Sanjay Kalra

17.9k total citations · 3 hit papers
314 papers, 6.2k citations indexed

About

Sanjay Kalra is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Sanjay Kalra has authored 314 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Neurology, 64 papers in Endocrinology, Diabetes and Metabolism and 50 papers in Physiology. Recurrent topics in Sanjay Kalra's work include Amyotrophic Lateral Sclerosis Research (71 papers), Parkinson's Disease Mechanisms and Treatments (31 papers) and Genetic Neurodegenerative Diseases (24 papers). Sanjay Kalra is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (71 papers), Parkinson's Disease Mechanisms and Treatments (31 papers) and Genetic Neurodegenerative Diseases (24 papers). Sanjay Kalra collaborates with scholars based in India, Canada and United States. Sanjay Kalra's co-authors include Wendy Johnston, Douglas L. Arnold, Angela Genge, Donald W. Cockcroft, Rajiv Yeravdekar, C. Shoesmith, Michael J. Strong, Carlayne E. Jackson, Edward J. Kasarskis and Jeffrey Rosenfeld and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Sanjay Kalra

276 papers receiving 5.9k citations

Hit Papers

Practice Parameter update... 2009 2026 2014 2020 2009 2009 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay Kalra India 38 2.2k 1.1k 1.1k 818 786 314 6.2k
Massimiliano Copetti Italy 54 2.7k 1.2× 1.3k 1.1× 627 0.6× 372 0.5× 692 0.9× 309 9.5k
Teresa J. Christianson United States 52 1.7k 0.8× 1.8k 1.5× 407 0.4× 2.6k 3.2× 450 0.6× 128 9.3k
Gregory J. Zipfel United States 47 4.4k 2.0× 1.2k 1.0× 382 0.4× 1.2k 1.4× 537 0.7× 218 8.8k
João Costa Portugal 46 2.2k 1.0× 509 0.4× 413 0.4× 398 0.5× 760 1.0× 247 6.5k
Robert J. Young United States 49 1.2k 0.5× 1.2k 1.1× 2.4k 2.2× 1.5k 1.9× 1.2k 1.5× 232 9.4k
Anthony G Marson United Kingdom 50 722 0.3× 495 0.4× 559 0.5× 489 0.6× 465 0.6× 381 10.1k
Isabelle M. Germano United States 44 1.6k 0.7× 411 0.4× 1.0k 1.0× 567 0.7× 656 0.8× 163 8.0k
Louise M. Burrell Australia 47 896 0.4× 543 0.5× 353 0.3× 822 1.0× 871 1.1× 239 8.3k
Susan C. Fagan United States 52 1.4k 0.7× 758 0.7× 287 0.3× 1.4k 1.7× 487 0.6× 162 9.0k
Ettore Beghi Italy 70 6.6k 3.0× 1.3k 1.1× 2.9k 2.7× 489 0.6× 669 0.9× 415 18.3k

Countries citing papers authored by Sanjay Kalra

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kalra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Kalra

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kalra. A scholar is included among the top collaborators of Sanjay Kalra 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 Sanjay Kalra. Sanjay Kalra 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.
Abrahão, Agessandro, Christian Beaulieu, Michael Benatar, et al.. (2024). Temporal and spatial progression of microstructural cerebral degeneration in ALS: A multicentre longitudinal diffusion tensor imaging study. NeuroImage Clinical. 43. 103633–103633. 5 indexed citations
2.
Ghaderi, Sadegh, et al.. (2024). Volume loss in the left anterior‐superior subunit of the hypothalamus in amyotrophic lateral sclerosis. CNS Neuroscience & Therapeutics. 30(6). e14801–e14801. 7 indexed citations
3.
Kalra, Sanjay, et al.. (2023). Primary Care Screening Tool for Polycystic Ovary Syndrome: Step One in the Battle Against Non-Communicable Disease. Indian Journal of Endocrinology and Metabolism. 27(2). 105–106. 1 indexed citations
4.
Kushol, Rafsanjany, Collin Luk, Michael Benatar, et al.. (2023). SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer. Computerized Medical Imaging and Graphics. 108. 102279–102279. 11 indexed citations
5.
Kalra, Sanjay, et al.. (2023). Sapiotypes and Diabetes Care. 24(2). 7–8.
6.
Chopra, Aditi, et al.. (2023). Teplizumab in Type 1 Diabetes Mellitus: An Updated Review. touchREVIEWS in Endocrinology. 19(2). 7–7. 18 indexed citations
7.
Kalra, Sanjay, Madhur Verma, & Nitin Kapoor. (2023). Commercial determinants of health: A critical component of the obesogenic environment. Clinical Epidemiology and Global Health. 23. 101367–101367. 2 indexed citations
8.
Mejia, Amanda F., Vincent Koppelmans, Laura Jelsone‐Swain, Sanjay Kalra, & Robert C. Welsh. (2022). Longitudinal surface‐based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS. NeuroImage. 255. 119180–119180. 2 indexed citations
9.
Ishaque, Abdullah, Muhammad Haris Khan, Lorne Zinman, et al.. (2021). Distinct patterns of progressive gray and white matter degeneration in amyotrophic lateral sclerosis. Human Brain Mapping. 43(5). 1519–1534. 12 indexed citations
10.
Dadar, Mahsa, Ana L. Manera, Lorne Zinman, et al.. (2020). Cerebral atrophy in amyotrophic lateral sclerosis parallels the pathological distribution of TDP43. Brain Communications. 2(2). fcaa061–fcaa061. 29 indexed citations
11.
Kalra, Sanjay, et al.. (2018). Emotional and psychological needs of people with diabetes. Indian Journal of Endocrinology and Metabolism. 22(5). 696–696. 239 indexed citations
12.
Kalra, Sanjay, et al.. (2018). Lessons for the Health-care Practitioner from Buddhism. Indian Journal of Endocrinology and Metabolism. 22(6). 812–817. 20 indexed citations
13.
Kalra, Sanjay, et al.. (2018). Diabetes Management and the Buddhist Philosophy: Toward Holistic Care. Indian Journal of Endocrinology and Metabolism. 22(6). 806–811. 4 indexed citations
14.
Shrestha, Dina, et al.. (2016). Gestational Diabetes Mellitus—Triage for Preventive Intervention. US Endocrinology. 12(2). 99–99. 1 indexed citations
15.
Hanstock, Chris, et al.. (2010). Degeneration of the Mid-Cingulate Cortex in Amyotrophic Lateral Sclerosis Detected In Vivo with MR Spectroscopy. American Journal of Neuroradiology. 32(2). 403–407. 25 indexed citations
16.
Kalra, Sanjay, et al.. (2009). Colloidal Drug Carriers. 9(2). 3 indexed citations
17.
Agrawal, Navneet, et al.. (2009). Oxidative stress and diabetes. 6(1). 2 indexed citations
18.
Kalra, Sanjay, et al.. (2008). Geriatric Diabetology: An Overview. 5(1). 1 indexed citations
19.
Choi, Changho, Nicholas J. Coupland, Sanjay Kalra, et al.. (2006). T2 measurement and quantification of glutamate in human brain in vivo. Magnetic Resonance in Medicine. 56(5). 971–977. 73 indexed citations
20.
Kalra, Sanjay, et al.. (1989). Bronchial reflexes in patients with leprous and other peripheral neuropathies. The National Medical Journal of India. 2(6). 264–266. 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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