Xu-Shan Wang

1.5k citations
30 papers · 989 · h-index 17

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • CRISPR and Genetic Engineering

Papers in

Xu-Shan Wang

30 papers receiving 961 citations

Peers

Xu-Shan Wang
Comparison fields: 5 of 86
  • Genetics 567
  • Molecular Biology 559
  • Oncology 159
  • Infectious Diseases 90
  • Animal Science and Zoology 44
Replace Andrzej Pławski with:
Andrzej Pławski Poland
Vincenzo Giambra Italy
Yunye Liu China
Arulkumaran Shanmugam United States
Goo Lee United States
J. Bentley United Kingdom
John A. Blackford United States
Mali Ketzinel‐Gilad Israel
Jón J. Jónsson Iceland
Helene Hilfiker Switzerland
Xu-Shan Wang relative to Andrzej Pławski Poland Andrzej Pławski's profile →
Citations per field
00.5×4.4×
Andrzej Pławski · 1×
Citations per year

Countries citing papers authored by Xu-Shan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xu-Shan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997108
2 1997104
3 1998104
4 199887
5 199769
6 201155
7 199854
8 199554
9 201347
10 201641
11 201237
12 201733
13 201430
14 201124
15 201518
16 199817
17 201916
18 201514
19 199911
20 201911

About Xu-Shan Wang

Xu-Shan Wang is a scholar working on Genetics, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 30 papers that have together received 989 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (5 papers), Inflammatory mediators and NSAID effects (4 papers), Esophageal Cancer Research and Treatment (4 papers), Parvovirus B19 Infection Studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Herpesvirus Infections and Treatments (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Genetics (567 citations), Molecular Biology (559 citations), Oncology (159 citations), Infectious Diseases (90 citations) and Animal Science and Zoology (44 citations). Xu-Shan Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Selvarangan Ponnazhagan, Arun Srivastava, Keyun Qing, Dagmar Marie Kube, Benjawan Khuntirat, Ming Wu, Renqiang Han, Mervin C. Yöder, Zuo‐Feng Zhang and Jinkou Zhao. Their work appears in journals such as Journal of Virology, Bioorganic & Medicinal Chemistry Letters, Human Gene Therapy, European Journal of Cancer Prevention and International Journal of Cancer.

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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