Daniel Cappel

1.3k citations
19 papers · 576 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 6
    • Cancer therapeutics and mechanisms 2
    • Quinazolinone synthesis and applications 2
    • Synthesis and Biological Evaluation 2

Daniel Cappel

19 papers receiving 572 citations

Peers

Daniel Cappel
Comparison fields: 5 of 83
  • Computational Theory and Mathematics 188
  • Organic Chemistry 184
  • Physical and Theoretical Chemistry 47
  • Molecular Biology 327
  • Process Chemistry and Technology 9
Replace Martin Peters with:
Martin Peters United States
Montserrat Cases Spain
Harald Mauser Switzerland
Tang Youqi China
Hans‐Peter Buchstaller Germany
Nicolas Chéron France
Christophe Meyer France
Eric T. Mack United States
Christopher I. Williams Canada
Robert S. DeWitte United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Cappel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cappel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Cappel, 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 Daniel Cappel Line = papers co-authored together Daniel Cappel links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2015107
2 200582
3 201758
4 201257
5 201654
6 201443
7 201436
8 200528
9 201326
10 202024
11 201117
12 200714
13 200612
14 20187
15 20143
16 20113
17 20112
18 20212
19 20201

About Daniel Cappel

Daniel Cappel is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Materials Chemistry and Pharmacology, having authored 19 papers that have together received 576 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers), Quinazolinone synthesis and applications (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Cancer therapeutics and mechanisms (2 papers), Synthesis and Biological Evaluation (2 papers), Machine Learning in Materials Science (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (188 citations), Organic Chemistry (184 citations), Physical and Theoretical Chemistry (47 citations), Molecular Biology (327 citations) and Process Chemistry and Technology (9 citations). Daniel Cappel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Woody Sherman, Gernot Frenking, Andreas Krapp, Thijs Beuming, Goran Krilov, Richard A. Friesner, Markus K. Dahlgren, Robert Abel, Thomas Steinbrecher and Lin Teng. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, ChemMedChem, ACS Medicinal Chemistry Letters and Current Topics in Medicinal Chemistry.

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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