Divya Nandakumar
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Neurology top 10%
Papers in
-
- DNA Repair Mechanisms 5
- RNA and protein synthesis mechanisms 4
- DNA and Nucleic Acid Chemistry 3
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Mitochondrial Function and Pathology 2
- Oncology 2
- Co-authors
- Smita S. Patel (9 shared papers)Britt A. Glaunsinger (3 shared papers)Jessica M. Tucker (1 shared paper)Michael Ly (1 shared paper)Ella Hartenian (1 shared paper)Azra Lari (1 shared paper)Manjula Pandey (3 shared papers)Allan I. Levey (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)PLoS Pathogens (2 papers)Molecular Cell (1 paper)Methods (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Divya Nandakumar
13 papers receiving 938 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 243
- Neurology 62
- Molecular Biology 495
- Biological Psychiatry 16
- Clinical Biochemistry 45
Countries citing papers authored by Divya Nandakumar
This map shows the geographic impact of Divya Nandakumar'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 Divya Nandakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Nandakumar more than expected).
Fields of papers citing papers by Divya Nandakumar
This network shows the impact of papers produced by Divya Nandakumar. 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 Divya Nandakumar. The network helps show where Divya Nandakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Nandakumar, 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 | 2020 | 321 | |
| 2 | 2016 | 310 | |
| 3 | 2016 | 65 | |
| 4 | 2011 | 58 | |
| 5 | 2012 | 53 | |
| 6 | 2018 | 31 | |
| 7 | 2015 | 29 | |
| 8 | 2014 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2022 | 8 | |
| 13 | 2016 | 3 | |
| 14 | 2023 | 0 |
About Divya Nandakumar
Divya Nandakumar is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Surgery, having authored 14 papers that have together received 943 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Epigenetics and DNA Methylation (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Infectious Diseases (243 citations), Neurology (62 citations), Molecular Biology (495 citations), Biological Psychiatry (16 citations) and Clinical Biochemistry (45 citations). Divya Nandakumar has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Smita S. Patel, Britt A. Glaunsinger, Jessica M. Tucker, Michael Ly, Ella Hartenian, Azra Lari, Manjula Pandey, Allan I. Levey, James J. Lah and Eric B. Dammer. Their work appears in journals such as Journal of Biological Chemistry, PLoS Pathogens, Molecular Cell, Methods and Cell Systems.
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.