Ka‐Wei Tang

839 total citations
20 papers, 588 citations indexed

About

Ka‐Wei Tang is a scholar working on Epidemiology, Oncology and Molecular Biology. According to data from OpenAlex, Ka‐Wei Tang has authored 20 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Ka‐Wei Tang's work include Virus-based gene therapy research (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (4 papers). Ka‐Wei Tang is often cited by papers focused on Virus-based gene therapy research (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (4 papers). Ka‐Wei Tang collaborates with scholars based in Sweden, Italy and United States. Ka‐Wei Tang's co-authors include Erik Larsson, Magnus Lindh, Tore Samuelsson, Babak Alaei-Mahabadi, Per Elias, Isabella Muylaert, Kristoffer Hellstrand, Kristina Nystrôm, Martin Lagging and J. Waldenström and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ka‐Wei Tang

20 papers receiving 585 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ka‐Wei Tang Sweden 13 275 183 146 85 71 20 588
John Lyle United States 8 233 0.8× 223 1.2× 89 0.6× 123 1.4× 105 1.5× 15 571
Kristin Bedard United States 9 258 0.9× 327 1.8× 110 0.8× 169 2.0× 171 2.4× 20 748
Chi Wai Yip Hong Kong 18 236 0.9× 214 1.2× 128 0.9× 80 0.9× 297 4.2× 36 718
Mihai Gagea United States 11 110 0.4× 163 0.9× 89 0.6× 174 2.0× 58 0.8× 20 662
Yiquan Wu China 11 302 1.1× 194 1.1× 61 0.4× 196 2.3× 97 1.4× 13 728
Kate Hole Canada 16 116 0.4× 294 1.6× 117 0.8× 94 1.1× 103 1.5× 28 849
Marietta Müller United Kingdom 11 142 0.5× 107 0.6× 120 0.8× 69 0.8× 72 1.0× 14 398
Taravat Bamdad Iran 16 226 0.8× 243 1.3× 73 0.5× 195 2.3× 53 0.7× 79 638
Paul J. F. Rider United States 12 265 1.0× 188 1.0× 71 0.5× 84 1.0× 51 0.7× 21 478
Kashif Aziz Khan France 15 187 0.7× 213 1.2× 90 0.6× 238 2.8× 177 2.5× 25 711

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-authorship network of co-authors of Ka‐Wei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ka‐Wei Tang. A scholar is included among the top collaborators of Ka‐Wei Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ka‐Wei Tang. Ka‐Wei Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mathew, Nimitha R., Karin Schön, Anneli Strömberg, et al.. (2025). Ectopic germinal centers in the nasal turbinates contribute to B cell immunity to intranasal viral infection and vaccination. Proceedings of the National Academy of Sciences. 122(12). e2421724122–e2421724122. 5 indexed citations
2.
Pesce, Silvia, et al.. (2024). Deletion of the TMEM30A gene enables leukemic cell evasion of NK cell cytotoxicity. Proceedings of the National Academy of Sciences. 121(15). e2316447121–e2316447121. 8 indexed citations
3.
Pesce, Silvia, et al.. (2023). NKG2A gene variant predicts outcome of immunotherapy in AML and modulates the repertoire and function of NK cells. Journal for ImmunoTherapy of Cancer. 11(8). e007202–e007202. 9 indexed citations
4.
Sikora, Per, et al.. (2022). Optimization of cerebrospinal fluid microbial DNA metagenomic sequencing diagnostics. Scientific Reports. 12(1). 3378–3378. 12 indexed citations
5.
Wang, Qishan, et al.. (2022). Detection of carbapenem-resistant hypervirulent Klebsiella pneumoniae ST11-K64 co-producing NDM-1 and KPC-2 in a tertiary hospital in Wuhan. Journal of Hospital Infection. 131. 70–80. 25 indexed citations
6.
7.
Thorell, Kaisa, et al.. (2021). FLAME: long-read bioinformatics tool for comprehensive spliceome characterization. RNA. 27(10). 1127–1139. 12 indexed citations
8.
Ringlander, Johan, Maria Andersson, Simon B. Larsson, et al.. (2020). Deep sequencing of liver explant transcriptomes reveals extensive expression from integrated hepatitis B virus DNA. Journal of Viral Hepatitis. 27(11). 1162–1170. 24 indexed citations
9.
10.
Nystrôm, Kristina, J. Waldenström, Ka‐Wei Tang, & Martin Lagging. (2019). Ribavirin: Pharmacology, Multiple Modes of Action and Possible Future Perspectives. Future Virology. 14(3). 153–160. 60 indexed citations
11.
Nystrôm, Kristina, Paulina H. Wanrooij, J. Waldenström, et al.. (2018). Inosine Triphosphate Pyrophosphatase Dephosphorylates Ribavirin Triphosphate and Reduced Enzymatic Activity Potentiates Mutagenesis in Hepatitis C Virus. Journal of Virology. 92(19). 17 indexed citations
12.
Nordén, Rickard, Jesper Magnusson, Ka‐Wei Tang, et al.. (2018). Quantification of Torque Teno Virus and Epstein-Barr Virus Is of Limited Value for Predicting the Net State of Immunosuppression After Lung Transplantation. Open Forum Infectious Diseases. 5(4). ofy050–ofy050. 30 indexed citations
13.
Tang, Ka‐Wei, et al.. (2017). CDK9 and SPT5 proteins are specifically required for expression of herpes simplex virus 1 replication-dependent late genes. Journal of Biological Chemistry. 292(37). 15489–15500. 12 indexed citations
14.
Tang, Ka‐Wei & Erik Larsson. (2017). Tumour virology in the era of high-throughput genomics. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1732). 20160265–20160265. 21 indexed citations
15.
Tang, Ka‐Wei, et al.. (2014). Rad51 and Rad52 Are Involved in Homologous Recombination of Replicating Herpes Simplex Virus DNA. PLoS ONE. 9(11). e111584–e111584. 5 indexed citations
16.
Tang, Ka‐Wei, Kristoffer Hellstrand, & Erik Larsson. (2014). Absence of cytomegalovirus in high‐coverage DNA sequencing of human glioblastoma multiforme. International Journal of Cancer. 136(4). 977–981. 35 indexed citations
17.
Tang, Ka‐Wei. (2014). The landscape of viral expression and host gene fusion and adaptation in human cancer (397.5). The FASEB Journal. 28(S1). 6 indexed citations
18.
Tang, Ka‐Wei, Babak Alaei-Mahabadi, Tore Samuelsson, Magnus Lindh, & Erik Larsson. (2013). The landscape of viral expression and host gene fusion and adaptation in human cancer. Nature Communications. 4(1). 2513–2513. 222 indexed citations
19.
Muylaert, Isabella, Ka‐Wei Tang, & Per Elias. (2011). Replication and Recombination of Herpes Simplex Virus DNA. Journal of Biological Chemistry. 286(18). 15619–15624. 52 indexed citations
20.
Olsson, Monica, Ka‐Wei Tang, Cecilia Persson, et al.. (2009). Stepwise Evolution of the Herpes Simplex Virus Origin Binding Protein and Origin of Replication. Journal of Biological Chemistry. 284(24). 16246–16255. 14 indexed citations

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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