Kripa Patel
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Structural Biology top 10%
Papers in
-
- Neurobiology and Insect Physiology Research 3
- Photoreceptor and optogenetics research 2
- Neuroscience and Neural Engineering 1
-
- Advanced Fluorescence Microscopy Techniques 5
- Cell Image Analysis Techniques 3
- Co-authors
- Alan J. Grodzinsky (1 shared paper)William J. Polacheck (1 shared paper)Hadi T. Nia (1 shared paper)Seok Hyun Yun (1 shared paper)Roger D. Kamm (1 shared paper)Giuliano Scarcelli (1 shared paper)Elizabeth M. C. Hillman (10 shared papers)Wenze Li (7 shared papers)
- Journals
- Nature Methods (2 papers)Nature Biomedical Engineering (1 paper)Current Biology (1 paper)Cancer Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kripa Patel
12 papers receiving 703 citations
Peers
Comparison fields: 5 of 92
- Biophysics 271
- Structural Biology 22
- Cell Biology 158
- Aging 13
- Biomedical Engineering 276
Countries citing papers authored by Kripa Patel
This map shows the geographic impact of Kripa Patel'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 Kripa Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kripa Patel more than expected).
Fields of papers citing papers by Kripa Patel
This network shows the impact of papers produced by Kripa Patel. 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 Kripa Patel. The network helps show where Kripa Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Kripa Patel, 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 | 2015 | 304 | |
| 2 | 2019 | 187 | |
| 3 | 2020 | 63 | |
| 4 | 2014 | 62 | |
| 5 | 2022 | 44 | |
| 6 | 2018 | 27 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 12 | |
| 9 | 2024 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2018 | 1 |
About Kripa Patel
Kripa Patel is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 726 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (3 papers), Neurobiology and Insect Physiology Research (3 papers), Photoreceptor and optogenetics research (2 papers), Single-cell and spatial transcriptomics (1 paper), Animal Behavior and Reproduction (1 paper), Neuroscience and Neural Engineering (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Biophysics (271 citations), Structural Biology (22 citations), Cell Biology (158 citations), Aging (13 citations) and Biomedical Engineering (276 citations). Kripa Patel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan J. Grodzinsky, William J. Polacheck, Hadi T. Nia, Seok Hyun Yun, Roger D. Kamm, Giuliano Scarcelli, Elizabeth M. C. Hillman, Wenze Li, Venkatakaushik Voleti and Citlali Pérez Campos. Their work appears in journals such as Nature Methods, Nature Biomedical Engineering, Current Biology, Cancer Letters and Nature Communications.
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.