Michael J. Hartshorn
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.1%
- Organic Chemistry top 2%
- Oncology top 5%
- Materials Chemistry top 10%
- Co-authors
- Christopher W. MurrayMarcel L. VerdonkRichard D. TaylorJason C. ColeWijnand T. M. MooijGianni ChessariRoderick E. HubbardStephen R. Pearce
- Topics
- Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (8 papers)Enzyme Structure and Function (5 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Michael J. Hartshorn
21 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.7k
- Computational Theory and Mathematics 2.1k
- Organic Chemistry 910
- Oncology 794
- Materials Chemistry 697
Countries citing papers authored by Michael J. Hartshorn
This map shows the geographic impact of Michael J. Hartshorn'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. Hartshorn 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. Hartshorn more than expected).
Fields of papers citing papers by Michael J. Hartshorn
This network shows the impact of papers produced by Michael J. Hartshorn. 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. Hartshorn. The network helps show where Michael J. Hartshorn may publish in the future.
Co-authorship network of co-authors of Michael J. Hartshorn
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Hartshorn. A scholar is included among the top collaborators of Michael J. Hartshorn 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. Hartshorn. Michael J. Hartshorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 20 | |
| 3 | 109 | |
| 4 | Diverse, High-Quality Test Set for the Validation of Protein−Ligand Docking Performancebreakdown → | 501 |
| 5 | 106 | |
| 6 | 59 | |
| 7 | 310 | |
| 8 | 327 | |
| 9 | Structure-guided fragment screening for lead discovery. | 28 |
| 10 | 1 | |
| 11 | 25 | |
| 12 | Improved protein–ligand docking using GOLDbreakdown → | 2421 |
| 13 | 119 | |
| 14 | 52 | |
| 15 | 6 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | Interactive protein modelling | 1 |
| 19 | 41 | |
| 20 | Structural model of ATP-binding proteing associated with cystic fibrosis, multidrug resistance and bacterial transportbreakdown → | 957 |
About Michael J. Hartshorn
Michael J. Hartshorn is a scholar working on Structural Biology, Computational Theory and Mathematics and Molecular Biology, having authored 21 papers that have together received 5.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (8 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Computational Theory and Mathematics (2.1k citations), Molecular Biology (3.7k citations) and Pharmacology (575 citations). Michael J. Hartshorn has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Christopher W. Murray, Marcel L. Verdonk, Richard D. Taylor, Jason C. Cole, Wijnand T. M. Mooij, Gianni Chessari, Roderick E. Hubbard, Stephen R. Pearce, Maurice P. Gallagher and Deborah R. Gill. Their work appears in journals such as Nature, Bioinformatics and Journal of Molecular Biology.
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.