Ka‐Wei Tang

839 citations
20 papers · 588 · h-index 13

Impact in

  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Viral-associated cancers and disorders

Papers in

    • Cytomegalovirus and herpesvirus research 5
    • Herpesvirus Infections and Treatments 4
    • Polyomavirus and related diseases 4
    • Viral-associated cancers and disorders 2

Ka‐Wei Tang

20 papers receiving 585 citations

Peers

Ka‐Wei Tang
Comparison fields: 5 of 70
  • Epidemiology 275
  • Oncology 146
  • Hepatology 42
  • Virology 24
  • Molecular Medicine 25
Replace Taravat Bamdad with:
Taravat Bamdad Iran
Youhui Si China
Gregor Ebert Australia
Renu Dudani Canada
Yiquan Wu China
Barbara Bathke Switzerland
Adelle P. McFarland United States
Pierre-Emmanuel Joubert France
Jérémie Decalf France
Kyoko Kurosawa United States
Ka‐Wei Tang relative to Taravat Bamdad Iran Taravat Bamdad's profile →
Citations per field
00.5×
Taravat Bamdad · 1×
Citations per year

Countries citing papers authored by Ka‐Wei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ka‐Wei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Wei Tang. 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 Ka‐Wei Tang. The network helps show where Ka‐Wei Tang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013222
2 201960
3 201152
4 201435
5 201830
6 202225
7 202024
8 201721
9 201817
10 202114
11 200914
12 202212
13 201712
14 202112
15 20239
16 20248
17 20146
18 20255
19 20145
20 20195

About Ka‐Wei Tang

Ka‐Wei Tang is a scholar working on Epidemiology, Oncology, Molecular Biology, Genetics and Immunology, having authored 20 papers that have together received 588 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Hepatitis C virus research (4 papers), Immune Cell Function and Interaction (4 papers), Polyomavirus and related diseases (4 papers), Herpesvirus Infections and Treatments (4 papers), Animal Virus Infections Studies (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Epidemiology (275 citations), Oncology (146 citations), Hepatology (42 citations), Virology (24 citations) and Molecular Medicine (25 citations). Ka‐Wei Tang has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include Erik Larsson, Magnus Lindh, Tore Samuelsson, Babak Alaei-Mahabadi, Per Elias, Isabella Muylaert, J. Waldenström, Martin Lagging, Kristina Nystrôm and Kristoffer Hellstrand. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Scientific Reports, Nature Communications and RNA.

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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