Pavan Vaddady

574 total citations
24 papers, 264 citations indexed

About

Pavan Vaddady is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pavan Vaddady has authored 24 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pavan Vaddady's work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Diabetes Management and Research (4 papers) and Diabetes Treatment and Management (4 papers). Pavan Vaddady is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (5 papers), Diabetes Management and Research (4 papers) and Diabetes Treatment and Management (4 papers). Pavan Vaddady collaborates with scholars based in United States, Greece and Ukraine. Pavan Vaddady's co-authors include Bernd Meibohm, Richard Lee, Zhao Wang, Yan Lü, Duane D. Miller, Wěi Li, Chien-Ming Li, Jianjun Chen, James T. Dalton and Sven Stodtmann and has published in prestigious journals such as Cancer Research, Diabetes and Journal of Medicinal Chemistry.

In The Last Decade

Pavan Vaddady

19 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavan Vaddady United States 7 92 86 43 37 37 24 264
Donna Skow United States 8 74 0.8× 139 1.6× 22 0.5× 69 1.9× 35 0.9× 10 269
Dung N. Nguyen United States 10 46 0.5× 126 1.5× 24 0.6× 46 1.2× 37 1.0× 25 293
Zhili Zhang China 11 225 2.4× 164 1.9× 46 1.1× 28 0.8× 42 1.1× 40 391
Cameron Stuver Moody United States 10 100 1.1× 200 2.3× 26 0.6× 38 1.0× 44 1.2× 11 294
Sridhar Veeraraghavan India 11 84 0.9× 127 1.5× 26 0.6× 40 1.1× 39 1.1× 27 345
Robert Guttendorf United States 11 30 0.3× 140 1.6× 84 2.0× 32 0.9× 40 1.1× 27 353
Cliff C. Cheng United States 10 74 0.8× 204 2.4× 26 0.6× 27 0.7× 24 0.6× 13 304
May H. Abdel Aziz United States 11 77 0.8× 99 1.2× 35 0.8× 17 0.5× 18 0.5× 20 335
Halesha D. Basavarajappa United States 9 70 0.8× 229 2.7× 39 0.9× 21 0.6× 49 1.3× 14 354
Pavel Bárta Czechia 10 69 0.8× 139 1.6× 12 0.3× 101 2.7× 23 0.6× 43 357

Countries citing papers authored by Pavan Vaddady

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Vaddady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavan Vaddady

This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Vaddady. A scholar is included among the top collaborators of Pavan Vaddady 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 Pavan Vaddady. Pavan Vaddady 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.
Xu, Yuan, Mark Lee, Xiaoning Wang, et al.. (2025). Integrated Two-Analyte Population Pharmacokinetics Model of Patritumab Deruxtecan (HER3-DXd) Monotherapy in Patients with Solid Tumors. Clinical Pharmacokinetics. 64(6). 943–957. 1 indexed citations
2.
Vaddady, Pavan, et al.. (2024). Concentration‐QTcF analysis of quizartinib in patients with newly diagnosed FLT3‐internal‐tandem‐duplication‐positive acute myeloid leukemia. Clinical and Translational Science. 17(11). e70065–e70065. 1 indexed citations
4.
Vaddady, Pavan, et al.. (2024). Within‐chain parallelization—Giving Stan Jet Fuel for population modeling in pharmacometrics. CPT Pharmacometrics & Systems Pharmacology. 14(1). 52–67.
5.
Bradley, John S., Camilla Tøndel, Emmanuel Roilides, et al.. (2023). Pharmacokinetics, Safety, and Tolerability of Imipenem/Cilastatin/Relebactam in Children with Confirmed or Suspected Gram‐Negative Bacterial Infections: A Phase 1b, Open‐Label, Single‐Dose Clinical Trial. The Journal of Clinical Pharmacology. 63(12). 1387–1397. 6 indexed citations
6.
Hong, Ying, Naoyuki Tajima, Kashyap Patel, et al.. (2023). Application of the model‐informed drug development paradigm to datopotamab deruxtecan dose selection for late‐stage development. CPT Pharmacometrics & Systems Pharmacology. 13(1). 23–28. 3 indexed citations
7.
Terranova, Nadia, Didier Renard, Mohamed H. Shahin, et al.. (2023). Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices. Clinical Pharmacology & Therapeutics. 115(4). 658–672. 40 indexed citations
8.
Sun, Li, Yang Xu, Melanie Anderson, et al.. (2022). Incorporating protein precipitation to resolve hybrid IP-LC-MS assay interference for ultrasensitive quantification of intact therapeutic insulin dimer in human plasma. Journal of Pharmaceutical and Biomedical Analysis. 212. 114639–114639. 1 indexed citations
9.
Walford, Geoffrey, Kelly Duncan, Pavan Vaddady, et al.. (2022). A Randomized, Single Ascending Dose Study to Assess the Safety, Tolerability, Pharmacokinetics, and Pharmacodynamics of a Novel Insulin Dimer. Clinical Pharmacology & Therapeutics. 112(1). 125–132.
10.
Bradley, John S., Camilla Tøndel, Emmanuel Roilides, et al.. (2021). 1159. Pharmacokinetics, Safety, and Tolerability of Imipenem/Cilastatin/Relebactam in Pediatric Participants With Confirmed or Suspected Gram-negative Bacterial Infections: A Phase 1b, Open-label, Single-Dose Clinical Trial. Open Forum Infectious Diseases. 8(Supplement_1). S671–S671. 3 indexed citations
11.
Jacobs, Conrad, Bernardo L. Rapoport, Graham Cohen, et al.. (2021). Abstract CT143: Pembrolizumab bioavailability after subcutaneous administration: analysis from the KEYNOTE-555 Cohort A in metastatic melanoma. Cancer Research. 81(13_Supplement). CT143–CT143. 8 indexed citations
13.
Greaves, Wayne, et al.. (2019). Doravirine Exposure and HIV-1 Suppression after Switching from an Efavirenz-Based Regimen to Doravirine-Lamivudine-Tenofovir Disoproxil Fumarate. Antimicrobial Agents and Chemotherapy. 63(12). 3 indexed citations
14.
Vaddady, Pavan, Ashit Trivedi, Chetan Rathi, et al.. (2018). Dynamic time-kill curve characterization of spectinamide antibiotics 1445 and 1599 for the treatment of tuberculosis. European Journal of Pharmaceutical Sciences. 127. 233–239. 9 indexed citations
15.
Feng, Hwa-ping, Zifang Guo, Luzelena Caro, et al.. (2018). No Pharmacokinetic Interactions Between Elbasvir or Grazoprevir and Buprenorphine/Naloxone in Healthy Participants and Participants Receiving Stable Opioid Agonist Therapy. Clinical and Translational Science. 11(6). 562–572. 3 indexed citations
16.
Feng, Hwa-ping, Zifang Guo, Luzelena Caro, et al.. (2018). No Pharmacokinetic Interactions Between Elbasvir or Grazoprevir and Methadone in Participants Receiving Maintenance Opioid Agonist Therapy. Clinical and Translational Science. 11(6). 553–561. 5 indexed citations
17.
Vaddady, Pavan, et al.. (2017). No Pharmacokinetic Interaction Between the Hepatitis C Virus Inhibitors Elbasvir/Grazoprevir and Famotidine or Pantoprazole. Clinical and Translational Science. 10(5). 360–365. 9 indexed citations
18.
Vaddady, Pavan, Nitin Mehrotra, Xiaofeng Zhang, et al.. (2010). Pharmacokinetics of a combination of Δ9‐Tetrahydro‐cannabinol and celecoxib in a porcine model of hemorrhagic shock. Biopharmaceutics & Drug Disposition. 32(2). 89–98. 2 indexed citations
19.
Vaddady, Pavan, Richard Lee, & Bernd Meibohm. (2010). In Vitro Pharmacokinetic/Pharmacodynamic Models in Anti-Infective Drug Development: Focus on TB. Future Medicinal Chemistry. 2(8). 1355–1369. 41 indexed citations
20.
Chen, Jianjun, Zhao Wang, Chien-Ming Li, et al.. (2010). Discovery of Novel 2-Aryl-4-benzoyl-imidazoles Targeting the Colchicines Binding Site in Tubulin As Potential Anticancer Agents. Journal of Medicinal Chemistry. 53(20). 7414–7427. 107 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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