Deepak Parashar
Impact in
-
- Advanced Topics in Algebra
- Emergency Medicine top 10%
- Appendicitis Diagnosis and Management
Papers in
-
- Advanced Topics in Algebra 10
-
- Algebraic structures and combinatorial models 9
- Co-authors
- Ioanna Panagiotopoulou (2 shared papers)B Krijgsman (1 shared paper)Stefan Antonowicz (1 shared paper)KM Taylor (2 shared papers)Matthew Wallis (2 shared papers)Rui Lin (1 shared paper)Simon Bond (2 shared papers)David E. Neal (1 shared paper)
- Journals
- Trials (2 papers)British Journal of Cancer (2 papers)Clinical Radiology (1 paper)Blood (1 paper)Pharmaceutical Statistics (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Deepak Parashar
40 papers receiving 500 citations
Peers
Comparison fields: 5 of 78
- Algebra and Number Theory 41
- Emergency Medicine 51
- Geometry and Topology 44
- Pulmonary and Respiratory Medicine 140
- Cancer Research 49
Countries citing papers authored by Deepak Parashar
This map shows the geographic impact of Deepak Parashar'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 Deepak Parashar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Parashar more than expected).
Fields of papers citing papers by Deepak Parashar
This network shows the impact of papers produced by Deepak Parashar. 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 Deepak Parashar. The network helps show where Deepak Parashar may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Parashar, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 66 | |
| 2 | 2013 | 56 | |
| 3 | 2011 | 55 | |
| 4 | 2012 | 28 | |
| 5 | 2014 | 24 | |
| 6 | 2015 | 20 | |
| 7 | 2019 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2015 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 2025 | 13 | |
| 16 | 2006 | 13 | |
| 17 | 2015 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 1998 | 11 | |
| 20 | 2015 | 10 |
About Deepak Parashar
Deepak Parashar is a scholar working on Algebra and Number Theory, Geometry and Topology, Pulmonary and Respiratory Medicine, Statistical and Nonlinear Physics and Molecular Biology, having authored 42 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (10 papers), Algebraic structures and combinatorial models (9 papers), Nonlinear Waves and Solitons (6 papers), Colorectal Cancer Screening and Detection (4 papers), Statistical Methods in Clinical Trials (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Advanced Algebra and Geometry (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Algebra and Number Theory (41 citations), Emergency Medicine (51 citations), Geometry and Topology (44 citations), Pulmonary and Respiratory Medicine (140 citations) and Cancer Research (49 citations). Deepak Parashar has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Ioanna Panagiotopoulou, B Krijgsman, Stefan Antonowicz, KM Taylor, Matthew Wallis, Rui Lin, Simon Bond, David E. Neal, Tommy Nyberg and Harveer Dev. Their work appears in journals such as Trials, British Journal of Cancer, Clinical Radiology, Blood and Pharmaceutical Statistics.
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.