Pradeep Vaitla

501 total citations
35 papers, 295 citations indexed

About

Pradeep Vaitla is a scholar working on Transplantation, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Pradeep Vaitla has authored 35 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Transplantation, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Surgery. Recurrent topics in Pradeep Vaitla's work include Renal Transplantation Outcomes and Treatments (14 papers), Renal and Vascular Pathologies (8 papers) and Organ Donation and Transplantation (4 papers). Pradeep Vaitla is often cited by papers focused on Renal Transplantation Outcomes and Treatments (14 papers), Renal and Vascular Pathologies (8 papers) and Organ Donation and Transplantation (4 papers). Pradeep Vaitla collaborates with scholars based in United States, Thailand and United Kingdom. Pradeep Vaitla's co-authors include Wisit Cheungpasitporn, Charat Thongprayoon, Michael A. Mao, Tarun Bathini, Swetha Rani Kanduri, Panupong Hansrivijit, Karthik Kovvuru, Pattharawin Pattharanitima, Juan Medaura and Vishnu Garla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Journal of the American Society of Nephrology.

In The Last Decade

Pradeep Vaitla

30 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradeep Vaitla United States	10	119	62	61	53	51	35	295
Karthik Kovvuru United States	11	83 0.7×	28 0.5×	45 0.7×	20 0.4×	47 0.9×	34	305
Numan Görgülü Türkiye	12	132 1.1×	88 1.4×	29 0.5×	56 1.1×	69 1.4×	26	306
Parminder K. Judge United Kingdom	11	111 0.9×	96 1.5×	123 2.0×	34 0.6×	75 1.5×	22	505
Muhittin Ertilav Türkiye	12	170 1.4×	57 0.9×	77 1.3×	26 0.5×	138 2.7×	24	366
Fouad Fadel France	7	78 0.7×	64 1.0×	39 0.6×	12 0.2×	62 1.2×	12	274
Taher M. Yahya United States	9	167 1.4×	48 0.8×	164 2.7×	45 0.8×	60 1.2×	14	406
Yuta Matsukuma Japan	10	113 0.9×	33 0.5×	35 0.6×	17 0.3×	57 1.1×	42	259
Woo Yeong Park South Korea	9	77 0.6×	100 1.6×	35 0.6×	48 0.9×	99 1.9×	63	290
Amrish Jain United States	10	75 0.6×	23 0.4×	45 0.7×	29 0.5×	117 2.3×	24	318
Julio Pascual Spain	9	60 0.5×	98 1.6×	27 0.4×	31 0.6×	80 1.6×	25	301

Countries citing papers authored by Pradeep Vaitla

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep Vaitla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Vaitla

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

Vijayvargiya, Prakhar, Pradeep Vaitla, J. D. Wynn, et al.. (2025). Analyzing the Donor Dilemma: Outcomes of Kidney Transplant Recipients From Donors With Positive Blood Cultures Obtained at Organ Procurement. Open Forum Infectious Diseases. 12(2). ofae694–ofae694.

Boulware, L. Ebony, Patti L. Ephraim, Tariq Shafi, et al.. (2025). System Interventions to Achieve Early and Equitable Kidney Transplants (STEPS): Protocol for STEPS, a randomized comparative effectiveness clinical trial. Contemporary Clinical Trials. 153. 107911–107911. 1 indexed citations

Kapoor, Sanjana, et al.. (2025). Malakoplakia in kidney transplant recipients: Three case reports. World Journal of Nephrology. 14(2). 100530–100530.

Valencia, Oscar A. Garcia, Charat Thongprayoon, Caroline C. Jadlowiec, et al.. (2024). Evaluating Global and Temporal Trends in Pancreas and Islet Cell Transplantation: Public Awareness and Engagement. SHILAP Revista de lepidopterología. 14(2). 590–601. 3 indexed citations

Vaitla, Pradeep, et al.. (2024). Sodium-glucose Co-transporter-2 Inhibitors Causing Candida tropicalis Fungemia and Renal Abscess. JCEM Case Reports. 2(2). luae010–luae010. 3 indexed citations

Vaitla, Pradeep, et al.. (2024). Malakoplakia in the Transplanted Kidney. Journal of the American Society of Nephrology. 35(10S).

Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 10(4). 25–25. 1 indexed citations

Thongprayoon, Charat, Jing Miao, Caroline C. Jadlowiec, et al.. (2023). Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering. Medicina. 59(5). 977–977. 2 indexed citations

Thongprayoon, Charat, Supawit Tangpanithandee, Caroline C. Jadlowiec, et al.. (2023). Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care. Journal of Personalized Medicine. 13(8). 1273–1273. 1 indexed citations

10.

Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Differences between kidney retransplant recipients as identified by machine learning consensus clustering. Clinical Transplantation. 37(5). e14943–e14943. 2 indexed citations

11.

Anantharachagan, Ariharan, Sook Yin Loh, Siobhan O. Burns, et al.. (2023). Allogeneic hematopoietic stem cell transplantation outcome in oldest known surviving patients with Wiskott-Aldrich syndrome. SHILAP Revista de lepidopterología. 3(1). 100191–100191. 1 indexed citations

12.

Tangpanithandee, Supawit, Charat Thongprayoon, Caroline C. Jadlowiec, et al.. (2022). Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering. Medicina. 58(12). 1831–1831. 2 indexed citations

13.

Thongprayoon, Charat, Yeshwanter Radhakrishnan, Caroline C. Jadlowiec, et al.. (2022). Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering. Journal of Personalized Medicine. 12(12). 1992–1992. 3 indexed citations

14.

Thongprayoon, Charat, Shennen A. Mao, Caroline C. Jadlowiec, et al.. (2022). Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States. Journal of Clinical Medicine. 11(12). 3288–3288. 7 indexed citations

15.

Acharya, Prakrati, Chirag Acharya, Charat Thongprayoon, et al.. (2021). Incidence and Characteristics of Kidney Stones in Patients on Ketogenic Diet: A Systematic Review and Meta-Analysis. SHILAP Revista de lepidopterología. 9(2). 39–39. 39 indexed citations

16.

Thongprayoon, Charat, Panupong Hansrivijit, Michael A. Mao, et al.. (2021). Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia. SHILAP Revista de lepidopterología. 9(3). 54–54. 8 indexed citations

17.

Thongprayoon, Charat, Pradeep Vaitla, Michael A. Mao, et al.. (2021). Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 9(4). 60–60. 7 indexed citations

18.

Boonpheng, Boonphiphop, Panupong Hansrivijit, Charat Thongprayoon, et al.. (2021). Rituximab or plasmapheresis for prevention of recurrent focal segmental glomerulosclerosis after kidney transplantation: A systematic review and meta-analysis. World Journal of Transplantation. 11(7). 303–319. 10 indexed citations

19.

Suarez, Maria Lourdes Gonzalez, Charat Thongprayoon, Panupong Hansrivijit, et al.. (2020). Outcomes of Kidney Transplantation in Fabry Disease: A Meta-Analysis. SHILAP Revista de lepidopterología. 9(1). 2–2. 5 indexed citations

20.

Kanduri, Swetha Rani, Wisit Cheungpasitporn, Charat Thongprayoon, et al.. (2020). Incidence and mortality of acute kidney injury in patients undergoing hematopoietic stem cell transplantation: a systematic review and meta-analysis. QJM. 113(9). 621–632. 29 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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