Michelle Southey

457 total citations
15 papers, 338 citations indexed

About

Michelle Southey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Michelle Southey has authored 15 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Computational Theory and Mathematics. Recurrent topics in Michelle Southey's work include Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (6 papers) and Neuropeptides and Animal Physiology (6 papers). Michelle Southey is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (6 papers) and Neuropeptides and Animal Physiology (6 papers). Michelle Southey collaborates with scholars based in United Kingdom, Japan and Germany. Michelle Southey's co-authors include Alexander Heifetz, Andrea Townsend‐Nicholson, Mike J. Bodkin, Julien Michel, Richard Law, Dmitri G. Fedorov, Iñaki Morao, Richard H. Henchman, Michael J. Bodkin and Michael P. Mazanetz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Physical Chemistry Chemical Physics.

In The Last Decade

Michelle Southey

14 papers receiving 336 citations

Peers

Michelle Southey

CTM

AMPO

SPECT

Camilo Velez‐Vega United States

Donghyuk Suh United States

Victoria T. Lim United States

Ulf Börjesson Sweden

Andrea C. McReynolds United States

Arman A. Sadybekov United States

Martin Almlöf Sweden

Tobias Wulsdorf Germany

Steven Ramsey United States

Camilo Velez‐Vega United States

Michelle Southey

334 ×1.3

108 ×0.9

CTM

60 ×0.8

AMPO

70 ×1.0

38 ×0.9

SPECT

Citations per year, relative to Michelle Southey Michelle Southey (= 1×) peers Camilo Velez‐Vega

Countries citing papers authored by Michelle Southey

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Southey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Southey

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Southey. A scholar is included among the top collaborators of Michelle Southey 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 Michelle Southey. Michelle Southey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Southey, Michelle, et al.. (2023). Introduction to small molecule drug discovery and preclinical development. SHILAP Revista de lepidopterología. 3. 32 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

Heifetz, Alexander, Michelle Southey, Iñaki Morao, et al.. (2020). Analyzing GPCR-Ligand Interactions with the Fragment Molecular Orbital (FMO) Method. Methods in molecular biology. 163–175.

Heifetz, Alexander, et al.. (2020). Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) Method. Methods in molecular biology. 2114. 37–48. 7 indexed citations

Heifetz, Alexander, Iñaki Morao, M. Madan Babu, et al.. (2020). Characterizing Interhelical Interactions of G-Protein Coupled Receptors with the Fragment Molecular Orbital Method. Journal of Chemical Theory and Computation. 16(4). 2814–2824. 17 indexed citations

Heifetz, Alexander, Michelle Southey, Iñaki Morao, et al.. (2019). Characterising GPCR–ligand interactions using a fragment molecular orbital-based approach. Current Opinion in Structural Biology. 55. 85–92. 14 indexed citations

Southey, Michelle, et al.. (2019). Ensemble-Based Steered Molecular Dynamics Predicts Relative Residence Time of A_2A Receptor Binders. Journal of Chemical Theory and Computation. 15(5). 3316–3330. 40 indexed citations

Heifetz, Alexander, Michelle Southey, Iñaki Morao, Andrea Townsend‐Nicholson, & Mike J. Bodkin. (2017). Computational Methods Used in Hit-to-Lead and Lead Optimization Stages of Structure-Based Drug Discovery. Methods in molecular biology. 1705. 375–394. 21 indexed citations

10.

Chudyk, Ewa I., Matteo Aldeghi, Dmitri G. Fedorov, et al.. (2017). Exploring GPCR-Ligand Interactions with the Fragment Molecular Orbital (FMO) Method. Methods in molecular biology. 1705. 179–195. 14 indexed citations

11.

Morao, Iñaki, Dmitri G. Fedorov, Michelle Southey, et al.. (2017). Rapid and accurate assessment of GPCR–ligand interactions Using the fragment molecular orbital‐based density‐functional tight‐binding method. Journal of Computational Chemistry. 38(23). 1987–1990. 44 indexed citations

12.

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

13.

Southey, Michelle, et al.. (2015). Evaluation of water displacement energetics in protein binding sites with grid cell theory. Physical Chemistry Chemical Physics. 17(13). 8416–8426. 24 indexed citations

14.

Michel, Julien, et al.. (2014). Evaluation of Host–Guest Binding Thermodynamics of Model Cavities with Grid Cell Theory. Journal of Chemical Theory and Computation. 10(9). 4055–4068. 21 indexed citations

15.

Calabrò, Gaetano, et al.. (2013). Prediction of Small Molecule Hydration Thermodynamics with Grid Cell Theory. Journal of Chemical Theory and Computation. 10(1). 35–48. 56 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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