Jagdeep T. Podichetty

572 total citations
29 papers, 335 citations indexed

About

Jagdeep T. Podichetty is a scholar working on Surgery, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Jagdeep T. Podichetty has authored 29 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Computational Theory and Mathematics and 5 papers in Biomedical Engineering. Recurrent topics in Jagdeep T. Podichetty's work include Computational Drug Discovery Methods (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes Management and Research (4 papers). Jagdeep T. Podichetty is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes Management and Research (4 papers). Jagdeep T. Podichetty collaborates with scholars based in United States, France and Argentina. Jagdeep T. Podichetty's co-authors include Sundararajan V. Madihally, Jackson Burton, Daniela J. Conrado, Sarah Kim, Klaus Romero, Abdurizzagh Khalf, Stephan Schmidt, Joshua D. Brown, Samuel Kim and Mohamed H. Shahin and has published in prestigious journals such as Biotechnology and Bioengineering, Clinical Pharmacology & Therapeutics and American Journal of Transplantation.

In The Last Decade

Jagdeep T. Podichetty

27 papers receiving 325 citations

Peers

Countries citing papers authored by Jagdeep T. Podichetty

Since Specialization

Citations

This map shows the geographic impact of Jagdeep T. Podichetty'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 Jagdeep T. Podichetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagdeep T. Podichetty more than expected).

Fields of papers citing papers by Jagdeep T. Podichetty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jagdeep T. Podichetty. 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 Jagdeep T. Podichetty. The network helps show where Jagdeep T. Podichetty may publish in the future.

Co-authorship network of co-authors of Jagdeep T. Podichetty

This figure shows the co-authorship network connecting the top 25 collaborators of Jagdeep T. Podichetty. A scholar is included among the top collaborators of Jagdeep T. Podichetty 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 Jagdeep T. Podichetty. Jagdeep T. Podichetty 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

#	Work	Indexed citations
1	How AI Transforms Regulatory Submission: Current Clinical Implementation and Future Prospects 2025 ·Clinical and Translational Science ·Jagdeep T. Podichetty, (unknown), (unknown), (unknown), (unknown), Adnan Shahid Khan, (unknown), Hien Q. Huynh, Klaus Romero	0
2	A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications 2025 ·Clinical and Translational Science ·(unknown), (unknown), (unknown), Jagdeep T. Podichetty, Jackson Burton	13
3	AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference 2025 ·Clinical and Translational Science ·Mohamed H. Shahin, Prashant Desai, Nadia Terranova, Yuanfang Guan, Tomáš Helikar, Sebastian Lobentanzer, Qi Liu, James Lu, Subha Madhavan, Gary Mo, Flora T. Musuamba, Jagdeep T. Podichetty, Jie Shen, Lei Xie, (unknown), Cynthia J. Musante	6
4	Real‐world evidence in the cloud: Tutorial on developing an end‐to‐end data and analytics pipeline using Amazon Web Services resources 2024 ·Clinical and Translational Science ·(unknown), (unknown), (unknown), Marco Schito, Ramona Walls, Jagdeep T. Podichetty	1
5	Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool 2024 ·CPT Pharmacometrics & Systems Pharmacology ·(unknown), (unknown), (unknown), Jagdeep T. Podichetty, Jackson Burton, Stephan Schmidt, Klaus Romero, Inish O’Doherty, Frank B. Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim	5
6	Accelerating healthcare innovation: the role of Artificial intelligence and digital health technologies in critical path institute’s public‐private partnerships 2024 ·Clinical and Translational Science ·Jagdeep T. Podichetty, (unknown), (unknown), (unknown), Judith Abrams, (unknown), (unknown), Klaus Romero	2
7	Qualifying a novel clinical trial endpoint (iBOX) predictive of long-term kidney transplant outcomes 2023 ·American Journal of Transplantation ·Amanda Klein, Alexandre Loupy, Mark D. Stegall, Ilkka Helanterä, (unknown), Eric C. Frey, Olivier Aubert, Gillian Divard, Kenneth A. Newell, Herwig‐Ulf Meier‐Kriesche, Roslyn B. Mannon, Thomas Dumortier, Varun Aggarwal, Jagdeep T. Podichetty, Inish O’Doherty, A. Osama Gaber, William E. Fitzsimmons	14
8	Qualifying a Novel Clinical Trial Endpoint (iBOX) Predictive of Long-Term Kidney Transplant Outcomes 2023 ·Transplant International ·Amanda Klein, Alexandre Loupy, Mark D. Stegall, Ilkka Helanterä, (unknown), Eric C. Frey, Olivier Aubert, Gillian Divard, Kenneth A. Newell, Herwig‐Ulf Meier‐Kriesche, Roslyn B. Mannon, Thomas Dumortier, Varun Aggarwal, Jagdeep T. Podichetty, Inish O’Doherty, A. Osama Gaber, William E. Fitzsimmons	8
9	T1dCteGui: A User‐Friendly Clinical Trial Enrichment Tool to Optimize T1D Prevention Studies by Leveraging AI/ML Based Synthetic Patient Population 2023 ·Clinical Pharmacology & Therapeutics ·(unknown), (unknown), (unknown), (unknown), Klaus Romero, Jagdeep T. Podichetty	4
10	Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies 2023 ·CPT Pharmacometrics & Systems Pharmacology ·(unknown), (unknown), Jagdeep T. Podichetty, Jackson Burton, (unknown), Patrick Lang, Stephan Schmidt, Klaus Romero, Inish O’Doherty, Frank B. Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim	11
11	Leveraging Real‐World Data for EMA Qualification of a Model‐Based Biomarker Tool to Optimize Type‐1 Diabetes Prevention Studies 2022 ·Clinical Pharmacology & Therapeutics ·Jagdeep T. Podichetty, Patrick Lang, Inish O’Doherty, (unknown), (unknown), (unknown), (unknown), Klaus Romero, Jackson Burton	5
12	Open Data Revolution in Clinical Research: Opportunities and Challenges 2020 ·Clinical and Translational Science ·Mohamed H. Shahin, Sanchita Bhattacharya, Diego S. Silva, Sarah Kim, Jackson Burton, Jagdeep T. Podichetty, Klaus Romero, Daniela J. Conrado	18
13	Machine Learning in Drug Discovery and Development Part 1: A Primer 2020 ·CPT Pharmacometrics & Systems Pharmacology ·Alan Talevi, (unknown), (unknown), Jagdeep T. Podichetty, Sarah Kim, (unknown), Samuel Kim, Jackson Burton, Joshua D. Brown, Almut G. Winterstein, Stephan Schmidt, (unknown), Daniela J. Conrado	50
14	Pharmacokinetics of Basiliximab for the Prevention of Graft‐versus‐Host Disease in Patients Undergoing Hematopoietic Cell Transplantation with Minimal‐Intensity Cyclophosphamide and Fludarabine 2019 ·Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy ·Jagdeep T. Podichetty, Bryan J. Brinda, Robert P. Nelson, (unknown), K. Nagendra Prasad, Sara K. Quinney, (unknown), Patrick J. Kiel	0
15	The feasibility of genome-scale biological network inference using Graphics Processing Units 2017 ·Algorithms for Molecular Biology ·Thiagarajan Raghuram, Amir Alavi, Jagdeep T. Podichetty, Jason N. Bazil, Daniel Beard	3
16	Multiple approaches to predicting oxygen and glucose consumptions by HepG2 cells on porous scaffolds in an axial‐flow bioreactor 2014 ·Biotechnology and Bioengineering ·Jagdeep T. Podichetty, (unknown), (unknown), Sundararajan V. Madihally	11
17	Modeling Pressure Drop Using Generalized Scaffold Characteristics in an Axial-Flow Bioreactor for Soft Tissue Regeneration 2014 ·Annals of Biomedical Engineering ·Jagdeep T. Podichetty, (unknown), Abdurizzagh Khalf, Sundararajan V. Madihally	19
18	Viscous heating analysis of simulant feces by computational fluid dynamics and experimentation 2013 ·Journal of Water Sanitation and Hygiene for Development ·Jagdeep T. Podichetty, (unknown), (unknown), Gary L. Foutch, (unknown)	6
19	Application of computational fluid dynamics in tissue engineering 2012 ·Journal of Bioscience and Bioengineering ·(unknown), Jagdeep T. Podichetty, Sundararajan V. Madihally	29
20	Dynamics of diffusivity and pressure drop in flow‐through and parallel‐flow bioreactors during tissue regeneration 2012 ·Biotechnology Progress ·Jagdeep T. Podichetty, (unknown), Sundararajan V. Madihally	9

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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