Michael J. Bodkin

6.2k total citations
26 papers, 990 citations indexed

About

Michael J. Bodkin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Michael J. Bodkin has authored 26 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 6 papers in Materials Chemistry. Recurrent topics in Michael J. Bodkin's work include Computational Drug Discovery Methods (18 papers), Protein Structure and Dynamics (8 papers) and Machine Learning in Materials Science (6 papers). Michael J. Bodkin is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Protein Structure and Dynamics (8 papers) and Machine Learning in Materials Science (6 papers). Michael J. Bodkin collaborates with scholars based in United Kingdom, United States and Germany. Michael J. Bodkin's co-authors include Matteo Aldeghi, Philip C. Biggin, Stefan Knapp, Alexander Heifetz, Valerie J. Gillet, Beining Chen, David A. Evans, K.F. Law, Jaishree Jagirdar and David A. Thorner and has published in prestigious journals such as Journal of the American Chemical Society, Bioinformatics and The Journal of Physical Chemistry B.

In The Last Decade

Michael J. Bodkin

26 papers receiving 974 citations

Peers

Michael J. Bodkin

CTM

John D. Bickel United States

Irene Nobeli United Kingdom

Scott R. Brozell United States

Xin‐Qiu Yao United States

Lidio Meireles United States

Kenneth Borrelli United States

Ruxi Qi China

Alfonso T. García‐Sosa Estonia

A. Douangamath United Kingdom

Lazaros Mavridis United Kingdom

John D. Bickel United States

Michael J. Bodkin

1.0k ×1.5

217 ×0.5

CTM

225 ×1.1

97 ×0.8

121 ×1.4

Citations per year, relative to Michael J. Bodkin Michael J. Bodkin (= 1×) peers John D. Bickel

Countries citing papers authored by Michael J. Bodkin

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Bodkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Bodkin. 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 Michael J. Bodkin. The network helps show where Michael J. Bodkin may publish in the future.

Co-authorship network of co-authors of Michael J. Bodkin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Bodkin. A scholar is included among the top collaborators of Michael J. Bodkin 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 Michael J. Bodkin. Michael J. Bodkin 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

Bodkin, Michael J., Albert Galera‐Prat, Annalaura Brai, et al.. (2024). Synthetically accessible de novo design using reaction vectors: Application to PARP1 inhibitors**. Molecular Informatics. 43(4). e202300183–e202300183. 5 indexed citations

Wilson, Caroline, Mark Gardner, David W. Gray, et al.. (2023). Design of the Global Health chemical diversity library v2 for screening against infectious diseases. PLoS neglected tropical diseases. 17(12). e0011799–e0011799. 3 indexed citations

Monteleone, Stefania, Dmitri G. Fedorov, Andrea Townsend‐Nicholson, et al.. (2022). Hotspot Identification and Drug Design of Protein–Protein Interaction Modulators Using the Fragment Molecular Orbital Method. Journal of Chemical Information and Modeling. 62(16). 3784–3799. 24 indexed citations

Monteleone, Stefania, Tahsin F. Kellici, Michelle Southey, Michael J. Bodkin, & Alexander Heifetz. (2021). Fighting COVID-19 with Artificial Intelligence. Methods in molecular biology. 2390. 103–112. 11 indexed citations

Kellici, Tahsin F., et al.. (2020). Small-molecule modulators of serine protease inhibitor proteins (serpins). Drug Discovery Today. 26(2). 442–454. 17 indexed citations

Bodkin, Michael J., et al.. (2020). Enhancing reaction-based de novo design using a multi-label reaction class recommender. Journal of Computer-Aided Molecular Design. 34(7). 783–803. 11 indexed citations

Aldeghi, Matteo, Gregory A. Ross, Michael J. Bodkin, et al.. (2018). Large-scale analysis of water stability in bromodomain binding pockets with grand canonical Monte Carlo. Communications Chemistry. 1(1). 47 indexed citations

Aldeghi, Matteo, Michael J. Bodkin, Stefan Knapp, & Philip C. Biggin. (2017). Statistical Analysis on the Performance of Molecular Mechanics Poisson–Boltzmann Surface Area versus Absolute Binding Free Energy Calculations: Bromodomains as a Case Study. Journal of Chemical Information and Modeling. 57(9). 2203–2221. 106 indexed citations

Southey, Michelle, Michael P. Mazanetz, Alexander Heifetz, et al.. (2016). Assessment of Hydration Thermodynamics at Protein Interfaces with Grid Cell Theory. The Journal of Physical Chemistry B. 120(40). 10442–10452. 13 indexed citations

10.

Stefaniak, Filip, Ewa I. Chudyk, Michael J. Bodkin, Wayne Dawson, & Janusz M. Bujnicki. (2015). Modeling of ribonucleic acid–ligand interactions. Wiley Interdisciplinary Reviews Computational Molecular Science. 5(6). 425–439. 12 indexed citations

11.

Aldeghi, Matteo, Alexander Heifetz, Michael J. Bodkin, Stefan Knapp, & Philip C. Biggin. (2015). Accurate calculation of the absolute free energy of binding for drug molecules. Chemical Science. 7(1). 207–218. 255 indexed citations

12.

Kasim, Adetayo, Sonia Liggi, Suzanne Brewerton, et al.. (2014). Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis. Molecular BioSystems. 11(1). 86–96. 21 indexed citations

13.

Liggi, Sonia, Suzanne Brewerton, Grant N. Wheeler, et al.. (2013). Extensions to In Silico Bioactivity Predictions Using Pathway Annotations and Differential Pharmacology Analysis: Application to Xenopus laevis Phenotypic Readouts. Molecular Informatics. 32(11-12). 1009–1024. 10 indexed citations

14.

Bodkin, Michael J.. (2012). Why Don’t We See A Greater Uptake Of Computational Chemistry Approaches By The Medicinal Chemistry Community?. Future Medicinal Chemistry. 4(15). 1889–1891. 3 indexed citations

15.

Fechner, Nikolas, George Papadatos, David Evans, et al.. (2012). ChEMBLSpace—a graphical explorer of the chemogenomic space covered by the ChEMBL database. Bioinformatics. 29(4). 523–524. 9 indexed citations

16.

Bodkin, Michael J., et al.. (2012). ChemInform Abstract: Validation of Reaction Vectors for de novo Design. ChemInform. 43(50). 2 indexed citations

17.

Bodkin, Michael J., et al.. (2009). Knowledge-Based Approach to de Novo Design Using Reaction Vectors. Journal of Chemical Information and Modeling. 49(5). 1163–1184. 57 indexed citations

18.

Evans, David A., Thompson N. Doman, David A. Thorner, & Michael J. Bodkin. (2007). 3D QSAR Methods: Phase and Catalyst Compared. Journal of Chemical Information and Modeling. 47(3). 1248–1257. 61 indexed citations

19.

Law, K.F., Jaishree Jagirdar, Michael D. Weiden, Michael J. Bodkin, & William N. Rom. (1996). Tuberculosis in HIV-Positive Patients: Cellular Response and Immune Activation in the Lung. American Journal of Respiratory and Critical Care Medicine. 153(4). 1377–1384. 85 indexed citations

20.

Kalindjian, S. Barret, Michael J. Bodkin, Ildiko M. Buck, et al.. (1994). A New Class of Non-peptidic Cholecystokinin-B/Gastrin Receptor Antagonists Based on Dibenzobicyclo[2.2.2]octane. Journal of Medicinal Chemistry. 37(22). 3671–3673. 17 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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