Ritchie Chen
-
- Photoreceptor and optogenetics research 6
- Neuroscience and Neural Engineering 6
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery 2
- Supramolecular Self-Assembly in Materials 2
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 5
- Biomedical Engineering top 5%
- Polymers and Plastics top 5%
-
- Chemical Synthesis and Analysis 2
- Single-cell and spatial transcriptomics 2
-
- Advanced Memory and Neural Computing 2
- Co-authors
- Polina AnikeevaAndrés CanalesMichael G. ChristiansenA. MohrGabriela RomeroKarl DeisserothKi Tae NamPhilip H. Choi
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Ritchie Chen
20 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cellular and Molecular Neuroscience 1.2k
- Biomaterials 498
- Cognitive Neuroscience 444
- Biomedical Engineering 954
- Polymers and Plastics 263
Countries citing papers authored by Ritchie Chen
This map shows the geographic impact of Ritchie Chen'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 Ritchie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritchie Chen more than expected).
Fields of papers citing papers by Ritchie Chen
This network shows the impact of papers produced by Ritchie Chen. 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 Ritchie Chen. The network helps show where Ritchie Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ritchie Chen, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 33 | |
| 6 | 2021 | 108 | |
| 7 | 2020 | 150 | |
| 8 | 2020 | 55 | |
| 9 | 2019 | 86 | |
| 10 | 2019 | 119 | |
| 11 | 2019 | 158 | |
| 12 | One-step optogenetics with multifunctional flexible polymer fibers | 2017 | 2 |
| 13 | 2017 | 289 | |
| 14 | Neural recording and modulation technologiesbreakdown → | 2017 | 481 |
| 15 | 2016 | 92 | |
| 16 | 2015 | 52 | |
| 17 | 2015 | 31 | |
| 18 | Wireless magnetothermal deep brain stimulationbreakdown → | 2015 | 501 |
| 19 | 2011 | 86 | |
| 20 | 2010 | 367 |
About Ritchie Chen
Ritchie Chen is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Cognitive Neuroscience, having authored 22 papers that have together received 2.8k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (6 papers), Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (5 papers), Chemical Synthesis and Analysis (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Memory and Neural Computing (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Supramolecular Self-Assembly in Materials (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Biomaterials (498 citations) and Cognitive Neuroscience (444 citations). Ritchie Chen has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Polina Anikeeva, Andrés Canales, Michael G. Christiansen, A. Mohr, Gabriela Romero, Karl Deisseroth, Ki Tae Nam, Philip H. Choi, Ronald N. Zuckermann and Sarah A. Shelby. Their work appears in journals such as Nature Neuroscience, Cell, Advanced Healthcare Materials, ACS Nano and Science.
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.