Kah-Whye Peng

7.6k citations
102 papers · 6.2k indexed · 1 hit paper · h-index 43

Kah-Whye Peng

101 papers receiving 6.0k citations

Hit Papers

Oncolytic virotherapy1.1k20122026201620212505007501000

Peers

Kah-Whye Peng
Comparison fields: 5 of 119
  • Genetics 4.6k
  • Animal Science and Zoology 1.3k
  • Oncology 2.2k
  • Biotechnology 548
  • Epidemiology 1.7k
Replace Jürgen A. Kleinschmidt with:
Jürgen A. Kleinschmidt Germany
Frank Tufaro Canada
P. H. Gallimore United Kingdom
Takis S. Papas United States
Nelson A. Wivel United States
Caroline J. Breitbach Canada
L. Crawford United Kingdom
Robert Ralston United States
Jean–Claude Weill France
E Harlow United States
Kah-Whye Peng relative to Jürgen A. Kleinschmidt Germany Jürgen A. Kleinschmidt's profile →
Citations per field
00.5×4.2×
Jürgen A. Kleinschmidt · 1×
Citations per year

Countries citing papers authored by Kah-Whye Peng

Since Specialization
Citations

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

Fields of papers citing papers by Kah-Whye Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kah-Whye Peng. 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 Kah-Whye Peng. The network helps show where Kah-Whye Peng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20206
2 201737
3 201646
4 20167
5 201624
6 201617
7 20148
8 201357
9 201325
10 201314
11 2010252
12 201060
13 200673
14 200684
15 20039
16 2001159
17
Vector development for cancer gene therapy
199919
18 199922
19 199651
20 19937

About Kah-Whye Peng

Kah-Whye Peng is a scholar working on Animal Science and Zoology, Genetics and Epidemiology, having authored 102 papers that have together received 6.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (77 papers), Virology and Viral Diseases (33 papers), Animal Virus Infections Studies (30 papers), CAR-T cell therapy research (20 papers), Viral gastroenteritis research and epidemiology (9 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Herpesvirus Infections and Treatments (8 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Genetics (4.6k citations), Animal Science and Zoology (1.3k citations) and Oncology (2.2k citations). Kah-Whye Peng has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Stephen J. Russell, John C. Bell, Takafumi Nakamura, Roberto Cattaneo, Mark J. Federspiel, Mary Harvey, Philip R. Greipp, Evanthia Galanis, Bambi D. Anderson and Luke Russell. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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2026