Robert Preißner

16.7k total citations · 6 hit papers
214 papers, 10.9k citations indexed

About

Robert Preißner is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Robert Preißner has authored 214 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 56 papers in Computational Theory and Mathematics and 24 papers in Pharmacology. Recurrent topics in Robert Preißner's work include Computational Drug Discovery Methods (56 papers), Protein Structure and Dynamics (37 papers) and Pharmacogenetics and Drug Metabolism (19 papers). Robert Preißner is often cited by papers focused on Computational Drug Discovery Methods (56 papers), Protein Structure and Dynamics (37 papers) and Pharmacogenetics and Drug Metabolism (19 papers). Robert Preißner collaborates with scholars based in Germany, United States and Italy. Robert Preißner's co-authors include Priyanka Banerjee, Mathias Dunkel, Andreas Eckert, Anna K. Schrey, Andrean Goede, Björn-Oliver Gohlke, Saskia Preißner, Janette Nickel, Catherine L. Worth and Malgorzata N. Drwal and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Robert Preißner

205 papers receiving 10.7k citations

Hit Papers

ProTox-II: a webserver for the prediction of toxicity... 2013 2026 2017 2021 2018 2014 2024 2014 2013 500 1000 1.5k 2.0k

Peers

Robert Preißner
Comparison fields: 5 of 198
  • Molecular Biology 5.4k
  • Computational Theory and Mathematics 3.3k
  • Organic Chemistry 1.3k
  • Pharmacology 1.1k
  • Pharmacology 1.1k
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Citations per field, relative to Robert Preißner
Robert Preißner · 1×
Citations per year, relative to Robert Preißner
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Countries citing papers authored by Robert Preißner

Since Specialization
Citations

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

Fields of papers citing papers by Robert Preißner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Preißner

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Preißner. A scholar is included among the top collaborators of Robert Preißner 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 Robert Preißner. Robert Preißner 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
# Work Indexed citations
1 2
2 0
3 0
4 5
5 1
6 2
7 15
8 3
9 12
10 2
11 24
12 11
13 8
14 40
15 3
16 71
17 188
18 49
19 31
20
Dictionary of Interfaces in Proteins (DIP). Data Bank of complementary molecular surface patches.
1

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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