Jin Wu
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- CCD and CMOS Imaging Sensors 3
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- Cancer therapeutics and mechanisms 4
- Histone Deacetylase Inhibitors Research 4
- Co-authors
- Katherine Young (3 shared papers)Matthew L. Rizk (3 shared papers)Donna Carr (2 shared papers)Fred Racine (2 shared papers)Mary Motyl (2 shared papers)Christopher M. Tan (5 shared papers)Caroline Chung (5 shared papers)James I. Fells (5 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Antimicrobial Agents and Chemotherapy (3 papers)ACS Medicinal Chemistry Letters (2 papers)Energies (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jin Wu
27 papers receiving 367 citations
Peers
Comparison fields: 5 of 76
- Molecular Medicine 136
- Applied Microbiology and Biotechnology 39
- Pharmacology 132
- Toxicology 23
- Virology 20
Countries citing papers authored by Jin Wu
This map shows the geographic impact of Jin Wu'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 Jin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wu more than expected).
Fields of papers citing papers by Jin Wu
This network shows the impact of papers produced by Jin Wu. 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 Jin Wu. The network helps show where Jin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 58 | |
| 2 | 2018 | 46 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2014 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2015 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2014 | 5 |
About Jin Wu
Jin Wu is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Molecular Medicine, Infectious Diseases and Pharmacology, having authored 30 papers that have together received 371 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (4 papers), Cancer therapeutics and mechanisms (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Vacuum and Plasma Arcs (3 papers) and CCD and CMOS Imaging Sensors (3 papers). The work is most often cited by research in Molecular Medicine (136 citations), Applied Microbiology and Biotechnology (39 citations), Pharmacology (132 citations), Toxicology (23 citations) and Virology (20 citations). Jin Wu has collaborated with scholars based in China and United States. Frequent co-authors include Katherine Young, Matthew L. Rizk, Donna Carr, Fred Racine, Mary Motyl, Christopher M. Tan, Caroline Chung, James I. Fells, Richard J. O. Barnard and Bonnie J. Howell. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy, ACS Medicinal Chemistry Letters, Energies and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.