Jaymin Upadhyay

2.6k total citations
69 papers, 1.8k citations indexed

About

Jaymin Upadhyay is a scholar working on Cognitive Neuroscience, Physiology and Rheumatology. According to data from OpenAlex, Jaymin Upadhyay has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 25 papers in Physiology and 16 papers in Rheumatology. Recurrent topics in Jaymin Upadhyay's work include Pain Mechanisms and Treatments (17 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Jaymin Upadhyay is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Jaymin Upadhyay collaborates with scholars based in United States, Netherlands and Germany. Jaymin Upadhyay's co-authors include David Borsook, Lino Becerra, Eric H. Chudler, Julie Anderson, Dae‐Shik Kim, Nasim Maleki, Diana J. Wallin, Igor Elman, Mathieu Ducros and Gautam Pendse and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Jaymin Upadhyay

64 papers receiving 1.7k citations

Peers

Jaymin Upadhyay

PHYSI

RNMI

PMH

CMN

Hans‐Georg Buchholz Germany

Pei‐Chi Tu Taiwan

John D. Port United States

Jarkko Johansson Finland

Yazhuo Kong China

Héctor Ortiz Spain

Nasim Maleki United States

Eduard Kraft Germany

Franz Riederer Switzerland

Keigo Shimoji Japan

Hans‐Georg Buchholz Germany

Jaymin Upadhyay

709 ×0.9

312 ×0.7

PHYSI

537 ×1.4

RNMI

459 ×1.7

PMH

590 ×2.2

CMN

Citations per year, relative to Jaymin Upadhyay Jaymin Upadhyay (= 1×) peers Hans‐Georg Buchholz

Countries citing papers authored by Jaymin Upadhyay

Since Specialization

Citations

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

Fields of papers citing papers by Jaymin Upadhyay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaymin Upadhyay

This figure shows the co-authorship network connecting the top 25 collaborators of Jaymin Upadhyay. A scholar is included among the top collaborators of Jaymin Upadhyay 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 Jaymin Upadhyay. Jaymin Upadhyay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Randall, Edin T., S R O'Donnell, Boyu Ren, et al.. (2025). Plasma proteomic markers of pain and emotional dysfunction in fibrous dysplasia/McCune-Albright syndrome. Bone. 201. 117626–117626.

Al‐Hertani, Walla, et al.. (2025). Levacetylleucine (N-acetyl-l-leucine) for Niemann-Pick disease type C. Trends in Pharmacological Sciences. 46(4). 386–387.

Rutkove, Seward B., Alan H. Beggs, Atchayaram Nalini, et al.. (2025). A Multinational Study of Patient and Caregiver‐Reported Insights Into ADSS1 Myopathy. Muscle & Nerve. 72(6). 1265–1272.

Schwandt, Melanie L., Vijay A. Ramchandani, Jaymin Upadhyay, et al.. (2024). Pain in alcohol use disorder: Evaluating effects of childhood trauma, perceived stress, and psychological comorbidity. Alcohol. 117. 43–54. 2 indexed citations

Shah, Nilesh, Laura A. Drubach, C. M. Berry, et al.. (2024). Dissecting the heterogeneity of craniofacial lesions in patients with fibrous dysplasia/McCune–Albright Syndrome. International Journal of Oral and Maxillofacial Surgery. 53(12). 1006–1014. 3 indexed citations

Boyce, Alison M., et al.. (2024). Identifying Pain Subtypes in Patients With Craniofacial Lesions of Fibrous Dysplasia/McCune-Albright Syndrome. Journal of Oral and Maxillofacial Surgery. 83(3). 366–373. 1 indexed citations

Goldman, Maria Helena S., Carter R. Petty, Margaret A. Hojlo, et al.. (2024). Characterization of pain and somatization and its relationship with psychopathology in early onset psychosis. Journal of Psychiatric Research. 179. 77–82. 1 indexed citations

Ebb, David H., et al.. (2023). Pharmacological Interventions Targeting Pain in Fibrous Dysplasia/McCune–Albright Syndrome. International Journal of Molecular Sciences. 24(3). 2550–2550. 15 indexed citations

Ronen, Itamar, et al.. (2023). Implications of Inflammatory Processes on a Developing Central Nervous System in Childhood‐Onset Systemic Lupus Erythematosus. Arthritis & Rheumatology. 76(3). 332–344. 5 indexed citations

10.

Rutkove, Seward B., et al.. (2023). A pilot investigation of muscle integrity in patients with ADSSL1 myopathy using electrical impedance myography. Muscle & Nerve. 68(5). 775–780. 1 indexed citations

11.

Ren, Boyu, Edin T. Randall, Laura A. Drubach, et al.. (2023). Phenotyping Pain in Patients With Fibrous Dysplasia/McCune-Albright Syndrome. The Journal of Clinical Endocrinology & Metabolism. 109(3). 771–782. 7 indexed citations

12.

Goodlett, Benjamin D., Fan Zhang, Adam P. Vogel, et al.. (2023). Characterization of central manifestations in patients with Niemann-Pick disease type C. Genetics in Medicine. 26(3). 101053–101053. 7 indexed citations

13.

Goodlett, Benjamin D., et al.. (2023). The experience of living with Niemann–Pick type C: a patient and caregiver perspective. Orphanet Journal of Rare Diseases. 18(1). 120–120. 3 indexed citations

14.

Drenthen, Gerhard S., Jacobus F.A. Jansen, Walter H. Backes, et al.. (2023). Peripheral Pain Captured Centrally: Altered Brain Morphology on MRI in Small Fiber Neuropathy Patients With and Without an SCN9A Gene Variant. Journal of Pain. 25(3). 730–741. 1 indexed citations

15.

Peng, Ke, et al.. (2021). Suppressed prefrontal cortex oscillations associate with clinical pain in fibrodysplasia ossificans progressiva. Orphanet Journal of Rare Diseases. 16(1). 54–54. 9 indexed citations

16.

Yang, Edward, Frank H. Guenther, Benjamin D. Goodlett, et al.. (2021). Targeting neurological abnormalities in lysosomal storage diseases. Trends in Pharmacological Sciences. 43(6). 495–509. 9 indexed citations

17.

Shah, Nehal, Frank Birklein, Seward B. Rutkove, et al.. (2021). Pain Phenotypes in Rare Musculoskeletal and Neuromuscular Diseases. Neuroscience & Biobehavioral Reviews. 124. 267–290. 28 indexed citations

18.

Gear, Robert W., Lino Becerra, Jaymin Upadhyay, et al.. (2013). Pain Facilitation Brain Regions Activated by Nalbuphine Are Revealed by Pharmacological fMRI. PLoS ONE. 8(1). e50169–e50169. 18 indexed citations

19.

Upadhyay, Jaymin, Julie Anderson, Adam J. Schwarz, et al.. (2011). Imaging Drugs with and without Clinical Analgesic Efficacy. Neuropsychopharmacology. 36(13). 2659–2673. 49 indexed citations

20.

Upadhyay, Jaymin, Tracey A. Knaus, Kristen A. Lindgren, et al.. (2008). Effective and Structural Connectivity in the Human Auditory Cortex. Journal of Neuroscience. 28(13). 3341–3349. 74 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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