L.F. Chuang

69 papers receiving 1.6k citations

Peers

L.F. Chuang
Comparison fields: 5 of 97
  • Virology 244
  • Cellular and Molecular Neuroscience 502
  • Toxicology 52
  • Oncology 165
  • Immunology 133
Replace Ronald Y. Chuang with:
Ronald Y. Chuang United States
Naiming Zhou China
Barbara J. Oswald United States
Kenichiro Yamada Japan
Jiankai Liu China
Peter S. Silverstein United States
Nancy Lee Reichenbach United States
Paulina Bull Chile
Kenzo Ohtsuka Japan
Claudio Franceschi Italy
L.F. Chuang relative to Ronald Y. Chuang United States Ronald Y. Chuang's profile →
Citations per field
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Ronald Y. Chuang · 1×
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995165
2 2002119
3 1994105
4 196883
5 200075
6 199574
7 200068
8 199758
9 199352
10 200252
11 199245
12 200244
13 197942
14 198940
15 200039
16 200337
17
Inhibition of chemokine-induced chemotaxis of monkey leukocytes by mu-opioid receptor agonists.
200036
18
Opioid dependency and T-helper cell functions in rhesus monkey.
199328
19 197626
20 198722

About L.F. Chuang

L.F. Chuang is a scholar working on Virology, Cellular and Molecular Neuroscience, Molecular Biology, Toxicology and Ecology, Evolution, Behavior and Systematics, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Neuropeptides and Animal Physiology (11 papers), Genomics and Chromatin Dynamics (9 papers), Cancer therapeutics and mechanisms (8 papers), Vector-Borne Animal Diseases (8 papers), Bioactive Compounds and Antitumor Agents (6 papers), Pesticide Exposure and Toxicity (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Virology (244 citations), Cellular and Molecular Neuroscience (502 citations), Toxicology (52 citations), Oncology (165 citations) and Immunology (133 citations). L.F. Chuang has collaborated with scholars based in United States. Frequent co-authors include Ronald Y. Chuang, Keith F. Killam, Roy H. Doi, E.B. Collins, Peter M. Yau, Mervyn Israel, Tomoko MIYAGI, Bennie Irve Osburn, C C Chao and H F Kung. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Toxicology, FEBS Letters and Advances in experimental medicine and biology.

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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