Markus A. Lill
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Protein Structure and Dynamics 33
- Receptor Mechanisms and Signaling 13
-
- Computational Drug Discovery Methods 46
- Co-authors
- Matthew L. Danielson (5 shared papers)Volkhard Helms (6 shared papers)Angelo Vedani (15 shared papers)Laura J. Kingsley (5 shared papers)Max Dobler (10 shared papers)Bingjie Hu (6 shared papers)Martin Smieško (9 shared papers)André Fischer (7 shared papers)
- Journals
- Journal of Chemical Information and Modeling (14 papers)Journal of Medicinal Chemistry (6 papers)Proteins Structure Function and Bioinformatics (4 papers)ChemMedChem (4 papers)The Journal of Chemical Physics (4 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Markus A. Lill
91 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computational Theory and Mathematics 1.3k
- Pharmacology 315
- Molecular Biology 1.9k
- Biophysics 120
- Organic Chemistry 550
Countries citing papers authored by Markus A. Lill
This map shows the geographic impact of Markus A. Lill'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 Markus A. Lill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus A. Lill more than expected).
Fields of papers citing papers by Markus A. Lill
This network shows the impact of papers produced by Markus A. Lill. 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 Markus A. Lill. The network helps show where Markus A. Lill may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus A. Lill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Computer-aided drug design platform using PyMOL Hit paper breakdown → | 2010 | 468 |
| 2 | 2021 | 153 | |
| 3 | 2008 | 139 | |
| 4 | 2015 | 134 | |
| 5 | 2020 | 123 | |
| 6 | 2002 | 120 | |
| 7 | 2011 | 119 | |
| 8 | 2005 | 119 | |
| 9 | 2007 | 106 | |
| 10 | 2013 | 104 | |
| 11 | 2009 | 93 | |
| 12 | 2004 | 88 | |
| 13 | 2001 | 78 | |
| 14 | 2011 | 74 | |
| 15 | 2014 | 64 | |
| 16 | 2013 | 55 | |
| 17 | 2006 | 50 | |
| 18 | 2020 | 46 | |
| 19 | 2005 | 46 | |
| 20 | 2001 | 43 |
About Markus A. Lill
Markus A. Lill is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Genetics and Spectroscopy, having authored 93 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (46 papers), Protein Structure and Dynamics (33 papers), Enzyme Structure and Function (15 papers), Receptor Mechanisms and Signaling (13 papers), Estrogen and related hormone effects (10 papers), Pharmacogenetics and Drug Metabolism (9 papers), Analytical Chemistry and Chromatography (8 papers) and Spectroscopy and Quantum Chemical Studies (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Pharmacology (315 citations), Molecular Biology (1.9k citations), Biophysics (120 citations) and Organic Chemistry (550 citations). Markus A. Lill has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Matthew L. Danielson, Volkhard Helms, Angelo Vedani, Laura J. Kingsley, Max Dobler, Bingjie Hu, Martin Smieško, André Fischer, Manuel Sellner and Gregory L. Wilson. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics, ChemMedChem and The Journal of Chemical Physics.
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.