Kuan‐Teh Jeang

16.7k citations
213 papers · 13.3k indexed · 3 hit papers · h-index 64

Kuan‐Teh Jeang

211 papers receiving 13.1k citations

Hit Papers

Human T-cell leukaemia virus type 1 (HTLV-1)...6281989202620012013200400600

Peers

Kuan‐Teh Jeang
Comparison fields: 5 of 132
  • Virology 3.2k
  • Immunology 4.8k
  • Agronomy and Crop Science 2.2k
  • Cancer Research 2.1k
  • Ecology, Evolution, Behavior and Systematics 2.1k
Replace John Brady with:
John Brady United States
Fatah Kashanchi United States
C A Rosen United States
Arsène Burny Belgium
Francis W. Ruscetti United States
Masakazu Hatanaka Japan
Kuan-Teh Jeang United States
Yuetsu Tanaka Japan
Shoji Yamaoka Japan
Dean W. Ballard United States
Kuan‐Teh Jeang relative to John Brady United States John Brady's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kuan‐Teh Jeang

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Teh Jeang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Teh Jeang. 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 Kuan‐Teh Jeang. The network helps show where Kuan‐Teh Jeang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20145
2 201171
3 20116
4 201081
5 201018
6 2008147
7 20082
8
Suppression of MicroRNA-Silencing Pathway by HIV-1 During Virus Replicationbreakdown →
2007516
9 200657
10 200515
11 20053
12 2004457
13 200317
14
CLASTOGENIC AND ANEUGENIC DNA DAMAGE IN HTLV-I Tax-EXPRESSING CELLS
20031
15 200386
16 2002109
17 20001
18 200034
19 200024
20 1998156

About Kuan‐Teh Jeang

Kuan‐Teh Jeang is a scholar working on Virology, Agronomy and Crop Science and Immunology, having authored 213 papers that have together received 13.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (68 papers), HIV Research and Treatment (57 papers), Animal Disease Management and Epidemiology (44 papers), Vector-Borne Animal Diseases (43 papers), RNA Research and Splicing (41 papers), RNA Interference and Gene Delivery (34 papers), RNA regulation and disease (21 papers) and HIV/AIDS drug development and treatment (18 papers). The work is most often cited by research in Virology (3.2k citations), Immunology (4.8k citations) and Agronomy and Crop Science (2.2k citations). Kuan‐Teh Jeang has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Ben Berkhout, Masao Matsuoka, Venkat S. R. K. Yedavalli, Man Lung Yeung, Dong‐Yan Jin, Yamina Bennasser, Anne Gatignol, Ya‐Hui Chi, Laurent Houzet and Christine Neuveut. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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