Vipul Singhal
Impact in
- Biophysics top 10%
-
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
Papers in
-
- Advancements in Semiconductor Devices and Circuit Design 3
- Wireless Power Transfer Systems 3
- Low-power high-performance VLSI design 3
- Energy Harvesting in Wireless Networks 2
- Co-authors
- Richard Murray (4 shared papers)Jongmin Kim (2 shared papers)Zachary Z. Sun (2 shared papers)Shyam Prabhakar (3 shared papers)Debashis Ghosh (1 shared paper)Nigel Chou (3 shared papers)Melissa K. Takahashi (1 shared paper)Julius B. Lucks (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell (1 paper)Nature Reviews Genetics (1 paper)Nature Genetics (1 paper)Optical Engineering (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Vipul Singhal
24 papers receiving 502 citations
Vipul Singhal's Hit Papers
Peers
Comparison fields: 5 of 79
- Biophysics 28
- Molecular Biology 288
- Hardware and Architecture 20
- Nuclear Energy and Engineering 1
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Vipul Singhal
This map shows the geographic impact of Vipul Singhal'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 Vipul Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipul Singhal more than expected).
Fields of papers citing papers by Vipul Singhal
This network shows the impact of papers produced by Vipul Singhal. 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 Vipul Singhal. The network helps show where Vipul Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Vipul Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 134 | |
| 2 | BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis Hit paper breakdown → | 2024 | 119 |
| 3 | 2021 | 53 | |
| 4 | 2019 | 45 | |
| 5 | 2004 | 39 | |
| 6 | Power Electronics | 1975 | 24 |
| 7 | 2003 | 19 | |
| 8 | 2015 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2018 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2018 | 4 | |
| 15 | 2006 | 3 | |
| 16 | 2024 | 3 | |
| 17 | Reversible Data Hiding Techniques | 2012 | 3 |
| 18 | 2024 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2020 | 1 |
About Vipul Singhal
Vipul Singhal is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Molecular Biology, Geriatrics and Gerontology and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 514 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Wireless Power Transfer Systems (3 papers), Single-cell and spatial transcriptomics (3 papers), Low-power high-performance VLSI design (3 papers), CRISPR and Genetic Engineering (2 papers), Energy Harvesting in Wireless Networks (2 papers) and Innovative Energy Harvesting Technologies (2 papers). The work is most often cited by research in Biophysics (28 citations), Molecular Biology (288 citations), Hardware and Architecture (20 citations), Nuclear Energy and Engineering (1 citation) and Computer Vision and Pattern Recognition (46 citations). Vipul Singhal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Richard Murray, Jongmin Kim, Zachary Z. Sun, Shyam Prabhakar, Debashis Ghosh, Nigel Chou, Melissa K. Takahashi, Julius B. Lucks, Christopher P. Fall and Vincent Noireaux. Their work appears in journals such as Nature Communications, Cell, Nature Reviews Genetics, Nature Genetics and Optical Engineering.
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.