Jin Wu
Impact in
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
Papers in
-
- Nicotinic Acetylcholine Receptors Study 11
- Advanced biosensing and bioanalysis techniques 6
-
- Nanoplatforms for cancer theranostics 12
- Co-authors
- Kenji Hashimoto (27 shared papers)Qian Ren (7 shared papers)Yūkō Fujita (8 shared papers)Ji‐chun Zhang (6 shared papers)Wei Yao (4 shared papers)Chun Yang (4 shared papers)Masatomo Ishikawa (5 shared papers)Jichun Zhang (6 shared papers)
- Journals
- PLoS ONE (7 papers)Japanese Journal of Applied Physics (5 papers)Advanced Materials (4 papers)ACS Applied Materials & Interfaces (3 papers)Journal of Synchrotron Radiation (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jin Wu
97 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 143
- Biological Psychiatry 514
- Behavioral Neuroscience 352
- Cellular and Molecular Neuroscience 388
- Developmental Neuroscience 87
- Neurology 163
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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 314 | |
| 2 | 2015 | 245 | |
| 3 | 2021 | 193 | |
| 4 | 2022 | 131 | |
| 5 | 2016 | 128 | |
| 6 | 2010 | 120 | |
| 7 | 2011 | 99 | |
| 8 | 2016 | 97 | |
| 9 | 2010 | 88 | |
| 10 | 2013 | 87 | |
| 11 | 2002 | 82 | |
| 12 | 2019 | 78 | |
| 13 | 2012 | 67 | |
| 14 | 2009 | 62 | |
| 15 | 2009 | 59 | |
| 16 | 2021 | 58 | |
| 17 | 2022 | 56 | |
| 18 | 2016 | 52 | |
| 19 | 2015 | 52 | |
| 20 | 2012 | 50 |
About Jin Wu
Jin Wu is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Pharmacology and Radiation, having authored 99 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Tryptophan and brain disorders (9 papers), Advanced X-ray Imaging Techniques (9 papers), Advanced Nanomaterials in Catalysis (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nanocluster Synthesis and Applications (6 papers). The work is most often cited by research in Biological Psychiatry (514 citations), Behavioral Neuroscience (352 citations), Cellular and Molecular Neuroscience (388 citations), Developmental Neuroscience (87 citations) and Neurology (163 citations). Jin Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kenji Hashimoto, Qian Ren, Yūkō Fujita, Ji‐chun Zhang, Wei Yao, Chun Yang, Masatomo Ishikawa, Jichun Zhang, Xinglu Huang and Qiqi Liu. Their work appears in journals such as PLoS ONE, Japanese Journal of Applied Physics, Advanced Materials, ACS Applied Materials & Interfaces and Journal of Synchrotron Radiation.
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.