L.F. Chuang

24 papers receiving 734 citations

Peers

L.F. Chuang
Comparison fields: 5 of 82
  • Virology 120
  • Cellular and Molecular Neuroscience 393
  • Biological Psychiatry 16
  • Agronomy and Crop Science 62
  • Neurology 49
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María Inés Barría Chile
C Carelli France
Dan Shan China
Laura Pacini Italy
Yann Verdier France
Carola Otth Chile
J. Russ Carmical United States
Robin J Goody United States
Yang Han China
W.L. Karshin United States
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Citations per field
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Citations per year

Countries citing papers authored by L.F. Chuang

Since Specialization
Citations

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

Fields of papers citing papers by L.F. Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.F. Chuang. 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 L.F. Chuang. The network helps show where L.F. Chuang may publish in the future.

Co-authors

The 25 scholars most cited alongside L.F. Chuang, 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 L.F. Chuang Line = papers co-authored together L.F. Chuang 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 1995150
2 2002107
3 1994102
4 199571
5 199352
6 199244
7 199030
8
Adaptation of gamma-aminobutyric acid type A receptors to alcohol exposure: studies with stably transfected cells.
199826
9 199524
10 198619
11 198319
12 198518
13 198816
14 198414
15 197513
16 198611
17 19989
18
Nucleoside uptake and membrane fluidity studies on N-trifluoroacetyladriamycin-14-O-hemiadipate-treated human leukemia and lymphoma cells.
19898
19 19727
20 19886

About L.F. Chuang

L.F. Chuang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science, having authored 24 papers that have together received 763 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (6 papers), Animal Disease Management and Epidemiology (6 papers), Neuropeptides and Animal Physiology (5 papers), Viral Infections and Vectors (4 papers), HIV Research and Treatment (3 papers), Receptor Mechanisms and Signaling (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Virology (120 citations), Cellular and Molecular Neuroscience (393 citations), Biological Psychiatry (16 citations), Agronomy and Crop Science (62 citations) and Neurology (49 citations). L.F. Chuang has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Ronald Y. Chuang, Keith F. Killam, Roy H. Doi, H F Kung, C C Chao, Shiro Suzuki, Peter M. Yau, Liang Yu, Wen S. Sheng and Hsing‐Jien Kung. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, American Journal of Veterinary Research and Antimicrobial Agents and Chemotherapy.

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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