Junfeng Su
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
-
- Neuroscience and Neuropharmacology Research 6
- Neuropeptides and Animal Physiology 4
- Photoreceptor and optogenetics research 2
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- Receptor Mechanisms and Signaling 4
- Advanced Biosensing Techniques and Applications 2
- Co-authors
- M Parent (1 shared paper)Théoden I. Netoff (1 shared paper)Li‐Lian Yuan (1 shared paper)Lidan Wang (1 shared paper)Li Liu (3 shared papers)Yalou Huang (3 shared papers)Ralph P. Mason (3 shared papers)Jun Zhang (1 shared paper)
- Journals
- Journal of Nanoscience and Nanotechnology (3 papers)Nature Communications (2 papers)Scientific Reports (2 papers)Cerebral Cortex (2 papers)Solar Energy (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junfeng Su
17 papers receiving 362 citations
Peers
Comparison fields: 5 of 78
- Behavioral Neuroscience 34
- Cellular and Molecular Neuroscience 157
- Developmental Neuroscience 32
- Cognitive Neuroscience 108
- Endocrine and Autonomic Systems 20
Countries citing papers authored by Junfeng Su
This map shows the geographic impact of Junfeng Su'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 Junfeng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Su more than expected).
Fields of papers citing papers by Junfeng Su
This network shows the impact of papers produced by Junfeng Su. 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 Junfeng Su. The network helps show where Junfeng Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Su, 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 | 2009 | 127 | |
| 2 | 2021 | 57 | |
| 3 | 2008 | 38 | |
| 4 | 2008 | 30 | |
| 5 | 2023 | 22 | |
| 6 | 2018 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2008 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2019 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Junfeng Su
Junfeng Su is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Materials Chemistry and Pathology and Forensic Medicine, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Quantum Dots Synthesis And Properties (3 papers), Neural dynamics and brain function (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Spinal Cord Injury Research (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Behavioral Neuroscience (34 citations), Cellular and Molecular Neuroscience (157 citations), Developmental Neuroscience (32 citations), Cognitive Neuroscience (108 citations) and Endocrine and Autonomic Systems (20 citations). Junfeng Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include M Parent, Théoden I. Netoff, Li‐Lian Yuan, Lidan Wang, Li Liu, Yalou Huang, Ralph P. Mason, Jun Zhang, Jun Zhang and Jufang He. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Nature Communications, Scientific Reports, Cerebral Cortex and Solar Energy.
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.