I S Chen

2.8k citations
24 papers · 2.5k · h-index 21

Impact in

  • Virology top 0.2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

I S Chen

24 papers receiving 2.4k citations

Peers

I S Chen
Comparison fields: 5 of 74
  • Virology 1.6k
  • Infectious Diseases 947
  • Immunology 818
  • Agronomy and Crop Science 210
  • Genetics 491
Replace Salvatore J. Arrigo with:
Salvatore J. Arrigo United States
D Dina United States
Fadila Bouamr United States
Allyson M. Haislip United States
J W Dubay United States
S P Cort United States
T D Copeland United States
Yamina Bennasser France
Valerie Bosch Germany
Cynthia de la Fuente United States
I S Chen relative to Salvatore J. Arrigo United States Salvatore J. Arrigo's profile →
Citations per field
00.5×1.5×1.8×
Salvatore J. Arrigo · 1×
Citations per year

Countries citing papers authored by I S Chen

Since Specialization
Citations

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

Fields of papers citing papers by I S Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I S Chen. 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 I S Chen. The network helps show where I S Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992347
2 1997303
3 1996253
4 1991205
5 1994174
6 1996168
7 1993141
8 1995137
9 1989106
10 199789
11 199583
12 199778
13 199056
14 199650
15 199547
16 199744
17
Anticancer effect of a lentiviral vector capable of expressing HIV-1 Vpr.
200129
18 198527
19 199122
20 199222

About I S Chen

I S Chen is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), T-cell and Retrovirus Studies (8 papers), Animal Disease Management and Epidemiology (7 papers), HIV/AIDS drug development and treatment (7 papers), Vector-Borne Animal Diseases (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Virology (1.6k citations), Infectious Diseases (947 citations), Immunology (818 citations), Agronomy and Crop Science (210 citations) and Genetics (491 citations). I S Chen has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jeremy B. M. Jowett, Salvatore J. Arrigo, Vicente Planelles, Jerome A. Zack, Paul Krogstad, Sheila A. Stewart, Allyson M. Haislip, Betty Poon, Ramesh Akkina and Takao Masuda. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Genes & Development, The Journal of Immunology and Cancer Gene Therapy.

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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