Weikang Wang

1.2k citations
35 papers · 674 · h-index 17

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 7
    • CRISPR and Genetic Engineering 4
    • Virus-based gene therapy research 12

Weikang Wang

33 papers receiving 667 citations

Peers

Weikang Wang
Comparison fields: 5 of 100
  • Biophysics 74
  • Animal Science and Zoology 82
  • Genetics 166
  • Aging 9
  • Oncology 123
Replace Erik Müllers with:
Erik Müllers Sweden
Chiaowen Joyce Hsiao United States
Hans‐Hermann Wessels United States
Eugen Buehler United States
Laura N. Burga New Zealand
Andrew Kohlway United States
Tasuku Kitada United States
William S. DeWitt United States
Caleb J. Kennedy United States
Shira Weingarten-Gabbay Israel
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Citations per field
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Erik Müllers · 1×
Citations per year

Countries citing papers authored by Weikang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weikang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 202061
3 201950
4 201446
5 202043
6 202140
7 201831
8 201928
9 202225
10 202224
11 202523
12 201321
13 201819
14 202419
15 201918
16 201916
17 202016
18 202015
19 201111
20 202510

About Weikang Wang

Weikang Wang is a scholar working on Molecular Biology, Genetics, Oncology, Animal Science and Zoology and Infectious Diseases, having authored 35 papers that have together received 674 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Cancer Cells and Metastasis (5 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), CRISPR and Genetic Engineering (4 papers), Advanced Photocatalysis Techniques (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Biophysics (74 citations), Animal Science and Zoology (82 citations), Genetics (166 citations), Aging (9 citations) and Oncology (123 citations). Weikang Wang has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Jianhua Xing, Jianqiang Ye, Tuofan Li, Aijian Qin, Simon C. Watkins, Kimiko Della Croce, Guang Yao, Xia Wang, Callen T. Wallace and Zhimin Wan. Their work appears in journals such as BMC Veterinary Research, Frontiers in Veterinary Science, Journal of Virology, PLoS ONE and Acta Physico-Chimica Sinica.

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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