Vikas Daggubati
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
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- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Photosynthetic Processes and Mechanisms
Papers in
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- Hedgehog Signaling Pathway Studies 7
- Epigenetics and DNA Methylation 6
- Ubiquitin and proteasome pathways 2
- DNA Repair Mechanisms 1
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- Microtubule and mitosis dynamics 4
- Co-authors
- Kevin M. Clutario (3 shared papers)Bramwell G. Lambrus (3 shared papers)Andrew J. Holland (3 shared papers)Greenfield Sluder (2 shared papers)Yumi Uetake (2 shared papers)Tyler C. Moyer (1 shared paper)Phillip M. Scott (1 shared paper)M Snyder (1 shared paper)
- Journals
- The Journal of Cell Biology (4 papers)Neuro-Oncology (3 papers)Journal of Clinical Investigation (2 papers)Biochemical Pharmacology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Vikas Daggubati
14 papers receiving 532 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 345
- Molecular Biology 409
- Oncology 109
- Genetics 111
- Aging 6
Countries citing papers authored by Vikas Daggubati
This map shows the geographic impact of Vikas Daggubati'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 Vikas Daggubati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Daggubati more than expected).
Fields of papers citing papers by Vikas Daggubati
This network shows the impact of papers produced by Vikas Daggubati. 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 Vikas Daggubati. The network helps show where Vikas Daggubati may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Daggubati, 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 | 2016 | 162 | |
| 2 | 2015 | 159 | |
| 3 | 2015 | 111 | |
| 4 | 2022 | 24 | |
| 5 | 2020 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 1 |
About Vikas Daggubati
Vikas Daggubati is a scholar working on Molecular Biology, Cell Biology, Genetics, Genetics and Plant Science, having authored 14 papers that have together received 538 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), Epigenetics and DNA Methylation (6 papers), Microtubule and mitosis dynamics (4 papers), Glioma Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (2 papers), Chromosomal and Genetic Variations (2 papers), DNA Repair Mechanisms (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cell Biology (345 citations), Molecular Biology (409 citations), Oncology (109 citations), Genetics (111 citations) and Aging (6 citations). Vikas Daggubati has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Kevin M. Clutario, Bramwell G. Lambrus, Andrew J. Holland, Greenfield Sluder, Yumi Uetake, Tyler C. Moyer, Phillip M. Scott, M Snyder, David R. Raleigh and Abrar Choudhury. Their work appears in journals such as The Journal of Cell Biology, Neuro-Oncology, Journal of Clinical Investigation, Biochemical Pharmacology and Cell Reports.
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.