Huayan Wang

3.4k citations
97 papers · 2.1k · h-index 28

Impact in

Papers in

    • Pluripotent Stem Cells Research 34
    • CRISPR and Genetic Engineering 23
    • Renal and related cancers 14
    • Mitochondrial Function and Pathology 5
    • RNA Interference and Gene Delivery 4
    • Tissue Engineering and Regenerative Medicine 13

Huayan Wang

97 papers receiving 2.1k citations

Peers

Huayan Wang
Comparison fields: 5 of 143
  • Molecular Biology 1.1k
  • Computer Vision and Pattern Recognition 268
  • Reproductive Medicine 79
  • Clinical Biochemistry 63
  • Aging 17
Replace Keisuke Izumi with:
Keisuke Izumi Japan
Walter Daems Netherlands
Chen Cao China
Allen Goodman United States
Yan Cui United States
Yun Bai China
J Hayashi Japan
Makoto Inaba Japan
Andreas Zimmermann Germany
Huayan Wang relative to Keisuke Izumi Japan Keisuke Izumi's profile →
Citations per field
00.5×2.5×
Keisuke Izumi · 1×
Citations per year

Countries citing papers authored by Huayan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huayan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010238
2 2017153
3 199197
4 202093
5 201280
6 199764
7 201261
8 202159
9 201158
10 202255
11 199749
12 199547
13 201045
14 199743
15 201442
16 201040
17 201837
18 201437
19 200837
20 200836

About Huayan Wang

Huayan Wang is a scholar working on Molecular Biology, Surgery, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Genetics, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (23 papers), Renal and related cancers (14 papers), Tissue Engineering and Regenerative Medicine (13 papers), Animal Genetics and Reproduction (11 papers), Reproductive Biology and Fertility (11 papers), Mitochondrial Function and Pathology (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Computer Vision and Pattern Recognition (268 citations), Reproductive Medicine (79 citations), Clinical Biochemistry (63 citations) and Aging (17 citations). Huayan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Larry Fliegel, De Cheng, Dyal Singh, Qiang Yang, Mario Ascoli, Deborah L. Segaloff, Xiaolei Liu, Yuguang Shi, Tong Yu and Yajun Liu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Physiology, Archives of Biochemistry and Biophysics, PLoS ONE and Cell Biology International.

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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