Parul Agarwal
Impact in
- Epidemiology top 10%
- Restless Legs Syndrome Research
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Oncology 16
- Pancreatic and Hepatic Oncology Research 5
- Cancer Immunotherapy and Biomarkers 4
- Lung Cancer Research Studies 3
- Epidemiology 11
- Restless Legs Syndrome Research 7
- Neuroendocrine Tumor Research Advances 4
- Co-authors
- Kim E. Innes (7 shared papers)Terry Selfe (7 shared papers)Usha Sambamoorthi (5 shared papers)Dung T. Le (3 shared papers)Sahiti Kandati (3 shared papers)Madhu Mazumdar (1 shared paper)Kenneth E. Rosenzweig (1 shared paper)Meng Ru (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Journal of Clinical Sleep Medicine (2 papers)Population Health Management (1 paper)Blood (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Parul Agarwal
52 papers receiving 768 citations
Peers
Comparison fields: 5 of 100
- Epidemiology 306
- Neurology 106
- Cognitive Neuroscience 125
- Experimental and Cognitive Psychology 77
- Family Practice 5
Countries citing papers authored by Parul Agarwal
This map shows the geographic impact of Parul Agarwal'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 Parul Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parul Agarwal more than expected).
Fields of papers citing papers by Parul Agarwal
This network shows the impact of papers produced by Parul Agarwal. 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 Parul Agarwal. The network helps show where Parul Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Parul Agarwal, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2011 | 105 | |
| 3 | 2018 | 70 | |
| 4 | 2013 | 60 | |
| 5 | 2015 | 36 | |
| 6 | 2012 | 35 | |
| 7 | 2015 | 30 | |
| 8 | 2019 | 27 | |
| 9 | 2023 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2013 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2015 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2016 | 8 |
About Parul Agarwal
Parul Agarwal is a scholar working on Oncology, Epidemiology, Molecular Biology, Neurology and Plant Science, having authored 56 papers that have together received 798 indexed citations. Recurring topics across this work include Restless Legs Syndrome Research (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), Neuroblastoma Research and Treatments (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Emergency and Acute Care Studies (3 papers), Healthcare Policy and Management (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Epidemiology (306 citations), Neurology (106 citations), Cognitive Neuroscience (125 citations), Experimental and Cognitive Psychology (77 citations) and Family Practice (5 citations). Parul Agarwal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Kim E. Innes, Terry Selfe, Usha Sambamoorthi, Dung T. Le, Sahiti Kandati, Madhu Mazumdar, Kenneth E. Rosenzweig, Meng Ru, Ronald D. Ennis and Nisha Ohri. Their work appears in journals such as Journal of Clinical Oncology, Journal of Clinical Sleep Medicine, Population Health Management, Blood and Frontiers in Oncology.
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.