Andrea Volkamer
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 43
- Molecular Biology top 5%
- Protein Structure and Dynamics 20
- Metabolomics and Mass Spectrometry Studies 4
- Bioinformatics and Genomic Networks 4
- Chemical Synthesis and Analysis 3
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 5
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 5
- Molecular Medicine top 10%
-
- Enzyme Structure and Function 11
- Machine Learning in Materials Science 10
- Co-authors
- Matthias RareyFriedrich RippmannDaniel KühnThomas GrombacherTalia B. KimberSamo TurkSimone FulleSameh Eid
- Journals
- Nucleic Acids Research (2 papers)SHILAP Revista de lepidopterología (3 papers)Bioinformatics (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Andrea Volkamer
51 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 936
- Molecular Biology 1.4k
- Pharmacology 203
- Pharmacology 84
- Molecular Medicine 41
Countries citing papers authored by Andrea Volkamer
This map shows the geographic impact of Andrea Volkamer'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 Andrea Volkamer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Volkamer more than expected).
Fields of papers citing papers by Andrea Volkamer
This network shows the impact of papers produced by Andrea Volkamer. 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 Andrea Volkamer. The network helps show where Andrea Volkamer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Volkamer, 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 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 120 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 43 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 77 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 28 | |
| 19 | 2019 | 18 | |
| 20 | 2018 | 29 |
About Andrea Volkamer
Andrea Volkamer is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (43 papers), Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (11 papers), Machine Learning in Materials Science (10 papers), Microbial Natural Products and Biosynthesis (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (936 citations), Molecular Biology (1.4k citations) and Pharmacology (203 citations). Andrea Volkamer has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Matthias Rarey, Friedrich Rippmann, Daniel Kühn, Thomas Grombacher, Talia B. Kimber, Samo Turk, Simone Fulle, Sameh Eid, Dominique Sydow and Eva Nittinger. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.