Ramkiran Gouripeddi

2.0k total citations
48 papers, 425 citations indexed

About

Ramkiran Gouripeddi is a scholar working on Health, Toxicology and Mutagenesis, Health Information Management and Surgery. According to data from OpenAlex, Ramkiran Gouripeddi has authored 48 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 8 papers in Health Information Management and 6 papers in Surgery. Recurrent topics in Ramkiran Gouripeddi's work include Health, Environment, Cognitive Aging (8 papers), Diabetes Management and Research (6 papers) and Electronic Health Records Systems (6 papers). Ramkiran Gouripeddi is often cited by papers focused on Health, Environment, Cognitive Aging (8 papers), Diabetes Management and Research (6 papers) and Electronic Health Records Systems (6 papers). Ramkiran Gouripeddi collaborates with scholars based in United States, Japan and Taiwan. Ramkiran Gouripeddi's co-authors include Julio C. Facelli, Rajendu Srivastava, Ron Keren, Simon J. Fisher, Danielle Groat, Yu Kuei Lin, Anu Sharma, Man Hung, Michael W. Varner and Owen Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Environmental Health Perspectives.

In The Last Decade

Ramkiran Gouripeddi

40 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramkiran Gouripeddi United States 13 73 71 70 58 56 48 425
Emily Pfaff United States 15 57 0.8× 82 1.2× 105 1.5× 63 1.1× 50 0.9× 50 638
Erica A. Voss United States 11 51 0.7× 76 1.1× 60 0.9× 48 0.8× 75 1.3× 27 500
Shelley A. Rusincovitch United States 9 29 0.4× 104 1.5× 127 1.8× 55 0.9× 95 1.7× 14 451
Ajit Londhe United States 5 63 0.9× 43 0.6× 37 0.5× 26 0.4× 40 0.7× 11 371
Vaishnavi Kannan United States 13 47 0.6× 67 0.9× 101 1.4× 149 2.6× 40 0.7× 40 521
Rupa Makadia United States 7 85 1.2× 123 1.7× 69 1.0× 16 0.3× 62 1.1× 12 598
Yilin Ning Singapore 17 68 0.9× 230 3.2× 89 1.3× 60 1.0× 117 2.1× 58 822
Ljiljana Trtica Majnarić Croatia 14 50 0.7× 80 1.1× 35 0.5× 87 1.5× 139 2.5× 58 538
Tielman Van Vleck United States 12 38 0.5× 134 1.9× 109 1.6× 32 0.6× 115 2.1× 15 497
Min‐Huei Hsu Taiwan 13 60 0.8× 92 1.3× 142 2.0× 28 0.5× 96 1.7× 41 613

Countries citing papers authored by Ramkiran Gouripeddi

Since Specialization
Citations

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

Fields of papers citing papers by Ramkiran Gouripeddi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramkiran Gouripeddi

This figure shows the co-authorship network connecting the top 25 collaborators of Ramkiran Gouripeddi. A scholar is included among the top collaborators of Ramkiran Gouripeddi 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 Ramkiran Gouripeddi. Ramkiran Gouripeddi 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.
Gouripeddi, Ramkiran, et al.. (2025). Air pollution mixtures and stillbirth: k-means cluster analysis. SHILAP Revista de lepidopterología. 16. 100153–100153.
2.
Gouripeddi, Ramkiran, et al.. (2025). Molecular mimicry impact of the COVID-19 pandemic: Sequence homology between SARS-CoV-2 and autoimmune diseases epitopes. PubMed. 18. 100050–100050. 2 indexed citations
3.
Cummins, Mollie, Bob Wong, Neng Wan, et al.. (2024). Travel Distance Between Participants in US Telemedicine Sessions With Estimates of Emissions Savings: Observational Study. Journal of Medical Internet Research. 26. e53437–e53437. 8 indexed citations
4.
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
5.
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
6.
Cambron, Christopher, Ramkiran Gouripeddi, & Julio C. Facelli. (2023). Healthcare Provider Reports on Social Determinants of Health in Opioid Treatment. SHILAP Revista de lepidopterología. 5(1). 60–69. 2 indexed citations
7.
Gouripeddi, Ramkiran, et al.. (2022). K-means cluster analysis of cooperative effects of CO, NO2, O3, PM2.5, PM10, and SO2 on incidence of type 2 diabetes mellitus in the US. Environmental Research. 212(Pt B). 113259–113259. 8 indexed citations
8.
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
9.
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.
Jones, David, Jianyin Shao, Kim Hart, et al.. (2021). Towards a Newborn Screening Common Data Model: The Utah Newborn Screening Data Model. International Journal of Neonatal Screening. 7(4). 70–70. 4 indexed citations
11.
Lin, Yu Kuei, Danielle Groat, Owen Chan, et al.. (2020). Associations Between the Time in Hypoglycemia and Hypoglycemia Awareness Status in Type 1 Diabetes Patients Using Continuous Glucose Monitoring Systems. Diabetes Technology & Therapeutics. 22(11). 787–793. 27 indexed citations
12.
Gouripeddi, Ramkiran, et al.. (2020). A Harmonized Framework to Evaluate Impacts of ECHO Pain and Opioid Training on Patients and Clinicians.. AMIA. 1 indexed citations
13.
Wang, Yulan, et al.. (2020). Human activity pattern implications for modeling SARS-CoV-2 transmission. Computer Methods and Programs in Biomedicine. 199. 105896–105896. 12 indexed citations
14.
Gouripeddi, Ramkiran, et al.. (2019). Towards a content agnostic computable knowledge repository for data quality assessment. Computer Methods and Programs in Biomedicine. 177. 193–201. 19 indexed citations
15.
Lin, Yu Kuei, Danielle Groat, Owen Chan, et al.. (2019). Alarm Settings of Continuous Glucose Monitoring Systems and Associations to Glucose Outcomes in Type 1 Diabetes. Journal of the Endocrine Society. 4(1). bvz005–bvz005. 29 indexed citations
16.
17.
Tiase, Victoria L., et al.. (2018). Advancing Study Metadata Models to Support an Exposomic Informatics Infrastructure. ISEE Conference Abstracts. 2018(1).
18.
Gouripeddi, Ramkiran, et al.. (2017). A Conceptual Representation of Exposome in Translational Research.. AMIA. 2 indexed citations
19.
Gouripeddi, Ramkiran, Julio C. Facelli, Richard L. Bradshaw, et al.. (2013). FURTHeR: An Infrastructure for Clinical, Translational and Comparative Effectiveness Research.. AMIA. 2 indexed citations
20.
Gouripeddi, Ramkiran, et al.. (2009). Support vector machine based conformal predictors for risk of complications following a coronary Drug Eluting Stent procedure. 5–8. 20 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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