Tejas Desai

1.1k total citations
30 papers, 760 citations indexed

About

Tejas Desai is a scholar working on Health, General Health Professions and Gender Studies. According to data from OpenAlex, Tejas Desai has authored 30 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, 13 papers in General Health Professions and 6 papers in Gender Studies. Recurrent topics in Tejas Desai's work include Social Media in Health Education (13 papers), Health Literacy and Information Accessibility (10 papers) and Diversity and Career in Medicine (6 papers). Tejas Desai is often cited by papers focused on Social Media in Health Education (13 papers), Health Literacy and Information Accessibility (10 papers) and Diversity and Career in Medicine (6 papers). Tejas Desai collaborates with scholars based in United States, United Kingdom and Canada. Tejas Desai's co-authors include Afreen Shariff, Deeba Minhas, María Ferris, Xiangming Fang, Cynthia Christiano, Aabid Shariff, Kenar D. Jhaveri, Michael A. Thompson, Ruben A. Mesa and Naveen Pemmaraju and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Tejas Desai

28 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tejas Desai United States 12 394 318 110 106 75 30 760
Joel Michels Topf United States 16 222 0.6× 255 0.8× 14 0.1× 100 0.9× 46 0.6× 29 898
Carolyn Snider Canada 13 158 0.4× 247 0.8× 46 0.4× 112 1.1× 129 1.7× 39 662
Viren Kaul United States 12 98 0.2× 68 0.2× 31 0.3× 100 0.9× 30 0.4× 48 445
Eve Purdy Australia 14 240 0.6× 159 0.5× 16 0.1× 187 1.8× 22 0.3× 32 583
Dale Storie Canada 10 194 0.5× 107 0.3× 11 0.1× 74 0.7× 32 0.4× 22 597
Stephanie R. Morain United States 17 306 0.8× 148 0.5× 34 0.3× 331 3.1× 89 1.2× 77 897
Peggy B. Leung United States 8 222 0.6× 177 0.6× 27 0.2× 61 0.6× 53 0.7× 17 409
Maziar Abdolrasulnia United States 13 303 0.8× 192 0.6× 11 0.1× 162 1.5× 186 2.5× 21 903
Marissa A. Boeck United States 11 85 0.2× 122 0.4× 45 0.4× 94 0.9× 32 0.4× 31 313
Daniel A. González‐Padilla Spain 13 68 0.2× 66 0.2× 26 0.2× 25 0.2× 160 2.1× 50 894

Countries citing papers authored by Tejas Desai

Since Specialization
Citations

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

Fields of papers citing papers by Tejas Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejas Desai

This figure shows the co-authorship network connecting the top 25 collaborators of Tejas Desai. A scholar is included among the top collaborators of Tejas Desai 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 Tejas Desai. Tejas Desai 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.
Wen, Huei Hsun, et al.. (2025). The High Correlation Between Survey Assessments for Chronic Kidney Disease-Associated Pruritus, and Its Associations with Clinical Outcomes. SHILAP Revista de lepidopterología. 5(2). 14–14. 1 indexed citations
2.
Desai, Tejas, et al.. (2023). Automatic Music Generation. International Journal for Research in Applied Science and Engineering Technology. 11(11). 1945–1950. 1 indexed citations
3.
Sieberg, Christine B., et al.. (2021). Gender interactions on Twitter and medical education: how is nephrology doing?. Nephrology Dialysis Transplantation. 37(5). 923–927. 2 indexed citations
4.
Desai, Tejas, Sivakumar Sridharan, Xavier Vela Parada, et al.. (2018). Exploring the uncharted territory of social media: the next frontier of medical education in nephrology. Clinical Kidney Journal. 11(2). 156–161. 7 indexed citations
5.
Desai, Tejas, et al.. (2016). Equal work for unequal pay: the gender reimbursement gap for healthcare providers in the United States. Postgraduate Medical Journal. 92(1092). 571–575. 56 indexed citations
6.
Alhalabi, Omar, et al.. (2016). Clostridium septicumarthritis and aortitis in a patient with underlying colon cancer. QJM. 109(7). 481–482. 3 indexed citations
7.
Desai, Tejas, Afreen Shariff, Aabid Shariff, et al.. (2016). Quantifying the Twitter Influence of Third Party Commercial Entities versus Healthcare Providers in Thirteen Medical Conferences from 2011 – 2013. PLoS ONE. 11(9). e0162376–e0162376. 13 indexed citations
8.
Ferris, María, E.A. Ba, John D. Mahan, et al.. (2014). Wanted: pediatric nephrologists! — why trainees are not choosing pediatric nephrology. Renal Failure. 36(8). 1340–1344. 15 indexed citations
9.
Desai, Tejas, et al.. (2013). Is Content Really King? An Objective Analysis of the Public's Response to Medical Videos on YouTube. PLoS ONE. 8(12). e82469–e82469. 271 indexed citations
10.
Desai, Tejas, et al.. (2013). Methanol Poisoning. JAMA Ophthalmology. 131(3). 358–358. 47 indexed citations
11.
Jhaveri, Kenar D., Matthew A. Sparks, Hitesh H. Shah, et al.. (2013). Why Not Nephrology? A Survey of US Internal Medicine Subspecialty Fellows. American Journal of Kidney Diseases. 61(4). 540–546. 92 indexed citations
12.
Shariff, Afreen, Xiangming Fang, & Tejas Desai. (2013). Using Social Media to Create a Professional Network Between Physician-Trainees and the American Society of Nephrology. Advances in Chronic Kidney Disease. 20(4). 357–363. 4 indexed citations
13.
Madanick, Ryan D., et al.. (2013). Mo1079 Twitter Use As a Platform for Rapid Dissemination of Informative Content From Digestive Disease Week Is Increasing. Gastroenterology. 144(5). S–571. 1 indexed citations
14.
Desai, Tejas, et al.. (2012). Assessing a nephrology-focused YouTube channel’s potential to educate health care providers. Journal of Nephrology. 26(1). 81–85. 19 indexed citations
15.
Desai, Tejas, Afreen Shariff, Aabid Shariff, et al.. (2012). Tweeting the Meeting: An In-Depth Analysis of Twitter Activity at Kidney Week 2011. PLoS ONE. 7(7). e40253–e40253. 94 indexed citations
16.
Desai, Tejas, Cynthia Christiano, & María Ferris. (2011). Understanding the mobile internet to develop the next generation of online medical teaching tools. Journal of the American Medical Informatics Association. 18(6). 875–878. 7 indexed citations
17.
Desai, Tejas, et al.. (2011). Web-Based Nephropathology Teaching Modules and User Satisfaction: The Nephrology On-Demand Experience. Renal Failure. 33(10). 1046–1048. 6 indexed citations
18.
Desai, Tejas, Cynthia Christiano, María Ferris, & Tushar J. Vachharajani. (2011). Nephrology “e” Learning Made “e” asier. 4(1). 12–15. 2 indexed citations
19.
Sethi, Sidharth Kumar, Tejas Desai, & Kenar D. Jhaveri. (2010). Online blogging during conferences: an innovative way of e-learning. Kidney International. 78(12). 1199–1201. 12 indexed citations
20.
Desai, Tejas, et al.. (2010). Nephrology fellows show consistent use of, and improved knowledge from, a nephrologist-programmed teaching instrument. Journal of Nephrology. 24(3). 345–350. 9 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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