Wanxing Cui

1.6k citations
44 papers · 1.4k · h-index 20

Impact in

Papers in

Wanxing Cui

43 papers receiving 1.3k citations

Peers

Wanxing Cui
Comparison fields: 5 of 87
  • Surfaces, Coatings and Films 170
  • Biomaterials 271
  • Endocrinology, Diabetes and Metabolism 282
  • Surgery 701
  • Genetics 283
Replace Nimit Dholakia with:
Nimit Dholakia United States
Joshua E. Mendoza-Elias United States
Devon M. Headen United States
Gregory M. Cruise United States
Esther Y. Chen United States
Wanxing Cui United States
Victoria E. Carr-Brendel United States
Yuanman Yu China
Joseph A. M. Steele United Kingdom
Ainhoa Murua Spain
Wanxing Cui relative to Nimit Dholakia United States Nimit Dholakia's profile →
Citations per field
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Nimit Dholakia · 1×
Citations per year

Countries citing papers authored by Wanxing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Wanxing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanxing Cui, 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 Wanxing Cui Line = papers co-authored together Wanxing Cui 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 2008168
2 2012151
3 2009112
4 200486
5 201183
6 200780
7 201775
8 200356
9 200050
10 201248
11 201040
12 200940
13 200436
14 200130
15 200127
16 201226
17 200624
18 202023
19 201722
20 201021

About Wanxing Cui

Wanxing Cui is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Pharmacology and Hematology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (36 papers), Diabetes Management and Research (9 papers), Diabetes and associated disorders (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Cannabis and Cannabinoid Research (5 papers), Xenotransplantation and immune response (5 papers), Platelet Disorders and Treatments (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (170 citations), Biomaterials (271 citations), Endocrinology, Diabetes and Metabolism (282 citations), Surgery (701 citations) and Genetics (283 citations). Wanxing Cui has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Elliot L. Chaikof, John T. Wilson, Carolyn A. Haller, Xue‐Long Sun, Zheng Qu, Venkata Ramanan Krishnamurthy, Hongjun Wang, Jing Wen, Kazutomo Inoue and Eugenia Kharlampieva. Their work appears in journals such as Cell Transplantation, Diabetes, American Journal of Transplantation, Stem Cell Research & Therapy and Nano Letters.

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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