M. Cassidy
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 2
- Biochemical and Structural Characterization 1
- Protein purification and stability 1
-
- Transgenic Plants and Applications 3
- Co-authors
- M. Rudolph (7 shared papers)Jonah Cheung (6 shared papers)Matthew C. Franklin (5 shared papers)E. Gary (3 shared papers)F. Burshteyn (3 shared papers)J. Love (1 shared paper)J.J. Height (1 shared paper)Christopher S. Ginter (3 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Journal of Biological Chemistry (1 paper)Journal of Molecular Biology (1 paper)Journal of Medicinal Chemistry (1 paper)Protein Science (1 paper)
- Partner nations
- United States
In The Last Decade
M. Cassidy
10 papers receiving 1.4k citations
M. Cassidy's Hit Papers
Peers
Comparison fields: 5 of 79
- Pharmacology 1.0k
- Computational Theory and Mathematics 728
- Organic Chemistry 547
- Complementary and alternative medicine 151
- Biotechnology 63
Countries citing papers authored by M. Cassidy
This map shows the geographic impact of M. Cassidy'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 M. Cassidy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Cassidy more than expected).
Fields of papers citing papers by M. Cassidy
This network shows the impact of papers produced by M. Cassidy. 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 M. Cassidy. The network helps show where M. Cassidy may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Cassidy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands Hit paper breakdown → | 2012 | 1086 |
| 2 | 2015 | 75 | |
| 3 | 2015 | 72 | |
| 4 | 2016 | 67 | |
| 5 | 2014 | 38 | |
| 6 | 2007 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2016 | 16 | |
| 9 | 2017 | 7 | |
| 10 | 2010 | 7 |
About M. Cassidy
M. Cassidy is a scholar working on Molecular Biology, Biotechnology, Immunology, Materials Chemistry and Pharmacology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (3 papers), Transgenic Plants and Applications (3 papers), Enzyme Structure and Function (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Biochemical and Structural Characterization (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Pharmacology (1.0k citations), Computational Theory and Mathematics (728 citations), Organic Chemistry (547 citations), Complementary and alternative medicine (151 citations) and Biotechnology (63 citations). M. Cassidy has collaborated with scholars based in United States. Frequent co-authors include M. Rudolph, Jonah Cheung, Matthew C. Franklin, E. Gary, F. Burshteyn, J. Love, J.J. Height, Christopher S. Ginter, David J. Vance and Nicholas J. Mantis. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry, Journal of Molecular Biology, Journal of Medicinal Chemistry and Protein Science.
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.