Wen-Long Cho

34 papers receiving 1.5k citations

Peers

Wen-Long Cho
Comparison fields: 5 of 94
  • Molecular Medicine 345
  • Insect Science 444
  • Endocrinology 172
  • Cellular and Molecular Neuroscience 349
  • Applied Microbiology and Biotechnology 32
Replace Raman Rajagopal with:
Raman Rajagopal India
Krishnendu Mukherjee India
Manuel R. Gonzalez Switzerland
Thiago M. Venâncio Brazil
Dominique Kerbœuf France
Shian‐Ren Liou United States
Shivani Pasricha Australia
Geneviève Alloing France
Emily J. Stevens United Kingdom
Jonathan M. Solomon United States
Wen-Long Cho relative to Raman Rajagopal India Raman Rajagopal's profile →
Citations per field
00.5×10.9×
Raman Rajagopal · 1×
Citations per year

Countries citing papers authored by Wen-Long Cho

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Long Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Long Cho. 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 Wen-Long Cho. The network helps show where Wen-Long Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999168
2 2000140
3 1995111
4 199699
5 199194
6 199279
7 201277
8 199472
9 200863
10 201357
11 200953
12 200946
13 199644
14 200844
15 201044
16 201443
17 200242
18
Clinical characteristics of patients with Acinetobacter junii infection.
200934
19 201228
20 201425

About Wen-Long Cho

Wen-Long Cho is a scholar working on Molecular Biology, Molecular Medicine, Endocrinology, Cellular and Molecular Neuroscience and Epidemiology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Insect Resistance and Genetics (8 papers), Neurobiology and Insect Physiology Research (7 papers), Bacterial biofilms and quorum sensing (5 papers), Vibrio bacteria research studies (5 papers), Invertebrate Immune Response Mechanisms (3 papers), Fungal Infections and Studies (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Molecular Medicine (345 citations), Insect Science (444 citations), Endocrinology (172 citations), Cellular and Molecular Neuroscience (349 citations) and Applied Microbiology and Biotechnology (32 citations). Wen-Long Cho has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Alexander S. Raikhel, Te-Li Chen, Chang‐Phone Fung, Vladimir Kokoza, Yi‐Tzu Lee, Marianna Kapitskaya, Kirk Deitsch, Chien-Pei Chen, Thomas W. Sappington and L. Kristopher Siu. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Journal of Biomedical Science.

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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