Heta Patel
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
-
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 4
- Gene Regulatory Network Analysis 4
- RNA Research and Splicing 4
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 3
-
- Advanced Fluorescence Microscopy Techniques 4
- Co-authors
- Tineke L. Lenstra (8 shared papers)Myong‐Hee Sung (2 shared papers)David A. Ball (1 shared paper)Anh Huynh (1 shared paper)Matthew Ferguson (1 shared paper)Benjamin Donovan (1 shared paper)Daniel R. Larson (1 shared paper)Michael G. Poirier (1 shared paper)
- Journals
- The EMBO Journal (2 papers)eLife (2 papers)MMWR Morbidity and Mortality Weekly Report (1 paper)Molecular Cell (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Heta Patel
17 papers receiving 527 citations
Peers
Comparison fields: 5 of 79
- Biophysics 51
- Molecular Biology 370
- Immunology 79
- Cancer Research 45
- Cell Biology 48
Countries citing papers authored by Heta Patel
This map shows the geographic impact of Heta 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 Heta Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heta Patel more than expected).
Fields of papers citing papers by Heta Patel
This network shows the impact of papers produced by Heta 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 Heta Patel. The network helps show where Heta Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Heta 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 | 2019 | 145 | |
| 2 | 2017 | 115 | |
| 3 | 2023 | 36 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 31 | |
| 6 | 2023 | 29 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2017 | 16 | |
| 12 | 2015 | 11 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 |
About Heta Patel
Heta Patel is a scholar working on Molecular Biology, Biophysics, Genetics, General Health Professions and Immunology, having authored 17 papers that have together received 533 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Gene Regulatory Network Analysis (4 papers), RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers), NF-κB Signaling Pathways (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biophysics (51 citations), Molecular Biology (370 citations), Immunology (79 citations), Cancer Research (45 citations) and Cell Biology (48 citations). Heta Patel has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Tineke L. Lenstra, Myong‐Hee Sung, David A. Ball, Anh Huynh, Matthew Ferguson, Benjamin Donovan, Daniel R. Larson, Michael G. Poirier, Ineke Brouwer and Wim Pomp. Their work appears in journals such as The EMBO Journal, eLife, MMWR Morbidity and Mortality Weekly Report, Molecular Cell and Current Biology.
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.