Peter Monecke

1.4k citations
19 papers · 726 indexed · 1 hit paper · h-index 12
Topics
Computational Drug Discovery Methods (10 papers)Chemical Synthesis and Analysis (5 papers)Protein Structure and Dynamics (5 papers)

In The Last Decade

Peter Monecke

18 papers receiving 710 citations

Hit Papers

The ChEMBL Database in 2023: a drug discovery platform sp...20232026202420252023100200300400

Peers

Peter Monecke
Comparison fields: 5 of 103
  • Molecular Biology 433
  • Computational Theory and Mathematics 345
  • Materials Chemistry 139
  • Organic Chemistry 104
  • Pharmacology 75
Replace Francesca Perruccio with:
Francesca Perruccio United Kingdom
Mike Hann United Kingdom
Matthias Zentgraf Germany
Christine Rudolph Germany
John W. Mayfield United States
Sally Hindle Germany
Markus Hartenfeller Switzerland
Graeme R. Robb United Kingdom
Eloy Félix United Kingdom
Daniel Álvarez-García Spain
Peter Monecke relative to Francesca Perruccio United Kingdom Francesca Perruccio's profile →
Citations per field
00.5×10×15×19.1×
Francesca Perruccio · 1×
Citations per year

Countries citing papers authored by Peter Monecke

Since Specialization
Citations

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

Fields of papers citing papers by Peter Monecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Monecke

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Monecke. A scholar is included among the top collaborators of Peter Monecke 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 Peter Monecke. Peter Monecke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2
The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periodsbreakdown →
469
3 16
4 22
5 4
6 1
7 8
8 19
9 11
10 17
11 35
12 13
13 38
14 10
15 11
16 10
17 10
18 16
19 15

About Peter Monecke

Peter Monecke is a scholar working on Computational Theory and Mathematics, Pharmacology and Biochemistry, having authored 19 papers that have together received 726 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Chemical Synthesis and Analysis (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (345 citations), Molecular Biology (433 citations) and Pharmacology (75 citations). Peter Monecke has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Barbara Zdrazil, David Méndez, Eloy Félix, Harris Ioannidis, Fiona Hunter, Marleen De Veij, Nicolas Bosc, Anna Gaulton, Melissa F. Adasme and Andrew R. Leach. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

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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