Hsei–Wei Wang

3.4k citations
43 papers · 2.6k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Viral-associated cancers and disorders
    • Cancer Cells and Metastasis

Papers in

    • RNA modifications and cancer 5
    • Angiogenesis and VEGF in Cancer 3
    • Cancer-related molecular mechanisms research 8
    • Cancer Genomics and Diagnostics 3

Hsei–Wei Wang

42 papers receiving 2.6k citations

Peers

Hsei–Wei Wang
Comparison fields: 5 of 106
  • Cancer Research 609
  • Oncology 892
  • Genetics 329
  • Molecular Biology 1.1k
  • Developmental Neuroscience 55
Replace Xiaoli Wu with:
Xiaoli Wu China
Dzung H. Dinh United States
Katarzyna Miękus Poland
Min Jin China
Pascal Colosetti France
Raphaëlle Romieu‐Mourez United States
Alexander Valent France
Jene Choi South Korea
Luke Boulter United Kingdom
Charlie Mantel United States
Hsei–Wei Wang relative to Xiaoli Wu China Xiaoli Wu's profile →
Citations per field
00.5×1.5×2.4×
Xiaoli Wu · 1×
Citations per year

Countries citing papers authored by Hsei–Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsei–Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004354
2 2011255
3 2013244
4 2002163
5 2011142
6 2014123
7 2015114
8 2008104
9 201085
10 201185
11 201582
12 201576
13 201172
14 201269
15 200468
16 200859
17 201258
18 201358
19 201152
20 200645

About Hsei–Wei Wang

Hsei–Wei Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Epidemiology, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Viral-associated cancers and disorders (7 papers), Mesenchymal stem cell research (5 papers), RNA modifications and cancer (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cancer Research (609 citations), Oncology (892 citations), Genetics (329 citations), Molecular Biology (1.1k citations) and Developmental Neuroscience (55 citations). Hsei–Wei Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chris Boshoff, Shing‐Jyh Chang, Wei‐Chung Cheng, I‐Fang Chung, Dimitra Bourboulia, Matthew Trotter, Shung‐Haur Yang, Dimitris Lagos, Stephen J. Elliman and Shih‐Hwa Chiou. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, Blood, Journal of Surgical Oncology and Journal of Virology.

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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