Andreas Windemuth
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 10
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 7
- Molecular Biology top 10%
- Protein Structure and Dynamics 7
- Psychiatry and Mental health top 5%
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- Genetic Associations and Epidemiology 10
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- Diet and metabolism studies 7
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- Lipoproteins and Cardiovascular Health 6
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- Computational Drug Discovery Methods 6
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Co-authors
- Klaus SchultenGualberto RuañoHelmut GrubmüllerHelmut HellerBarry HonigRichard JudsonMohan KocherlaGodfrey D. Pearlson
- Partner nations
- United StatesPuerto RicoSpain
In The Last Decade
Andreas Windemuth
54 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 149
- Pharmacology 189
- Biological Psychiatry 49
- Cognitive Neuroscience 343
- Molecular Biology 1.1k
- Psychiatry and Mental health 210
Countries citing papers authored by Andreas Windemuth
This map shows the geographic impact of Andreas Windemuth'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 Andreas Windemuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Windemuth more than expected).
Fields of papers citing papers by Andreas Windemuth
This network shows the impact of papers produced by Andreas Windemuth. 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 Andreas Windemuth. The network helps show where Andreas Windemuth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Windemuth, 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 | 2018 | 10 | |
| 2 | 2017 | 44 | |
| 3 | 2016 | 9 | |
| 4 | 2016 | 4 | |
| 5 | 2016 | 13 | |
| 6 | 2015 | 29 | |
| 7 | 2011 | 1 | |
| 8 | 2011 | 9 | |
| 9 | 2011 | 16 | |
| 10 | 2010 | 18 | |
| 11 | Prevalence of combinatorial CYP2C9 and VKORC1 genotypes in Puerto Ricans: implications for warfarin management in Hispanics. | 2009 | 16 |
| 12 | 2009 | 14 | |
| 13 | 2008 | 10 | |
| 14 | 2008 | 14 | |
| 15 | 2007 | 202 | |
| 16 | 2007 | 35 | |
| 17 | 2004 | 45 | |
| 18 | 2002 | 71 | |
| 19 | 2000 | 112 | |
| 20 | 1993 | 72 |
About Andreas Windemuth
Andreas Windemuth is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Cognitive Neuroscience, Biochemistry and Computational Theory and Mathematics, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Genetic Associations and Epidemiology (10 papers), Protein Structure and Dynamics (7 papers), Diet and metabolism studies (7 papers), Functional Brain Connectivity Studies (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Computational Drug Discovery Methods (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Pharmacology (189 citations), Biological Psychiatry (49 citations), Cognitive Neuroscience (343 citations), Molecular Biology (1.1k citations) and Psychiatry and Mental health (210 citations). Andreas Windemuth has collaborated with scholars based in United States, Puerto Rico and Spain. Frequent co-authors include Klaus Schulten, Gualberto Ruaño, Helmut Grubmüller, Helmut Heller, Barry Honig, Richard Judson, Mohan Kocherla, Godfrey D. Pearlson, Vince D. Calhoun and Jonathan Stephens. Their work appears in journals such as Pharmacogenomics, Schizophrenia Research, Atherosclerosis, Nutrition & Metabolism and Biomarkers in Medicine.
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.