RAJENDRANATH SELAGAMSETTY

901 total citations
8 papers, 441 citations indexed

About

RAJENDRANATH SELAGAMSETTY is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, RAJENDRANATH SELAGAMSETTY has authored 8 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in RAJENDRANATH SELAGAMSETTY's work include Diabetes Management and Research (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes Treatment and Management (3 papers). RAJENDRANATH SELAGAMSETTY is often cited by papers focused on Diabetes Management and Research (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes Treatment and Management (3 papers). RAJENDRANATH SELAGAMSETTY collaborates with scholars based in United States. RAJENDRANATH SELAGAMSETTY's co-authors include Harold M. Maurer, Satish K. Garg, Edward R. Damiano, Firas H. El-Khatib, Mallory Hillard, Steven J. Russell, COURTNEY A. BALLIRO, Hui Zheng, Laya Ekhlaspour and Kendra L. Magyar and has published in prestigious journals such as Diabetes, The Lancet Diabetes & Endocrinology and Diabetes Obesity and Metabolism.

In The Last Decade

RAJENDRANATH SELAGAMSETTY

8 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
RAJENDRANATH SELAGAMSETTY United States 6 244 186 138 87 50 8 441
Xiaofei Su China 15 395 1.6× 149 0.8× 111 0.8× 167 1.9× 36 0.7× 50 553
Thipaporn Tharavanij Thailand 11 240 1.0× 301 1.6× 181 1.3× 89 1.0× 38 0.8× 31 477
Dan Gao China 12 95 0.4× 89 0.5× 50 0.4× 102 1.2× 93 1.9× 33 411
Guo‐Pei Yu United States 10 105 0.4× 85 0.5× 50 0.4× 99 1.1× 21 0.4× 14 611
Jiecan Zhou China 10 226 0.9× 85 0.5× 46 0.3× 145 1.7× 52 1.0× 34 442
Hao Dai China 12 66 0.3× 80 0.4× 72 0.5× 238 2.7× 63 1.3× 32 492
Ariana Salavert Spain 8 84 0.3× 159 0.9× 128 0.9× 110 1.3× 32 0.6× 9 416
Shuguang Pang China 12 94 0.4× 65 0.3× 38 0.3× 117 1.3× 72 1.4× 31 362
Jennifer Taher Canada 16 213 0.9× 133 0.7× 20 0.1× 174 2.0× 131 2.6× 36 562
María Tinajero Canada 4 119 0.5× 66 0.4× 30 0.2× 116 1.3× 76 1.5× 10 459

Countries citing papers authored by RAJENDRANATH SELAGAMSETTY

Since Specialization
Citations

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

Fields of papers citing papers by RAJENDRANATH SELAGAMSETTY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of RAJENDRANATH SELAGAMSETTY

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

All Works

8 of 8 papers shown
1.
Jafri, Rabab, COURTNEY A. BALLIRO, Firas H. El-Khatib, et al.. (2020). A Three-Way Accuracy Comparison of the Dexcom G5, Abbott Freestyle Libre Pro, and Senseonics Eversense Continuous Glucose Monitoring Devices in a Home-Use Study of Subjects with Type 1 Diabetes. Diabetes Technology & Therapeutics. 22(11). 846–852. 62 indexed citations
2.
3.
Ekhlaspour, Laya, Laura M. Nally, Firas H. El-Khatib, et al.. (2019). Feasibility Studies of an Insulin-Only Bionic Pancreas in a Home-Use Setting. Journal of Diabetes Science and Technology. 13(6). 1001–1007. 7 indexed citations
4.
Jafri, Rabab, COURTNEY A. BALLIRO, Mallory Hillard, et al.. (2019). 77-OR: First Human Study Testing the iLet, a Purpose-Built Bionic Pancreas Platform. Diabetes. 68(Supplement_1). 5 indexed citations
5.
BALLIRO, COURTNEY A., Rabab Jafri, Firas H. El-Khatib, et al.. (2018). Differential Effects of the Insulin-Only and Bihormonal Configurations of the Bionic Pancreas on Mean Glucose and Hypoglycemia during the Daytime and Nighttime. Diabetes. 67(Supplement_1). 3 indexed citations
6.
Jafri, Rabab, COURTNEY A. BALLIRO, Firas H. El-Khatib, et al.. (2018). A Three-Way Accuracy Comparison of the Dexcom G5, Abbott Freestyle Libre Pro, and Senseonics Eversense CGM Devices in an Outpatient Study of Subjects with Type 1 Diabetes. Diabetes. 67(Supplement_1). 16 indexed citations
7.
Russell, Steven J., Mallory Hillard, COURTNEY A. BALLIRO, et al.. (2016). Day and night glycaemic control with a bionic pancreas versus conventional insulin pump therapy in preadolescent children with type 1 diabetes: a randomised crossover trial. The Lancet Diabetes & Endocrinology. 4(3). 233–243. 134 indexed citations
8.
Garg, Satish K., et al.. (2013). Diabetes and cancer: two diseases with obesity as a common risk factor. Diabetes Obesity and Metabolism. 16(2). 97–110. 209 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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