Shivani Agarwal

2.0k total citations
57 papers, 1.1k citations indexed

About

Shivani Agarwal is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and General Health Professions. According to data from OpenAlex, Shivani Agarwal has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Genetics and 10 papers in General Health Professions. Recurrent topics in Shivani Agarwal's work include Diabetes Management and Research (36 papers), Diabetes and associated disorders (15 papers) and Diabetes Treatment and Management (15 papers). Shivani Agarwal is often cited by papers focused on Diabetes Management and Research (36 papers), Diabetes and associated disorders (15 papers) and Diabetes Treatment and Management (15 papers). Shivani Agarwal collaborates with scholars based in United States, India and Australia. Shivani Agarwal's co-authors include Judith A. Long, Jeffrey S. Gonzalez, Clyde B. Schechter, Osagie Ebekozien, Victoria A. Miller, Alyson K. Myers, Viral N. Shah, Ashby F. Walker, Michael R. Rickels and Alandra Verdejo and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Shivani Agarwal

51 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shivani Agarwal United States 18 877 381 371 192 92 57 1.1k
Janine Sanchez United States 16 535 0.6× 318 0.8× 230 0.6× 135 0.7× 110 1.2× 40 950
Osagie Ebekozien United States 18 836 1.0× 435 1.1× 287 0.8× 187 1.0× 50 0.5× 83 1.1k
Mette Bøgelund Denmark 17 522 0.6× 86 0.2× 124 0.3× 99 0.5× 23 0.3× 46 877
Leah Shepherd United Kingdom 14 152 0.2× 94 0.2× 100 0.3× 48 0.3× 12 0.1× 28 695
Stephanie S. Crossen United States 14 175 0.2× 73 0.2× 39 0.1× 175 0.9× 30 0.3× 24 390
Amal R. Khanolkar United Kingdom 12 112 0.1× 78 0.2× 54 0.1× 65 0.3× 21 0.2× 33 350
Fangqian Ouyang United States 12 135 0.2× 100 0.3× 140 0.4× 48 0.3× 13 0.1× 31 469
Göran Lönnberg Sweden 8 84 0.1× 97 0.3× 88 0.2× 59 0.3× 6 0.1× 10 386
Ewan Donnachie Germany 14 107 0.1× 88 0.2× 78 0.2× 75 0.4× 5 0.1× 35 474

Countries citing papers authored by Shivani Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shivani Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivani Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Agarwal. A scholar is included among the top collaborators of Shivani Agarwal 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 Shivani Agarwal. Shivani Agarwal 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.
Xu, Yong, et al.. (2025). Responsible AI and employee service innovation behavior: A sequential mediation model of AI self-efficacy and AI crafting. Technological Forecasting and Social Change. 224. 124470–124470.
2.
Majidi, Shideh, et al.. (2024). Commentary on the T1D exchange quality improvement collaborative learning session November 2023 abstracts. Journal of Diabetes. 16(6). e13496–e13496. 1 indexed citations
3.
4.
Wang, Christine, John R. Barber, Brynn E. Marks, et al.. (2024). ROUTE-T1D: A behavioral intervention to promote optimal continuous glucose monitor use among racially minoritized youth with type 1 diabetes: Design and development. Contemporary Clinical Trials. 140. 107493–107493. 4 indexed citations
5.
Mathias, Priyanka, Sarah Corathers, Marisa E. Hilliard, et al.. (2023). Young Adults with Type 1 Diabetes. Endocrinology and Metabolism Clinics of North America. 53(1). 39–52. 3 indexed citations
6.
7.
Jones, Nana‐Hawa Yayah, Sarah Corathers, Shivani Agarwal, et al.. (2023). Social Determinants of Health Screening in Type 1 Diabetes Management. Endocrinology and Metabolism Clinics of North America. 53(1). 93–106. 2 indexed citations
8.
Agarwal, Shivani, et al.. (2022). Solutions to Address Inequity in Diabetes Technology Use in Type 1 Diabetes: Results from Multidisciplinary Stakeholder Co-creation Workshops. Diabetes Technology & Therapeutics. 24(6). 381–389. 17 indexed citations
9.
Gregory, John W, Fergus Cameron, Kriti Joshi, et al.. (2022). ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes in adolescence. Pediatric Diabetes. 23(7). 857–871. 47 indexed citations
10.
Aktürk, Halis Kaan, Saketh Rompicherla, Nicole Rioles, et al.. (2022). Factors Associated With Improved A1C Among Adults With Type 1 Diabetes in the United States. Clinical Diabetes. 41(1). 76–80. 13 indexed citations
11.
Agarwal, Shivani, et al.. (2022). Commentary on the T1D exchange quality improvement collaborative learning session November 2022 abstracts. Journal of Diabetes. 14(11). 780–782. 5 indexed citations
12.
13.
Ebekozien, Osagie, Devin Steenkamp, J. Sonya Haw, et al.. (2022). Achieving Equity in Diabetes Research: Borrowing From the Field of Quality Improvement Using a Practical Framework and Improvement Tools. Diabetes Spectrum. 35(3). 304–312. 13 indexed citations
14.
Addala, Ananta, Grace Nelson, Rachel Hopkins, et al.. (2022). Implicit Racial–Ethnic and Insurance-Mediated Bias to Recommending Diabetes Technology: Insights from T1D Exchange Multicenter Pediatric and Adult Diabetes Provider Cohort. Diabetes Technology & Therapeutics. 24(9). 619–627. 74 indexed citations
15.
16.
Davis, Georgia M., Eileen R. Faulds, Tara L. Walker, et al.. (2021). Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept. Diabetes Care. 44(4). 1055–1058. 67 indexed citations
17.
Ebekozien, Osagie, Shideh Majidi, Priya Prahalad, et al.. (2021). Addressing type 1 diabetes health inequities in the United States: Approaches from the T1D Exchange QI Collaborative. Journal of Diabetes. 14(1). 79–82. 23 indexed citations
18.
Agarwal, Shivani, Clyde B. Schechter, Jeffrey S. Gonzalez, & Judith A. Long. (2020). Racial–Ethnic Disparities in Diabetes Technology use Among Young Adults with Type 1 Diabetes. Diabetes Technology & Therapeutics. 23(4). 306–313. 121 indexed citations
19.
O’Malley, Grenye, Osagie Ebekozien, Marisa Desimone, et al.. (2020). COVID-19 Hospitalization in Adults with Type 1 Diabetes: Results from the T1D Exchange Multicenter Surveillance Study. The Journal of Clinical Endocrinology & Metabolism. 106(2). e936–e942. 37 indexed citations
20.
Aggarwal, Monica & Shivani Agarwal. (2017). Analysis of undergraduate pharmacology annual written examination papers at Pt. B. D. Sharma University of Health Sciences Rohtak. National Journal of Physiology Pharmacy and Pharmacology. 1–1. 1 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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