Martin H. Weik
- Molecular Biology top 2%
- Materials Chemistry top 2%
- Pharmacology top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Giuseppe Zaccaı̈Jacques‐Philippe ColletierJoel L. SussmanIsrael SilmanElspeth F. GarmanFrank GabelUrsula LehnertKathleen Wood
- Topics
- Protein Structure and Dynamics (47 papers)Enzyme Structure and Function (41 papers)Cholinesterase and Neurodegenerative Diseases (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Martin H. Weik
110 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 170
- Molecular Biology 3.0k
- Materials Chemistry 1.8k
- Pharmacology 870
- Atomic and Molecular Physics, and Optics 779
- Computational Theory and Mathematics 581
Countries citing papers authored by Martin H. Weik
This map shows the geographic impact of Martin H. Weik'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 Martin H. Weik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin H. Weik more than expected).
Fields of papers citing papers by Martin H. Weik
This network shows the impact of papers produced by Martin H. Weik. 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 Martin H. Weik. The network helps show where Martin H. Weik may publish in the future.
Co-authorship network of co-authors of Martin H. Weik
This figure shows the co-authorship network connecting the top 25 collaborators of Martin H. Weik. A scholar is included among the top collaborators of Martin H. Weik 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 Martin H. Weik. Martin H. Weik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 88 | |
| 8 | 8 | |
| 9 | 40 | |
| 10 | 11 | |
| 11 | 39 | |
| 12 | 46 | |
| 13 | 104 | |
| 14 | 56 | |
| 15 | 118 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 46 | |
| 19 | 130 | |
| 20 | 72 |
About Martin H. Weik
Martin H. Weik is a scholar working on Structural Biology, Pharmacology and Computational Theory and Mathematics, having authored 112 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (47 papers), Enzyme Structure and Function (41 papers) and Cholinesterase and Neurodegenerative Diseases (28 papers). The work is most often cited by research in Structural Biology (145 citations), Pharmacology (870 citations) and Molecular Biology (3.0k citations). Martin H. Weik has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Giuseppe Zaccaı̈, Jacques‐Philippe Colletier, Joel L. Sussman, Israel Silman, Elspeth F. Garman, Frank Gabel, Ursula Lehnert, Kathleen Wood, Raimond B. G. Ravelli and Douglas J. Tobias. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.