Pascal Girard

3.6k total citations
102 papers, 2.3k citations indexed

About

Pascal Girard is a scholar working on Oncology, Statistics and Probability and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pascal Girard has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 25 papers in Statistics and Probability and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pascal Girard's work include Statistical Methods in Clinical Trials (24 papers), Colorectal Cancer Treatments and Studies (11 papers) and Lung Cancer Treatments and Mutations (10 papers). Pascal Girard is often cited by papers focused on Statistical Methods in Clinical Trials (24 papers), Colorectal Cancer Treatments and Studies (11 papers) and Lung Cancer Treatments and Mutations (10 papers). Pascal Girard collaborates with scholars based in France, Switzerland and United States. Pascal Girard's co-authors include Brigitte Tranchand, Michel Tod, Christian Laveille, Gilles Freyer, Sylvie Chabaud, Nadia Terranova, Helen Kastrissios, Terrence F. Blaschke, Lewis B. Sheiner and Akash Khandelwal and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Pascal Girard

100 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pascal Girard 602 437 366 341 278 102 2.3k
Paolo Vicini 613 1.0× 248 0.6× 1000 2.7× 527 1.5× 165 0.6× 127 3.8k
Athanassios Iliadis 746 1.2× 131 0.3× 468 1.3× 143 0.4× 112 0.4× 90 1.7k
Karin Jorga 388 0.6× 136 0.3× 382 1.0× 115 0.3× 212 0.8× 48 2.0k
Jogarao Gobburu 1.2k 2.0× 537 1.2× 946 2.6× 908 2.7× 645 2.3× 163 5.0k
DR Mould 225 0.4× 225 0.5× 240 0.7× 124 0.4× 202 0.7× 7 1.5k
Juan José Pérez Ruixo 1.6k 2.6× 179 0.4× 1.0k 2.7× 505 1.5× 146 0.5× 148 3.4k
Vikram Sinha 669 1.1× 233 0.5× 469 1.3× 187 0.5× 338 1.2× 76 2.4k
Rajanikanth Madabushi 285 0.5× 277 0.6× 443 1.2× 101 0.3× 244 0.9× 58 1.8k
Jean‐Louis Steimer 407 0.7× 576 1.3× 317 0.9× 98 0.3× 290 1.0× 48 1.9k
Wojciech Krzyżański 354 0.6× 164 0.4× 658 1.8× 128 0.4× 107 0.4× 115 2.1k

Countries citing papers authored by Pascal Girard

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Girard

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Girard. A scholar is included among the top collaborators of Pascal Girard 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 Pascal Girard. Pascal Girard 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.
García-Durán, Alberto, et al.. (2024). Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data. Journal of Pharmacokinetics and Pharmacodynamics. 51(6). 877–885. 3 indexed citations
2.
Courlet, Perrine, Daniel Abler, Monia Guidi, et al.. (2023). Modeling tumor size dynamics based on real‐world electronic health records and image data in advanced melanoma patients receiving immunotherapy. CPT Pharmacometrics & Systems Pharmacology. 12(8). 1170–1181. 7 indexed citations
3.
Terranova, Nadia, Diane R. Mould, Yulia Vugmeyster, et al.. (2023). Tumor growth inhibition modeling in patients with second line biliary tract cancer and first line non‐small cell lung cancer based on bintrafusp alfa trials. CPT Pharmacometrics & Systems Pharmacology. 13(1). 143–153. 4 indexed citations
4.
Krishnan, Sreenath M., Siv Jönsson, Lena E. Friberg, et al.. (2023). A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application to bintrafusp alfa in non‐small cell lung cancer. CPT Pharmacometrics & Systems Pharmacology. 12(11). 1738–1750. 5 indexed citations
5.
Abler, Daniel, Perrine Courlet, Roberto Gatta, et al.. (2023). Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging. JCO Clinical Cancer Informatics. 7(7). e2200126–e2200126. 2 indexed citations
6.
7.
Paik, Paul K., Orestis Papasouliotis, Richard Anziano, et al.. (2020). 584P Tepotinib exposure-response analyses of safety and efficacy in patients with solid tumours. Annals of Oncology. 31. S494–S495. 5 indexed citations
8.
9.
Falchook, Gerald S., Razelle Kurzrock, Hesham M. Amin, et al.. (2019). First-in-Man Phase I Trial of the Selective MET Inhibitor Tepotinib in Patients with Advanced Solid Tumors. Clinical Cancer Research. 26(6). 1237–1246. 67 indexed citations
10.
Saux, Olivia Le, Aurélie Bourmaud, Catherine Rioufol, et al.. (2018). Over-adherence to capecitabine: a potential safety issue in breast and colorectal cancer patients. Cancer Chemotherapy and Pharmacology. 82(2). 319–327. 15 indexed citations
11.
Girard, Pascal, et al.. (2011). Empirical Bayes estimation of random effects of a mixed-effects proportional odds Markov model for ordinal data. Computer Methods and Programs in Biomedicine. 104(3). 505–513. 2 indexed citations
12.
You, Benoît, Helen Boyle, Jean‐Pierre Droz, et al.. (2010). Predictive Value of Modeled AUCAFP-hCG, a Dynamic Kinetic Parameter Characterizing Serum Tumor Marker Decline in Patients With Nonseminomatous Germ Cell Tumor. Urology. 76(2). 423–429.e2. 10 indexed citations
13.
Hénin, Émilie, Michel Tod, V. Trillet-Lenoir, et al.. (2009). Pharmacokinetically Based Estimation of Patient Compliance with Oral Anticancer Chemotherapies. Clinical Pharmacokinetics. 48(6). 359–369. 6 indexed citations
14.
You, Benoît, Pascal Girard, P. Paparel, et al.. (2009). Prognostic value of modeled PSA clearance on biochemical relapse free survival after radical prostatectomy. The Prostate. 69(12). 1325–1333. 12 indexed citations
15.
You, Benoît, Brigitte Tranchand, Pascal Girard, et al.. (2008). Etoposide pharmacokinetics and survival in patients with small cell lung cancer: A multicentre study. Lung Cancer. 62(2). 261–272. 34 indexed citations
16.
Freyer, Gilles, et al.. (2007). Exposure-Effect Population Model of Inolimomab, a Monoclonal Antibody Administered in First-Line Treatment for Acute Graft-Versus-Host Disease. Clinical Pharmacokinetics. 46(5). 417–432. 10 indexed citations
17.
Girard, Pascal, Pascal Girard, Michel Cucherat, et al.. (2004). Simulation des essais cliniques dans le développement des médicaments. Therapies. 59(3). 287–295. 10 indexed citations
18.
Girard, Pascal, Pascal Girard, Michel Cucherat, et al.. (2004). Clinical Trial Simulation in Drug Development. Therapies. 59(3). 297–304. 12 indexed citations
19.
Burtin, P, Évelyne Jacqz-Aigrain, Pascal Girard, et al.. (1994). Population pharmacokinetics of midazolam in neonates. Clinical Pharmacology & Therapeutics. 56(6). 615–625. 113 indexed citations
20.
Durieu, I., Pascal Girard, & Boissel Jp. (1990). Which experimental design for phase I clinical trials? Proposal for an investigational approach. Fundamental and Clinical Pharmacology. 4(S2). 77s–80s. 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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