Sejal Mistry

643 total citations
33 papers, 342 citations indexed

About

Sejal Mistry is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cognitive Neuroscience. According to data from OpenAlex, Sejal Mistry has authored 33 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Cognitive Neuroscience. Recurrent topics in Sejal Mistry's work include Single-cell and spatial transcriptomics (6 papers), Autism Spectrum Disorder Research (6 papers) and Diabetes Management and Research (5 papers). Sejal Mistry is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Autism Spectrum Disorder Research (6 papers) and Diabetes Management and Research (5 papers). Sejal Mistry collaborates with scholars based in United States, India and Netherlands. Sejal Mistry's co-authors include Elizabeth B. Torres, Carla Caballero, Farideh Eskandari, Giovanni Cizza, Caroline Whyatt, Pedro E. Martinez, Sara Torvik, James C. Reynolds, Philip W. Gold and György Csákó and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sejal Mistry

32 papers receiving 333 citations

Peers

Sejal Mistry

Lian Beijers Netherlands

Marije van Dalen Netherlands

Xinhua Shen China

Murat Erdem Türkiye

Dominique Piber Germany

Gonglin Hou China

Mincai Qian China

Zhongxia Shen China

Yera Choi South Korea

Kathleen Watson United States

Lian Beijers Netherlands

Sejal Mistry

86 ×0.8

72 ×1.2

32 ×0.7

36 ×0.8

67 ×1.6

Citations per year, relative to Sejal Mistry Sejal Mistry (= 1×) peers Lian Beijers

Countries citing papers authored by Sejal Mistry

Since Specialization

Citations

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

Fields of papers citing papers by Sejal Mistry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejal Mistry

This figure shows the co-authorship network connecting the top 25 collaborators of Sejal Mistry. A scholar is included among the top collaborators of Sejal Mistry 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 Sejal Mistry. Sejal Mistry 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

Roy, Subhasis, et al.. (2024). Investigation of Antibiotic‐Releasing Biodegradable Composite Bone Cements for Treating Experimental Chronic Maxillofacial Bone Infection. Journal of Biomedical Materials Research Part A. 113(1). e37858–e37858. 2 indexed citations

Mistry, Sejal, Ramkiran Gouripeddi, & Julio C. Facelli. (2023). Prioritization of infectious epitopes for translational investigation in type 1 diabetes etiology. Journal of Autoimmunity. 140. 103115–103115. 2 indexed citations

Mistry, Sejal, Ramkiran Gouripeddi, Candace M. Reno, et al.. (2023). Detecting hypoglycemia-induced electrocardiogram changes in a rodent model of type 1 diabetes using shape-based clustering. PLoS ONE. 18(5). e0284622–e0284622. 2 indexed citations

Mistry, Sejal, Ramkiran Gouripeddi, Vandana Raman, & Julio C. Facelli. (2023). Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals. Journal of Biomedical Informatics. 142. 104385–104385. 4 indexed citations

Mistry, Sejal, Ramkiran Gouripeddi, & Julio C. Facelli. (2023). 297 Identifying Opportunities and Challenges for Translational Informatics Approaches to Real-World Data: A Diabetes Case Study. Journal of Clinical and Translational Science. 7(s1). 89–89.

Mistry, Sejal, Ksenia N. Tonyushkina, Lina Huerta‐Saenz, et al.. (2022). A centennial review of discoveries and advances in diabetes: Children and youth. Pediatric Diabetes. 23(7). 926–943. 6 indexed citations

Mistry, Sejal, Ramkiran Gouripeddi, Vandana Raman, & Julio C. Facelli. (2022). Stratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering. Diabetologia. 66(3). 520–534. 5 indexed citations

Mistry, Sejal, Taylor Paglisotti, Daniel R. Lavage, et al.. (2022). Assessing feasibility of an adolescent relationship abuse prevention program for girls. Journal of Adolescence. 94(3). 333–353. 4 indexed citations

Mistry, Sejal, et al.. (2022). Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review. Artificial Intelligence in Medicine. 135. 102461–102461. 6 indexed citations

10.

Raman, Vandana, Anshu Gupta, Ambika P. Ashraf, et al.. (2022). Pharmacologic Weight Management in the Era of Adolescent Obesity. The Journal of Clinical Endocrinology & Metabolism. 107(10). 2716–2728. 8 indexed citations

11.

Torres, Elizabeth B., et al.. (2020). Hidden Aspects of the Research ADOS Are Bound to Affect Autism Science. Neural Computation. 32(3). 515–561. 8 indexed citations

12.

Torres, Elizabeth B., Carla Caballero, & Sejal Mistry. (2020). Aging with Autism Departs Greatly from Typical Aging. Sensors. 20(2). 572–572. 16 indexed citations

13.

Caballero, Carla, Sejal Mistry, & Elizabeth B. Torres. (2020). Age-Dependent Statistical Changes of Involuntary Head Motion Signatures Across Autism and Controls of the ABIDE Repository. Frontiers in Integrative Neuroscience. 14. 23–23. 7 indexed citations

14.

Mistry, Sejal, Shashi Chiplonkar, Vaman Khadilkar, et al.. (2019). Random Blood Glucose Concentrations and their Association with Body Mass Index in Indian School Children. Indian Journal of Endocrinology and Metabolism. 23(5). 529–535. 10 indexed citations

15.

Caballero, Carla, et al.. (2018). Characterization of Noise Signatures of Involuntary Head Motion in the Autism Brain Imaging Data Exchange Repository. Frontiers in Integrative Neuroscience. 12. 7–7. 13 indexed citations

16.

Torres, Elizabeth B., et al.. (2017). How doing a dynamical analysis of gait movement may provide information about Autism. Bulletin of the American Physical Society. 2017. 1 indexed citations

17.

Torres, Elizabeth B., Sejal Mistry, Carla Caballero, & Caroline Whyatt. (2017). Stochastic Signatures of Involuntary Head Micro-movements Can Be Used to Classify Females of ABIDE into Different Subtypes of Neurodevelopmental Disorders. Frontiers in Integrative Neuroscience. 11. 10–10. 17 indexed citations

18.

Torres, Elizabeth B., et al.. (2016). Characterization of the Statistical Signatures of Micro-Movements Underlying Natural Gait Patterns in Children with Phelan McDermid Syndrome: Towards Precision-Phenotyping of Behavior in ASD. Frontiers in Integrative Neuroscience. 10. 22–22. 21 indexed citations

19.

Cizza, Giovanni, Donna Ronsaville, Farideh Eskandari, et al.. (2012). Clinical Subtypes of Depression Are Associated with Specific Metabolic Parameters and Circadian Endocrine Profiles in Women: The Power Study. PLoS ONE. 7(1). e28912–e28912. 66 indexed citations

20.

Eskandari, Farideh, Sejal Mistry, Pedro E. Martinez, et al.. (2005). Younger, premenopausal women with major depressive disorder have more abdominal fat and increased serum levels of prothrombotic factors: implications for greater cardiovascular risk. Metabolism. 54(7). 918–924. 64 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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