Ankit Rai
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
Papers in
- Cell Biology 17
- Microtubule and mitosis dynamics 16
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- Cancer therapeutics and mechanisms 5
- Ubiquitin and proteasome pathways 5
- 14-3-3 protein interactions 3
- Photosynthetic Processes and Mechanisms 3
- Co-authors
- Dulal Panda (12 shared papers)Rakesh Pathak (4 shared papers)Chebrolu Pulla Rao (4 shared papers)Anna S. Akhmanova (8 shared papers)Michel Olivier Steinmetz (6 shared papers)Vijaya Kumar Hinge (2 shared papers)Avadhesha Surolia (3 shared papers)Andrea Enrico Prota (3 shared papers)
- Journals
- Biochemical Pharmacology (4 papers)Analytical Chemistry (2 papers)Molecular Cell (2 papers)Inorganic Chemistry (2 papers)Small (1 paper)
- Partner nations
- IndiaNetherlandsUnited States
In The Last Decade
Ankit Rai
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Cell Biology 287
- Spectroscopy 225
- Molecular Biology 577
- Oncology 182
- Organic Chemistry 202
Countries citing papers authored by Ankit Rai
This map shows the geographic impact of Ankit Rai'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 Ankit Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Rai more than expected).
Fields of papers citing papers by Ankit Rai
This network shows the impact of papers produced by Ankit Rai. 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 Ankit Rai. The network helps show where Ankit Rai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Rai, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 2012 | 88 | |
| 3 | 2018 | 77 | |
| 4 | 2012 | 71 | |
| 5 | 2010 | 70 | |
| 6 | 2011 | 58 | |
| 7 | 2012 | 48 | |
| 8 | 2013 | 46 | |
| 9 | 2019 | 45 | |
| 10 | 2014 | 39 | |
| 11 | 2014 | 38 | |
| 12 | 2012 | 34 | |
| 13 | 2012 | 33 | |
| 14 | 2017 | 31 | |
| 15 | 2019 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 30 | |
| 18 | 2021 | 25 | |
| 19 | 2021 | 21 | |
| 20 | 2017 | 20 |
About Ankit Rai
Ankit Rai is a scholar working on Cell Biology, Molecular Biology, Oncology, Spectroscopy and Bioengineering, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (16 papers), Cancer therapeutics and mechanisms (5 papers), Ubiquitin and proteasome pathways (5 papers), Luminescence and Fluorescent Materials (4 papers), Molecular Sensors and Ion Detection (4 papers), 14-3-3 protein interactions (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Metal complexes synthesis and properties (2 papers). The work is most often cited by research in Cell Biology (287 citations), Spectroscopy (225 citations), Molecular Biology (577 citations), Oncology (182 citations) and Organic Chemistry (202 citations). Ankit Rai has collaborated with scholars based in India, Netherlands and United States. Frequent co-authors include Dulal Panda, Rakesh Pathak, Chebrolu Pulla Rao, Anna S. Akhmanova, Michel Olivier Steinmetz, Vijaya Kumar Hinge, Avadhesha Surolia, Andrea Enrico Prota, Harish Chandra Joshi and Pradeep Kumar Naik. Their work appears in journals such as Biochemical Pharmacology, Analytical Chemistry, Molecular Cell, Inorganic Chemistry and Small.
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.