Feng Zhang
- Cellular and Molecular Neuroscience top 0.05%
- Photoreceptor and optogenetics research 36
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 16
- Biomaterials top 0.1%
- Supramolecular Self-Assembly in Materials 24
- Electrospun Nanofibers in Biomedical Applications 23
- Silk-based biomaterials and applications 23
- Nanoparticle-Based Drug Delivery 20
- Biomedical Engineering top 0.2%
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- Advanced biosensing and bioanalysis techniques 39
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- Gold and Silver Nanoparticles Synthesis and Applications 22
- Co-authors
- Karl DeisserothEdward S. BoydenErnst BambergGeorg NagelWolfgang J. ParakOfer YizharVikaas S. SohalPilar Rivera Gil
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Feng Zhang
321 papers receiving 19.3k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Cellular and Molecular Neuroscience 8.5k
- Cognitive Neuroscience 4.8k
- Biomaterials 3.0k
- Biomedical Engineering 4.8k
- Endocrine and Autonomic Systems 695
Countries citing papers authored by Feng Zhang
This map shows the geographic impact of Feng Zhang'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 Feng Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Zhang more than expected).
Fields of papers citing papers by Feng Zhang
This network shows the impact of papers produced by Feng Zhang. 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 Feng Zhang. The network helps show where Feng Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Zhang, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 15 | |
| 14 | 2023 | 18 | |
| 15 | 2023 | 12 | |
| 16 | 2022 | 51 | |
| 17 | 2022 | 26 | |
| 18 | Sustained co-delivery of ibuprofen and basic fibroblast growth factor by thermosensitive nanoparticle hydrogel as early local treatment of peri-implantitis | 2019 | 1 |
| 19 | 2018 | 1 | |
| 20 | 2018 | 123 |
About Feng Zhang
Feng Zhang is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 341 papers that have together received 19.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (39 papers), Photoreceptor and optogenetics research (36 papers), Supramolecular Self-Assembly in Materials (24 papers), Electrospun Nanofibers in Biomedical Applications (23 papers), Silk-based biomaterials and applications (23 papers), Gold and Silver Nanoparticles Synthesis and Applications (22 papers), Nanoparticle-Based Drug Delivery (20 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.5k citations), Cognitive Neuroscience (4.8k citations) and Biomaterials (3.0k citations). Feng Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Karl Deisseroth, Edward S. Boyden, Ernst Bamberg, Georg Nagel, Wolfgang J. Parak, Ofer Yizhar, Vikaas S. Sohal, Pilar Rivera Gil, Marco Zanella and Ralph A. Sperling. Their work appears in journals such as Nature, Science and Cell.
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.