Deepak Parashar

851 total citations
43 papers, 501 citations indexed

About

Deepak Parashar is a scholar working on Algebra and Number Theory, Geometry and Topology and Molecular Biology. According to data from OpenAlex, Deepak Parashar has authored 43 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Algebra and Number Theory, 9 papers in Geometry and Topology and 8 papers in Molecular Biology. Recurrent topics in Deepak Parashar's work include Advanced Topics in Algebra (10 papers), Algebraic structures and combinatorial models (9 papers) and Nonlinear Waves and Solitons (6 papers). Deepak Parashar is often cited by papers focused on Advanced Topics in Algebra (10 papers), Algebraic structures and combinatorial models (9 papers) and Nonlinear Waves and Solitons (6 papers). Deepak Parashar collaborates with scholars based in United Kingdom, India and United States. Deepak Parashar's co-authors include Ioanna Panagiotopoulou, Stefan Antonowicz, B Krijgsman, Rui Lin, Matthew Wallis, KM Taylor, Simon Bond, Prasanna Sooriakumaran, Kenneth J. Palmer and David E. Neal and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Deepak Parashar

40 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deepak Parashar United Kingdom 14 168 131 98 69 62 43 501
Carl L. Kalbhen United States 10 159 0.9× 171 1.3× 37 0.4× 168 2.4× 135 2.2× 20 486
Kevin Phillips United Kingdom 14 147 0.9× 304 2.3× 66 0.7× 31 0.4× 24 0.4× 32 717
Franco Verde United States 14 122 0.7× 217 1.7× 150 1.5× 85 1.2× 34 0.5× 27 528
Sith Phongkitkarun Thailand 14 150 0.9× 102 0.8× 63 0.6× 311 4.5× 61 1.0× 37 649
Hidefumi Ezawa Japan 9 518 3.1× 63 0.5× 89 0.9× 242 3.5× 54 0.9× 12 719
Anil Tailor United Kingdom 22 52 0.3× 257 2.0× 123 1.3× 64 0.9× 71 1.1× 63 1.3k
Noel J. Aherne Australia 13 195 1.2× 63 0.5× 75 0.8× 92 1.3× 33 0.5× 45 426
Tara A. Morgan United States 15 150 0.9× 208 1.6× 50 0.5× 215 3.1× 29 0.5× 47 823
Mounes Aliyari Ghasabeh United States 17 161 1.0× 192 1.5× 153 1.6× 262 3.8× 24 0.4× 43 726
Andrea Ianniello Italy 12 153 0.9× 195 1.5× 56 0.6× 40 0.6× 32 0.5× 24 379

Countries citing papers authored by Deepak Parashar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Deepak Parashar

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Parashar. A scholar is included among the top collaborators of Deepak Parashar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepak Parashar. Deepak Parashar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chakraborti, Tapabrata, Christopher R. S. Banerji, Robin Mitra, et al.. (2025). Personalized uncertainty quantification in artificial intelligence. Nature Machine Intelligence. 7(4). 522–530. 6 indexed citations
2.
McCoy, Matthew, Chen‐Hsiang Yeang, Stanley Tam, et al.. (2025). Generalized Evolutionary Classifier for Evolutionary Guided Precision Medicine. JCO Precision Oncology. 9(9). e2300714–e2300714. 1 indexed citations
3.
Parashar, Deepak, et al.. (2022). Venous Thromboembolism Rate in Patients With Bladder Cancer According to the Type of Treatment: A Systematic Review. Cureus. 14(3). e22945–e22945. 1 indexed citations
4.
Chen, Han, Daphne Guinn, Deepak Parashar, et al.. (2022). Efficiency of a randomized confirmatory basket trial design constrained to control the family wise error rate by indication. Statistical Methods in Medical Research. 31(7). 1207–1223. 8 indexed citations
5.
Clarke, Aileen, Julia Roscoe, Rebecca Appleton, et al.. (2019). Promoting integrated care in prostate cancer through online prostate cancer-specific holistic needs assessment: a feasibility study in primary care. Supportive Care in Cancer. 28(4). 1817–1827. 19 indexed citations
6.
7.
Nanton, Veronica, Rebecca Appleton, Jeremy Dale, et al.. (2017). Integrated Care in Prostate Cancer (ICARE-P): Nonrandomized Controlled Feasibility Study of Online Holistic Needs Assessment, Linking the Patient and the Health Care Team. JMIR Research Protocols. 6(7). e147–e147. 8 indexed citations
8.
Wadhwa, Karan, Timur H. Kuru, Gabriele Gaziev, et al.. (2016). Transperineal prostate biopsies for diagnosis of prostate cancer are well tolerated: a prospective study using patient-reported outcome measures. Asian Journal of Andrology. 19(1). 62–62. 18 indexed citations
9.
Kuo, Joe Chin‐Hun, Ashraf E.K. Ibrahim, Sarah Dawson, et al.. (2016). Detection of colorectal dysplasia using fluorescently labelled lectins. Scientific Reports. 6(1). 24231–24231. 17 indexed citations
10.
Serrão, Eva, Tristan Barrett, Karan Wadhwa, et al.. (2015). Investigating the ability of multiparametric MRI to exclude significant prostate cancer prior to transperineal biopsy. Canadian Urological Association Journal. 9(11-12). 853–853. 20 indexed citations
11.
Connolly, Stephen S., Helen Stunell, Deepak Parashar, et al.. (2015). Diagnostic accuracy of preoperative computed tomography used alone to detect lymph-node involvement at radical nephrectomy. Scandinavian Journal of Urology. 49(2). 142–148. 8 indexed citations
12.
Mukesh, Mukesh B., Simon Duke, Deepak Parashar, et al.. (2014). The Cambridge post-mastectomy radiotherapy (C-PMRT) index: A practical tool for patient selection. Radiotherapy and Oncology. 110(3). 461–466. 23 indexed citations
13.
Dev, Harveer, Peter Wiklund, Vipul Patel, et al.. (2014). Surgical margin length and location affect recurrence rates after robotic prostatectomy. Urologic Oncology Seminars and Original Investigations. 33(3). 109.e7–109.e13. 66 indexed citations
14.
Parashar, Deepak, et al.. (2013). Semientwining Structures and Their Applications. Warwick Research Archive Portal (University of Warwick). 2013. 1–9. 1 indexed citations
15.
Corrie, Pippa, Charles B. Wilson, Simon Bond, et al.. (2012). A randomised study evaluating the use of pyridoxine to avoid capecitabine dose modifications. British Journal of Cancer. 107(4). 585–587. 27 indexed citations
16.
17.
Marcolli, Matilde & Deepak Parashar. (2011). Quantum groups and noncommutative spaces : perspectives on quantum geometry. CaltechAUTHORS (California Institute of Technology).
18.
Taylor, KM, Sylvia O’Keeffe, P.D. Britton, et al.. (2011). Ultrasound elastography as an adjuvant to conventional ultrasound in the preoperative assessment of axillary lymph nodes in suspected breast cancer: A pilot study. Clinical Radiology. 66(11). 1064–1071. 55 indexed citations
19.
Rimmer, Y., John Chester, Dan Stark, et al.. (2011). Accelerated BEP: a phase I trial of dose-dense BEP for intermediate and poor prognosis metastatic germ cell tumour. British Journal of Cancer. 105(6). 766–772. 11 indexed citations
20.
Parashar, Deepak & Roger McDermott. (2000). Contraction of the Gr,s quantum group to its nonstandard analog and corresponding colored quantum groups. Journal of Mathematical Physics. 41(4). 2403–2416. 2 indexed citations

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.

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