
Yuichiro Arima Japan
Sanjeevkumar R. Patel United States
Lea Rath‐Wolfson Israel
Yuhei Kirita Japan
Weiye Wang relative to Bo Niu China Bo Niu's profile →
Citations per field
00.5×1.5×1.8×
Bo Niu · 1×
Citations per year

Countries citing papers authored by Weiye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009159
2 2008143
3 2010109
4 201479
5 200768
6 201858
7 201055
8 201449
9 202049
10 201844
11 201837
12 201437
13 202028
14 201126
15 201524
16 201124
17 201918
18 201516
19 202114
20 201813

About Weiye Wang

Weiye Wang is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (4 papers), Thyroid Disorders and Treatments (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Kruppel-like factors research (2 papers), Plasma Diagnostics and Applications (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Plasma Applications and Diagnostics (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Computational Mathematics (9 citations), Obstetrics and Gynecology (71 citations), Molecular Biology (598 citations), Cancer Research (86 citations) and Immunology (113 citations). Weiye Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chang Hoon Ha, Chelsea Wong, Bong Sook Jhun, Zheng‐Gen Jin, Zheng Gen Jin, Mukesh K. Jain, Suowen Xu, Klaus Pfizenmaier, Eric N. Olson and Timothy A. McKinsey. Their work appears in journals such as Biopreservation and Biobanking, The Journal of Cell Biology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Cell Communication and Signaling and Blood.

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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