Malidi Ahamadi

1.2k total citations
25 papers, 741 citations indexed

About

Malidi Ahamadi is a scholar working on Oncology, Statistics and Probability and Immunology. According to data from OpenAlex, Malidi Ahamadi has authored 25 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Statistics and Probability and 6 papers in Immunology. Recurrent topics in Malidi Ahamadi's work include Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (6 papers) and Statistical Methods in Clinical Trials (6 papers). Malidi Ahamadi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (6 papers) and Statistical Methods in Clinical Trials (6 papers). Malidi Ahamadi collaborates with scholars based in United States, Sweden and France. Malidi Ahamadi's co-authors include Rik de Greef, Anna Kondic, Tomoko Freshwater, Julie A. Stone, Dinesh de Alwis, Jeroen Elassaiss‐Schaap, JA Stone, Chang Li, Marita Prohn and Sebastian Polak and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Cancer and Journal of Pharmaceutical Sciences.

In The Last Decade

Malidi Ahamadi

22 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malidi Ahamadi United States 13 477 177 148 70 69 25 741
Diane D. Wang United States 14 372 0.8× 126 0.7× 154 1.0× 40 0.6× 191 2.8× 29 825
Anshu Marathe United States 11 203 0.4× 72 0.4× 112 0.8× 59 0.8× 183 2.7× 22 559
Anthe S. Zandvliet Netherlands 18 215 0.5× 185 1.0× 79 0.5× 41 0.6× 230 3.3× 39 976
Scott Fettner United States 12 257 0.5× 72 0.4× 180 1.2× 22 0.3× 136 2.0× 16 570
Kourosh Parivar United States 9 179 0.4× 111 0.6× 63 0.4× 165 2.4× 133 1.9× 21 649
Kirill Peskov Russia 16 218 0.5× 109 0.6× 63 0.4× 39 0.6× 283 4.1× 54 697
Michael Man United States 16 343 0.7× 133 0.8× 84 0.6× 102 1.5× 383 5.6× 23 1.0k
J. O’Shaughnessy United States 9 149 0.3× 136 0.8× 69 0.5× 34 0.5× 183 2.7× 11 512
Anja Henningsson Sweden 8 567 1.2× 45 0.3× 84 0.6× 79 1.1× 197 2.9× 12 889

Countries citing papers authored by Malidi Ahamadi

Since Specialization
Citations

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

Fields of papers citing papers by Malidi Ahamadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malidi Ahamadi

This figure shows the co-authorship network connecting the top 25 collaborators of Malidi Ahamadi. A scholar is included among the top collaborators of Malidi Ahamadi 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 Malidi Ahamadi. Malidi Ahamadi 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.
2.
Mao, Bingyu, et al.. (2025). Evaluating the Impact of AI-Based Model-Informed Drug Development (MIDD): A Comparative Review. The AAPS Journal. 27(4). 102–102.
3.
Galluppi, Gerald R., Malidi Ahamadi, Nageshwar Budha, et al.. (2024). Considerations for Industry—Preparing for the FDA Model‐Informed Drug Development (MIDD) Paired Meeting Program. Clinical Pharmacology & Therapeutics. 116(2). 282–288. 6 indexed citations
4.
Sanghavi, Kinjal, Jakob Ribbing, James A. Rogers, et al.. (2024). Covariate modeling in pharmacometrics: General points for consideration. CPT Pharmacometrics & Systems Pharmacology. 13(5). 710–728. 22 indexed citations
5.
Chen, Po‐Wei, Mats O. Karlsson, Sebastian Ueckert, et al.. (2023). Evaluation of the effect of erenumab on migraine‐specific questionnaire in patients with chronic and episodic migraine. CPT Pharmacometrics & Systems Pharmacology. 12(12). 1988–2000. 2 indexed citations
6.
Chen, Po‐Wei, Ashit Trivedi, Edward Lee, Sandeep Dutta, & Malidi Ahamadi. (2022). Population Pharmacokinetic Properties of Omecamtiv Mecarbil in Healthy Subjects and Patients With Heart Failure With Reduced Ejection Fraction. Journal of Cardiovascular Pharmacology. 79(4). 539–548.
7.
Ahamadi, Malidi, et al.. (2022). Oncolytic viral kinetics mechanistic modeling of Talimogene Laherparepvec (T‐VEC) a first‐in‐class oncolytic viral therapy in patients with advanced melanoma. CPT Pharmacometrics & Systems Pharmacology. 12(2). 250–260. 10 indexed citations
8.
Ueckert, Sebastian, et al.. (2020). Performance of longitudinal item response theory models in shortened or partial assessments. Journal of Pharmacokinetics and Pharmacodynamics. 47(5). 461–471. 10 indexed citations
9.
Santos, Gustavo Mendes Lima, Malidi Ahamadi, Marcos Luciano Bruschi, et al.. (2019). Population pharmacokinetics of orally administrated bromopride: Focus on the absorption process. European Journal of Pharmaceutical Sciences. 142. 105081–105081. 5 indexed citations
10.
Romero, Klaus, Daniela J. Conrado, Jackson Burton, et al.. (2019). Molecular Neuroimaging of the Dopamine Transporter as a Patient Enrichment Biomarker for Clinical Trials for Early Parkinson's Disease. Clinical and Translational Science. 12(3). 240–246. 12 indexed citations
11.
Ahamadi, Malidi, Paul M. Diderichsen, Rik de Greef, et al.. (2019). Operating characteristics of stepwise covariate selection in pharmacometric modeling. Journal of Pharmacokinetics and Pharmacodynamics. 46(3). 273–285. 16 indexed citations
12.
Freshwater, Tomoko, Anna Kondic, Malidi Ahamadi, et al.. (2017). Evaluation of dosing strategy for pembrolizumab for oncology indications. Journal for ImmunoTherapy of Cancer. 5(1). 43–43. 182 indexed citations
13.
Li, Hongshan, Jingyu Yu, Chao Liu, et al.. (2017). Time dependent pharmacokinetics of pembrolizumab in patients with solid tumor and its correlation with best overall response. Journal of Pharmacokinetics and Pharmacodynamics. 44(5). 403–414. 115 indexed citations
14.
Bonate, Peter L., Malidi Ahamadi, Nageshwar Budha, et al.. (2016). Methods and strategies for assessing uncontrolled drug–drug interactions in population pharmacokinetic analyses: results from the International Society of Pharmacometrics (ISOP) Working Group. Journal of Pharmacokinetics and Pharmacodynamics. 43(2). 123–135. 21 indexed citations
15.
Elassaiss‐Schaap, Jeroen, Andreas Lindauer, Alexandre Sostelly, et al.. (2016). Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab-Treated Advanced Melanoma. CPT Pharmacometrics & Systems Pharmacology. 6(1). 29–39. 65 indexed citations
16.
Ahamadi, Malidi, Tomoko Freshwater, Marita Prohn, et al.. (2016). Model-Based Characterization of the Pharmacokinetics of Pembrolizumab: A Humanized Anti-PD-1 Monoclonal Antibody in Advanced Solid Tumors. CPT Pharmacometrics & Systems Pharmacology. 6(1). 49–57. 121 indexed citations
17.
Kang, Soonmo Peter, Manash Chatterjee, Malidi Ahamadi, et al.. (2015). 3344 Relationship between pembrolizumab exposure and efficacy/safety in 1016 patients (pts) with advanced or metastatic melanoma. European Journal of Cancer. 51. S682–S682. 2 indexed citations
18.
Gangadhar, Tara C., Janice M. Mehnert, Amita Patnaik, et al.. (2015). Population pharmacokinetic (popPK) model of pembrolizumab (pembro; MK-3475) in patients (pts) treated in KEYNOTE-001 and KEYNOTE-002.. Journal of Clinical Oncology. 33(15_suppl). 3058–3058. 5 indexed citations
19.
Polak, Sebastian, Cyrus Ghobadi, Himanshu Mishra, et al.. (2012). Prediction of Concentration–Time Profile and its Inter-Individual Variability following the Dermal Drug Absorption. Journal of Pharmaceutical Sciences. 101(7). 2584–2595. 52 indexed citations
20.
Argani, Hassan, et al.. (2003). Taste sense and serum zinc in renal transplantation. Transplantation Proceedings. 35(7). 2722–2723. 2 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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