Sandhya Sapra

2.0k total citations · 1 hit paper
56 papers, 1.4k citations indexed

About

Sandhya Sapra is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Sandhya Sapra has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 13 papers in Pathology and Forensic Medicine and 11 papers in Hematology. Recurrent topics in Sandhya Sapra's work include Migraine and Headache Studies (30 papers), Multiple Myeloma Research and Treatments (11 papers) and Trigeminal Neuralgia and Treatments (11 papers). Sandhya Sapra is often cited by papers focused on Migraine and Headache Studies (30 papers), Multiple Myeloma Research and Treatments (11 papers) and Trigeminal Neuralgia and Treatments (11 papers). Sandhya Sapra collaborates with scholars based in United States, United Kingdom and Switzerland. Sandhya Sapra's co-authors include Daniel D. Mikol, Uwe Reuter, Hernàn Picard, Yngve Hallström, Robert Lenz, Feng Zhang, Gregor Broessner, Jo Bonner, Peter J. Goadsby and Stewart J. Tepper and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Sandhya Sapra

54 papers receiving 1.4k citations

Hit Papers

A Controlled Trial of Erenumab for Episodic Migraine 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandhya Sapra United States 15 1.1k 715 401 117 102 56 1.4k
Lisa Bloudek United States 13 1.3k 1.1× 806 1.1× 474 1.2× 178 1.5× 107 1.0× 54 1.6k
Zsolt Hepp United States 13 883 0.8× 589 0.8× 266 0.7× 234 2.0× 64 0.6× 54 1.3k
Pooja Desai United States 17 521 0.5× 275 0.4× 164 0.4× 65 0.6× 40 0.4× 45 823
Mark J. Stillman United States 21 506 0.4× 246 0.3× 263 0.7× 95 0.8× 27 0.3× 52 1.1k
Shashidhar Kori United States 19 654 0.6× 402 0.6× 316 0.8× 246 2.1× 26 0.3× 46 1.1k
Diana Degan Italy 12 491 0.4× 186 0.3× 125 0.3× 83 0.7× 148 1.5× 18 1.1k
Anders Ottosson Sweden 15 279 0.2× 162 0.2× 315 0.8× 98 0.8× 51 0.5× 41 906
Bjørn Sperling Denmark 14 269 0.2× 287 0.4× 117 0.3× 32 0.3× 100 1.0× 34 760
Magdalena Kocot-Kępska Poland 17 163 0.1× 120 0.2× 516 1.3× 187 1.6× 65 0.6× 52 1.4k
I Christiansen Denmark 16 404 0.4× 249 0.3× 248 0.6× 63 0.5× 65 0.6× 46 1.0k

Countries citing papers authored by Sandhya Sapra

Since Specialization
Citations

This map shows the geographic impact of Sandhya Sapra'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 Sandhya Sapra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Sapra more than expected).

Fields of papers citing papers by Sandhya Sapra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandhya Sapra. 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 Sandhya Sapra. The network helps show where Sandhya Sapra may publish in the future.

Co-authorship network of co-authors of Sandhya Sapra

This figure shows the co-authorship network connecting the top 25 collaborators of Sandhya Sapra. A scholar is included among the top collaborators of Sandhya Sapra 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 Sandhya Sapra. Sandhya Sapra 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
2.
Popat, Rakesh, Sagar Lonial, Peter M. Voorhees, et al.. (2023). Patient-Reported Outcomes With Belantamab Mafodotin Treatment in Patients With Triple-Class Refractory Multiple Myeloma. Journal of the Advanced Practitioner in Oncology. 14(6). 503–518. 3 indexed citations
3.
Regnault, Antoine, Boris Gorsh, Randy Davis, et al.. (2023). A toolbox of different approaches to analyze and present PRO-CTCAE data in oncology studies. JNCI Journal of the National Cancer Institute. 115(5). 586–596. 8 indexed citations
4.
Colin, Xavier, Will Sopwith, Shannon Ferrante, et al.. (2022). Assessing the treatment pattern, health care resource utilisation, and economic burden of multiple myeloma in France using the Système National des Données de Santé (SNDS) database: a retrospective cohort study. The European Journal of Health Economics. 24(3). 321–333. 5 indexed citations
6.
Tanna, Gian Luca Di, et al.. (2019). Longitudinal assessment of utilities in patients with migraine: an analysis of erenumab randomized controlled trials. Health and Quality of Life Outcomes. 17(1). 171–171. 7 indexed citations
7.
Lipton, RB, et al.. (2018). Estimating Patient Utility in Migraine: Longitudinal Analysis of Erenumab Clinical Trial Data. Value in Health. 21. S225–S225. 1 indexed citations
8.
Lipton, RB, et al.. (2018). Modeling the Reduction in the Clinical Burden of Migraine with Erenumab Treatment. Value in Health. 21. S206–S206.
9.
Hareendran, Asha, Sally Mannix, Anne Skalicky, et al.. (2017). Development and exploration of the content validity of a patient-reported outcome measure to evaluate the impact of migraine- the migraine physical function impact diary (MPFID). Health and Quality of Life Outcomes. 15(1). 224–224. 31 indexed citations
10.
Goadsby, Peter J., Uwe Reuter, Yngve Hallström, et al.. (2017). A Controlled Trial of Erenumab for Episodic Migraine. New England Journal of Medicine. 377(22). 2123–2132. 631 indexed citations breakdown →
12.
Sapra, Sandhya, et al.. (2016). Development of a Responder Definition for the Migraine Physical Function Impact Diary (MPFID). Value in Health. 19(7). A383–A383. 1 indexed citations
13.
Mutebi, Alex, James Pike, Neel Shah, et al.. (2016). The Use Of Migraine Prophylaxis Treatment: Analysis Of Clinical Practice Data From The United States, Germany, France, And Japan. Value in Health. 19(3). A68–A68. 1 indexed citations
14.
Brennan, Alan, et al.. (2016). Parametric Simulation of Headache Day Frequency Using A Negative Binomial Distribution: A Case Study of Erenumab in Episodic Migraine. Value in Health. 19(7). A361–A361. 4 indexed citations
15.
Ahuja, Anil T., et al.. (2015). Systematic Literature Review of Health State Utility Values In Patients With Migraine. Value in Health. 18(7). A760–A760. 3 indexed citations
16.
Shei, Amie, et al.. (2015). Description of Prophylactic drug utilization Patterns in Migraine Patients. Value in Health. 18(3). A285–A285. 2 indexed citations
17.
Matza, Louis S., Sandhya Sapra, John Dillon, et al.. (2014). Health state utilities associated with attributes of treatments for hepatitis C. The European Journal of Health Economics. 16(9). 1005–1018. 39 indexed citations
18.
Sapra, Sandhya, et al.. (2014). Health State Utilities Associated With Attributes Of Treatments For Hepatitis C. Value in Health. 17(3). A9–A9. 1 indexed citations
19.
Sapra, Sandhya, Eunice Chang, Michael S. Broder, & Gilbert L’Italien. (2014). Incidence and cost of treatment-emergent comorbid events in insured patients with chronic hepatitis C virus infection: a retrospective cohort study. BMC Health Services Research. 14(1). 429–429. 4 indexed citations
20.
Broder, Michael S., et al.. (2009). Adherence and persistence with omalizumab and fluticasone/salmeterol within a managed care population. Allergy and Asthma Proceedings. 30(2). 148–157. 22 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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