Nitika Dabas
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Oncology 4
- Viral-associated cancers and disorders 2
- Cancer Treatment and Pharmacology 1
- Cutaneous Melanoma Detection and Management 1
- HER2/EGFR in Cancer Research 1
- Co-authors
- Jeffrey J. Goldberger (2 shared papers)Raul D. Mitrani (2 shared papers)Amanda Rosenthal (1 shared paper)Nanette H. Bishopric (1 shared paper)Marc E. Lippman (1 shared paper)Naomi Dempsey (1 shared paper)James M. Grichnik (3 shared papers)Mark S. Eller (3 shared papers)
- Journals
- Journal of the American College of Cardiology (5 papers)Journal of Skin Cancer (3 papers)Trends in Cardiovascular Medicine (1 paper)Journal of Interventional Cardiology (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesPanama
In The Last Decade
Nitika Dabas
10 papers receiving 351 citations
Peers
Comparison fields: 5 of 74
- Neurology 122
- Infectious Diseases 124
- Cardiology and Cardiovascular Medicine 116
- Critical Care and Intensive Care Medicine 20
- Oncology 87
Countries citing papers authored by Nitika Dabas
This map shows the geographic impact of Nitika Dabas'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 Nitika Dabas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitika Dabas more than expected).
Fields of papers citing papers by Nitika Dabas
This network shows the impact of papers produced by Nitika Dabas. 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 Nitika Dabas. The network helps show where Nitika Dabas may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitika Dabas, 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 | 188 | |
| 2 | 2021 | 91 | |
| 3 | 2013 | 31 | |
| 4 | 2017 | 22 | |
| 5 | 2012 | 13 | |
| 6 | 2012 | 12 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2019 | 0 | |
| 12 | 2016 | 0 |
About Nitika Dabas
Nitika Dabas is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Molecular Biology, Infectious Diseases and Epidemiology, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (2 papers), Genomics and Chromatin Dynamics (2 papers), Long-Term Effects of COVID-19 (1 paper), Cancer Treatment and Pharmacology (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Melanoma and MAPK Pathways (1 paper), HER2/EGFR in Cancer Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Neurology (122 citations), Infectious Diseases (124 citations), Cardiology and Cardiovascular Medicine (116 citations), Critical Care and Intensive Care Medicine (20 citations) and Oncology (87 citations). Nitika Dabas has collaborated with scholars based in United States and Panama. Frequent co-authors include Jeffrey J. Goldberger, Raul D. Mitrani, Amanda Rosenthal, Nanette H. Bishopric, Marc E. Lippman, Naomi Dempsey, James M. Grichnik, Mark S. Eller, Igor F. Palacios and Rodrigo Mendirichaga. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Skin Cancer, Trends in Cardiovascular Medicine, Journal of Interventional Cardiology and Breast Cancer Research and Treatment.
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.