Andreas Verras

21 papers receiving 607 citations

Peers

Andreas Verras
Comparison fields: 5 of 87
  • Computational Theory and Mathematics 282
  • Ecology, Evolution, Behavior and Systematics 119
  • Pharmacology 50
  • Cell Biology 66
  • Molecular Biology 272
Replace Janosch Achenbach with:
Janosch Achenbach Germany
Tsuyoshi Esaki Japan
Bjoern Gruening Germany
Marat B. Murataliev United States
Sorin Avram Romania
Soheila Anzali Germany
Maria Carmela Vaccaro Italy
Paulette A. Greenidge Switzerland
Ryo C. Yanagita Japan
Andreas Verras relative to Janosch Achenbach Germany Janosch Achenbach's profile →
Citations per field
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Janosch Achenbach · 1×
Citations per year

Countries citing papers authored by Andreas Verras

Since Specialization
Citations

This map shows the geographic impact of Andreas Verras'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 Verras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Verras more than expected).

Fields of papers citing papers by Andreas Verras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Verras. 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 Verras. The network helps show where Andreas Verras may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Verras, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Verras Line = papers co-authored together Andreas Verras links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017201
2 2012164
3 200441
4 201230
5 202129
6 202128
7 200622
8 201719
9 201718
10 201415
11 201010
12 20178
13 20147
14 20177
15 20066
16 20125
17 20065
18 20213
19 20232
20 20112

About Andreas Verras

Andreas Verras is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Pharmacology and Spectroscopy, having authored 21 papers that have together received 623 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (4 papers), Peptidase Inhibition and Analysis (4 papers), Machine Learning in Materials Science (4 papers), Biochemical and Molecular Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Computational Theory and Mathematics (282 citations), Ecology, Evolution, Behavior and Systematics (119 citations), Pharmacology (50 citations), Cell Biology (66 citations) and Molecular Biology (272 citations). Andreas Verras has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Robert P. Sheridan, Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Vijay S. Pande, Matthew Tudor, Michael Niklaus, Paul R. Ortiz de Montellano, Raymonde Fonné‐Pfister and Antoine Daina. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and PLoS ONE.

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.

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