Hans Matter
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 41
- Organic Chemistry top 2%
- Carbohydrate Chemistry and Synthesis 7
- Molecular Biology top 5%
- Chemical Synthesis and Analysis 16
- Protein Structure and Dynamics 15
- Glycosylation and Glycoproteins Research 9
- Spectroscopy top 2%
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- Blood Coagulation and Thrombosis Mechanisms 15
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- Machine Learning in Materials Science 10
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- Protease and Inhibitor Mechanisms 8
- Co-authors
- Gerhard HeßlerTudor I. OpreaHerman SchreuderHorst KesslerFriedemann SchmidtMarc NazaréJan WenzelStefan Güssregen
- Journals
- Journal of Medicinal Chemistry (19 papers)Bioorganic & Medicinal Chemistry Letters (12 papers)Journal of Chemical Information and Modeling (8 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Hans Matter
101 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 144
- Computational Theory and Mathematics 1.4k
- Physical and Theoretical Chemistry 290
- Organic Chemistry 804
- Molecular Biology 1.9k
- Spectroscopy 385
Countries citing papers authored by Hans Matter
This map shows the geographic impact of Hans Matter'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 Hans Matter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Matter more than expected).
Fields of papers citing papers by Hans Matter
This network shows the impact of papers produced by Hans Matter. 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 Hans Matter. The network helps show where Hans Matter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans Matter, 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 | 2023 | 13 | |
| 2 | 2022 | 25 | |
| 3 | 2022 | 9 | |
| 4 | 2015 | 70 | |
| 5 | 2014 | 8 | |
| 6 | 2013 | 10 | |
| 7 | 2013 | 6 | |
| 8 | 2012 | 29 | |
| 9 | 2012 | 29 | |
| 10 | 2011 | 16 | |
| 11 | 2011 | 17 | |
| 12 | 2010 | 35 | |
| 13 | 2004 | 13 | |
| 14 | 2004 | 17 | |
| 15 | 2004 | 15 | |
| 16 | 2004 | 15 | |
| 17 | 2004 | 11 | |
| 18 | 2001 | 12 | |
| 19 | 2001 | 46 | |
| 20 | Compound libraries for lead discovery | 1996 | 7 |
About Hans Matter
Hans Matter is a scholar working on Computational Theory and Mathematics, Hematology, Physical and Theoretical Chemistry, Organic Chemistry and Cancer Research, having authored 102 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (41 papers), Chemical Synthesis and Analysis (16 papers), Protein Structure and Dynamics (15 papers), Blood Coagulation and Thrombosis Mechanisms (15 papers), Machine Learning in Materials Science (10 papers), Glycosylation and Glycoproteins Research (9 papers), Protease and Inhibitor Mechanisms (8 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Physical and Theoretical Chemistry (290 citations), Organic Chemistry (804 citations), Molecular Biology (1.9k citations) and Spectroscopy (385 citations). Hans Matter has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Gerhard Heßler, Tudor I. Oprea, Herman Schreuder, Horst Kessler, Friedemann Schmidt, Marc Nazaré, Jan Wenzel, Stefan Güssregen, David W. Will and Volkmar Wehner. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Chemical Information and Modeling, Journal of the American Chemical Society and ChemMedChem.
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.