P.P. Hung

1.4k citations
62 papers · 1.2k · h-index 20

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Virus-based gene therapy research 20

P.P. Hung

62 papers receiving 1.1k citations

Peers

P.P. Hung
Comparison fields: 5 of 84
  • Virology 83
  • Genetics 435
  • Infectious Diseases 248
  • Epidemiology 337
  • Biotechnology 73
Replace Kiyohisa Mizumoto with:
Kiyohisa Mizumoto Japan
Wouter C. Puijk Netherlands
Stephen Su United States
Marianne Mangeney France
Shirley Gillam Canada
Takuo Mizukami Japan
A H Fieldsteel United States
Jwu‐Sheng Tung United States
D. Eugene Wampler United States
Richard K. Bestwick United States
P.P. Hung relative to Kiyohisa Mizumoto Japan Kiyohisa Mizumoto's profile →
Citations per field
00.5×1.5×1.9×
Kiyohisa Mizumoto · 1×
Citations per year

Countries citing papers authored by P.P. Hung

Since Specialization
Citations

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

Fields of papers citing papers by P.P. Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.P. Hung. 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 P.P. Hung. The network helps show where P.P. Hung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989133
2 1987117
3 199389
4 198867
5 198566
6 198844
7 197043
8 198840
9 197337
10 199235
11 197530
12 196529
13 196928
14 198127
15 199127
16 199426
17 197622
18 197521
19 197521
20 201120

About P.P. Hung

P.P. Hung is a scholar working on Molecular Biology, Genetics, Epidemiology, Cancer Research and Immunology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), Protease and Inhibitor Mechanisms (11 papers), Bacteriophages and microbial interactions (9 papers), RNA and protein synthesis mechanisms (8 papers), Hepatitis B Virus Studies (7 papers), Antibiotic Resistance in Bacteria (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Blood Coagulation and Thrombosis Mechanisms (6 papers). The work is most often cited by research in Virology (83 citations), Genetics (435 citations), Infectious Diseases (248 citations), Epidemiology (337 citations) and Biotechnology (73 citations). P.P. Hung has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael D. Lubeck, A. Davis, Lacy R. Overby, Chung‐Mei Ling, B B Mason, Alan J. Conley, Satoshi Mizutani, Narender K. Kalyan, Murty Chengalvala and Katherine L. Molnar-Kimber. Their work appears in journals such as Gene, Nature, Proceedings of the National Academy of Sciences, Virology 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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