Andrea Volkamer

4.2k citations
55 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Computational Drug Discovery Methods (43 papers)Protein Structure and Dynamics (20 papers)Enzyme Structure and Function (11 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Andrea Volkamer

51 papers receiving 2.1k citations

Hit Papers

DoGSiteScorer: a web server for automatic binding site pr...20122026201620212012100200300

Peers

Andrea Volkamer
Comparison fields: 5 of 130
  • Molecular Biology 1.4k
  • Computational Theory and Mathematics 936
  • Materials Chemistry 293
  • Organic Chemistry 221
  • Pharmacology 203
Replace Friedrich Rippmann with:
Friedrich Rippmann Germany
Sudipto Mukherjee United States
Trent E. Balius United States
Erin S. D. Bolstad United States
Gregory Sliwoski United States
Paul Labute Canada
Sandeepkumar Kothiwale United States
Janez Konc Slovenia
Matthew J. O’Meara United States
Edward W. Lowe United States
Andrea Volkamer relative to Friedrich Rippmann Germany Friedrich Rippmann's profile →
Citations per field
00.5×3.7×
Friedrich Rippmann · 1×
Citations per year

Countries citing papers authored by Andrea Volkamer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Andrea Volkamer

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Volkamer. A scholar is included among the top collaborators of Andrea Volkamer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Volkamer. Andrea Volkamer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 0
4 15
5 21
6 8
7 12
8 16
9 6
10 8
11 120
12 19
13 43
14 21
15 9
16 77
17 1
18 28
19 18
20 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) and Enzyme Structure and Function (11 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.

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