H J Kung

2.7k citations
40 papers · 2.3k · h-index 26

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • RNA and protein synthesis mechanisms 6
    • RNA Research and Splicing 4
    • Glycosylation and Glycoproteins Research 4
    • Herpesvirus Infections and Treatments 14
    • Cytomegalovirus and herpesvirus research 9

H J Kung

39 papers receiving 2.2k citations

Peers

H J Kung
Comparison fields: 5 of 96
  • Virology 224
  • Epidemiology 793
  • Molecular Biology 1.2k
  • Immunology 332
  • Animal Science and Zoology 152
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H J Kung relative to Steven J. Werden United States Steven J. Werden's profile →
Citations per field
00.5×1.5×2.4×
Steven J. Werden · 1×
Citations per year

Countries citing papers authored by H J Kung

Since Specialization
Citations

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

Fields of papers citing papers by H J Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H J Kung. 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 H J Kung. The network helps show where H J Kung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CWR22: the first human prostate cancer xenograft with strongly androgen-dependent and relapsed strains both in vivo and in soft agar.
1996207
2 1990166
3 2010137
4 1992130
5 2013129
6 1992120
7 1981110
8 1997106
9 199197
10 199192
11 198591
12 198775
13 199773
14 198573
15 199665
16 199662
17 199856
18 200151
19 198351
20 199045

About H J Kung

H J Kung is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Plant Science, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (14 papers), Cytomegalovirus and herpesvirus research (9 papers), Virus-based gene therapy research (8 papers), Plant Virus Research Studies (6 papers), RNA and protein synthesis mechanisms (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), RNA Research and Splicing (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Virology (224 citations), Epidemiology (793 citations), Molecular Biology (1.2k citations), Immunology (332 citations) and Animal Science and Zoology (152 citations). H J Kung has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include R. L. Witter, Carol P. Gibbs, Robert J. Isfort, Daishi Fujita, A. M. Fadly, L. B. Crittenden, Y K Fung, M Antczak, Akio Tanaka and Stephen K. Anderson. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Current topics in microbiology and immunology and Journal of Asian Architecture and Building Engineering.

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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