Jin Bao
Impact in
- Radiation top 5%
- Radiation Detection and Scintillator Technologies
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Photoreceptor and optogenetics research 9
- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 2
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- Retinal Development and Disorders 5
- CRISPR and Genetic Engineering 3
- Co-authors
- Tian Xue (9 shared papers)Yuqian Ma (4 shared papers)Takeshi Sakaba (2 shared papers)Mei Zhang (5 shared papers)Huan Zhao (5 shared papers)Gang Han (1 shared paper)Yang Zhao (1 shared paper)Yuanwei Zhang (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Stem Cells (1 paper)Chemical Communications (1 paper)Cell Research (1 paper)Stem Cell Research (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jin Bao
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Radiation 213
- Cellular and Molecular Neuroscience 283
- Radiology, Nuclear Medicine and Imaging 356
- Endocrine and Autonomic Systems 101
- Neurology 62
Countries citing papers authored by Jin Bao
This map shows the geographic impact of Jin Bao'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 Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Bao more than expected).
Fields of papers citing papers by Jin Bao
This network shows the impact of papers produced by Jin Bao. 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 Bao. The network helps show where Jin Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Bao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 350 | |
| 2 | 2019 | 233 | |
| 3 | 2020 | 117 | |
| 4 | 2019 | 71 | |
| 5 | 2010 | 57 | |
| 6 | 2019 | 54 | |
| 7 | 2003 | 23 | |
| 8 | 2015 | 22 | |
| 9 | 2015 | 20 | |
| 10 | 2010 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 4 | |
| 18 | Evaluation of a new high resolution research tomograph: The ECAT HRRT. | 2002 | 0 |
| 19 | 2007 | 0 |
About Jin Bao
Jin Bao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Sensory Systems and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Retinal Development and Disorders (5 papers), Medical Imaging Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Radiation (213 citations), Cellular and Molecular Neuroscience (283 citations), Radiology, Nuclear Medicine and Imaging (356 citations), Endocrine and Autonomic Systems (101 citations) and Neurology (62 citations). Jin Bao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Tian Xue, Yuqian Ma, Takeshi Sakaba, Mei Zhang, Huan Zhao, Gang Han, Yang Zhao, Yuanwei Zhang, Changlin Wan and Xiangyu Zhou. Their work appears in journals such as Journal of Neuroscience, Stem Cells, Chemical Communications, Cell Research and Stem Cell Research.
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.