Udit Parekh
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- 3D Printing in Biomedical Research 2
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- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 2
- Renal and related cancers 2
- vaccines and immunoinformatics approaches 1
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- Energy Harvesting in Wireless Networks 1
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- Cancer Cells and Metastasis 1
- Co-authors
- Prashant MaliDaniella McDonaldTse Nga NgKai-Ping WangVikash GiljaHarinath GarudadriDongxin ZhaoYan Wu
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Udit Parekh
10 papers receiving 264 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 43
- Biomedical Engineering 103
- Molecular Biology 139
- Polymers and Plastics 24
- Aging 3
Countries citing papers authored by Udit Parekh
This map shows the geographic impact of Udit Parekh'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 Udit Parekh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udit Parekh more than expected).
Fields of papers citing papers by Udit Parekh
This network shows the impact of papers produced by Udit Parekh. 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 Udit Parekh. The network helps show where Udit Parekh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Udit Parekh, 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 | 2024 | 3 | |
| 2 | 2021 | 80 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 34 | |
| 8 | 2018 | 27 | |
| 9 | 2017 | 51 | |
| 10 | 2017 | 1 |
About Udit Parekh
Udit Parekh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Automotive Engineering, having authored 10 papers that have together received 272 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (2 papers), Renal and related cancers (2 papers), 3D Printing in Biomedical Research (2 papers), vaccines and immunoinformatics approaches (1 paper), Energy Harvesting in Wireless Networks (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (43 citations), Biomedical Engineering (103 citations) and Molecular Biology (139 citations). Udit Parekh has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Prashant Mali, Daniella McDonald, Tse Nga Ng, Kai-Ping Wang, Vikash Gilja, Harinath Garudadri, Dongxin Zhao, Yan Wu, Kun Zhang and Aditya Kumar. Their work appears in journals such as Cell, Nature Biotechnology and Science Translational Medicine.
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.