John W. Liebeschuetz
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Materials Chemistry
- Physical and Theoretical Chemistry top 10%
- Co-authors
- Jason C. ColeOliver KorbTjelvar S. G. OlssonColin R. GroomSimon J. BowdenMarcel L. VerdonkFrank H. AllenRichard J. Hall
- Topics
- Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (8 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers)
- Journals
- Journal of Medicinal ChemistryOrganic & Biomolecular ChemistryJournal of Chemical Information and Modeling
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
John W. Liebeschuetz
25 papers receiving 706 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 451
- Computational Theory and Mathematics 331
- Organic Chemistry 211
- Materials Chemistry 176
- Physical and Theoretical Chemistry 74
Countries citing papers authored by John W. Liebeschuetz
This map shows the geographic impact of John W. Liebeschuetz'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 John W. Liebeschuetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Liebeschuetz more than expected).
Fields of papers citing papers by John W. Liebeschuetz
This network shows the impact of papers produced by John W. Liebeschuetz. 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 John W. Liebeschuetz. The network helps show where John W. Liebeschuetz may publish in the future.
Co-authorship network of co-authors of John W. Liebeschuetz
This figure shows the co-authorship network connecting the top 25 collaborators of John W. Liebeschuetz. A scholar is included among the top collaborators of John W. Liebeschuetz 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 John W. Liebeschuetz. John W. Liebeschuetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 20 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 78 | |
| 6 | 32 | |
| 7 | 37 | |
| 8 | 140 | |
| 9 | 56 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 18 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 8 |
About John W. Liebeschuetz
John W. Liebeschuetz is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Genetics, having authored 25 papers that have together received 738 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (8 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). The work is most often cited by research in Computational Theory and Mathematics (331 citations), Physical and Theoretical Chemistry (74 citations) and Organic Chemistry (211 citations). John W. Liebeschuetz has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Jason C. Cole, Oliver Korb, Tjelvar S. G. Olsson, Colin R. Groom, Simon J. Bowden, Marcel L. Verdonk, Frank H. Allen, Richard J. Hall, Aurora J. Cruz‐Cabeza and David A. Bardwell. Their work appears in journals such as Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry and Journal of Chemical Information and Modeling.
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.