Éric Martin

2.8k total citations
71 papers, 1.8k citations indexed

About

Éric Martin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Éric Martin has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 30 papers in Computational Theory and Mathematics and 10 papers in Hardware and Architecture. Recurrent topics in Éric Martin's work include Computational Drug Discovery Methods (27 papers), Embedded Systems Design Techniques (10 papers) and Chemical Synthesis and Analysis (8 papers). Éric Martin is often cited by papers focused on Computational Drug Discovery Methods (27 papers), Embedded Systems Design Techniques (10 papers) and Chemical Synthesis and Analysis (8 papers). Éric Martin collaborates with scholars based in United States, France and Switzerland. Éric Martin's co-authors include Kenneth B. Wiberg, David C. Spellmeyer, Michael A. Siani, David C. Sullivan, Johanna M. Jansen, Prasenjit Mukherjee, Walter H. Moos, Jeffrey M. Blaney, Alex K. Wong and Dimitris K. Agrafiotis and has published in prestigious journals such as Journal of the American Chemical Society, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Éric Martin

64 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Martin United States 21 1.1k 744 462 270 228 71 1.8k
William R. Pitt United Kingdom 24 1.3k 1.2× 691 0.9× 625 1.4× 145 0.5× 311 1.4× 53 2.4k
Demetri T. Moustakas United States 23 1.3k 1.2× 404 0.5× 509 1.1× 156 0.6× 248 1.1× 28 2.0k
Pieter F. W. Stouten United States 20 1.4k 1.3× 696 0.9× 313 0.7× 166 0.6× 306 1.3× 54 2.1k
Willem P. van Hoorn United Kingdom 18 662 0.6× 623 0.8× 437 0.9× 274 1.0× 213 0.9× 21 1.3k
Fuqiang Ban Canada 28 1.6k 1.4× 1.4k 1.8× 441 1.0× 132 0.5× 459 2.0× 64 3.0k
Paul D. Lyne United States 24 1.7k 1.5× 914 1.2× 631 1.4× 147 0.5× 323 1.4× 66 2.9k
Stefan Senger United Kingdom 15 1.1k 1.0× 969 1.3× 373 0.8× 84 0.3× 307 1.3× 28 1.9k
José S. Duca United States 25 1.1k 1.0× 817 1.1× 380 0.8× 101 0.4× 373 1.6× 56 2.1k
Gianni Chessari United Kingdom 24 2.0k 1.7× 1.2k 1.6× 656 1.4× 214 0.8× 462 2.0× 35 2.9k
Thomas S. Rush United States 24 1.3k 1.2× 701 0.9× 330 0.7× 178 0.7× 536 2.4× 42 2.4k

Countries citing papers authored by Éric Martin

Since Specialization
Citations

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

Fields of papers citing papers by Éric Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Martin. A scholar is included among the top collaborators of Éric Martin 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 Éric Martin. Éric Martin 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.
Frisch, A. S., Éric Martin, So Yeon Kim, et al.. (2025). KRAS mutated NSCLC: past, present, and future directions in a rapidly evolving landscape. The Oncologist. 30(6).
2.
Martin, Éric, et al.. (2023). Polyurethane Culture Substrates Enable Long-Term Neuron Monoculture in a Human in vitro Model of Neurotrauma. SHILAP Revista de lepidopterología. 4(1). 682–692. 1 indexed citations
3.
Godinez, William J., Alexander T. Chao, Peter Skewes-Cox, et al.. (2022). Design of potent antimalarials with generative chemistry. Nature Machine Intelligence. 4(2). 180–186. 31 indexed citations
4.
Bosc, Nicolas, Eloy Félix, Ricardo Arcila, et al.. (2021). MAIP: a web service for predicting blood‐stage malaria inhibitors. Journal of Cheminformatics. 13(1). 13–13. 27 indexed citations
5.
Martin, Éric & Xiang‐Wei Zhu. (2021). Collaborative Profile-QSAR: A Natural Platform for Building Collaborative Models among Competing Companies. Journal of Chemical Information and Modeling. 61(4). 1603–1616. 7 indexed citations
6.
Charlton, Jocelyn, Alexandra L. Mattei, Jing Liao, et al.. (2020). TETs compete with DNMT3 activity in pluripotent cells at thousands of methylated somatic enhancers. Nature Genetics. 52(8). 819–827. 82 indexed citations
7.
Martin, Éric, Valery Polyakov, Xiang‐Wei Zhu, et al.. (2019). All-Assay-Max2 pQSAR: Activity Predictions as Accurate as Four-Concentration IC 50 s for 8558 Novartis Assays. Journal of Chemical Information and Modeling. 59(10). 4450–4459. 41 indexed citations
8.
Martin, Éric & Chris Cundy. (2018). Parallelizing Linear Recurrent Neural Nets Over Sequence Length.. arXiv (Cornell University). 8 indexed citations
9.
Ziller, Michael J., J. Alberto Ortega, Katharina A. Quinlan, et al.. (2018). Dissecting the Functional Consequences of De Novo DNA Methylation Dynamics in Human Motor Neuron Differentiation and Physiology. Cell stem cell. 22(4). 559–574.e9. 52 indexed citations
10.
Daga, Pankaj, Michael B. Bolger, Ian S. Haworth, Robert D. Clark, & Éric Martin. (2018). Physiologically Based Pharmacokinetic Modeling in Lead Optimization. 1. Evaluation and Adaptation of GastroPlus To Predict Bioavailability of Medchem Series. Molecular Pharmaceutics. 15(3). 821–830. 21 indexed citations
11.
Martin, Éric, Stefan Knapp, Richard A. Engh, et al.. (2015). Perspective on computational and structural aspects of kinase discovery from IPK2014. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(10). 1595–1604. 4 indexed citations
12.
Martin, Éric, et al.. (2014). Euclidean chemical spaces from molecular fingerprints: Hamming distance and Hempel’s ravens. Journal of Computer-Aided Molecular Design. 29(5). 387–395. 16 indexed citations
13.
Li, Tian, Prasenjit Mukherjee, & Éric Martin. (2013). Kinase‐Kernel Models: Accurate Chemogenomic Method for the Entire Human Kinome. Molecular Informatics. 32(11-12). 922–928. 1 indexed citations
14.
Mukherjee, Prasenjit & Éric Martin. (2011). Development of a Minimal Kinase Ensemble Receptor (MKER) for Surrogate AutoShim. Journal of Chemical Information and Modeling. 51(10). 2697–2705. 2 indexed citations
15.
Habets, Florence, Simon Gascoin, Dominique Thiéry, et al.. (2009). Multi-model comparison of a major flood in the groundwater-fed basin of the Somme River (France). HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Mathieu, Richard G., et al.. (2005). Calculations of dose distributions using a neural network model. Physics in Medicine and Biology. 50(5). 1019–1028. 13 indexed citations
17.
Jansen, Johanna M. & Éric Martin. (2004). Target-biased scoring approaches and expert systems in structure-based virtual screening. Current Opinion in Chemical Biology. 8(4). 359–364. 43 indexed citations
18.
19.
Martin, Éric, Jeffrey M. Blaney, Michael A. Siani, et al.. (1995). Measuring Diversity: Experimental Design of Combinatorial Libraries for Drug Discovery. Journal of Medicinal Chemistry. 38(9). 1431–1436. 211 indexed citations
20.
Getrajdman, George I., et al.. (1991). Conventional Balloon Angioplasty for Femoropopliteal Artery Occlusions. Seminars in Interventional Radiology. 8(2). 145–154.

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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