Daniel Cappel

1.3k citations
19 papers · 606 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 6
    • Chemical Synthesis and Analysis 2
    • Cancer therapeutics and mechanisms 2
    • Quinazolinone synthesis and applications 2
    • Synthesis and Properties of Aromatic Compounds 2

Daniel Cappel

19 papers receiving 598 citations

Peers

Daniel Cappel
Comparison fields: 5 of 79
  • Computational Theory and Mathematics 198
  • Organic Chemistry 188
  • Physical and Theoretical Chemistry 48
  • Molecular Biology 334
  • Toxicology 11
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Martin Peters United States
Montserrat Cases Spain
Elizabeth A. Amin United States
Tang Youqi China
Hans‐Peter Buchstaller Germany
Nicolas Chéron France
Mehran Jalaie 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 2015115
2 200583
3 201260
4 201760
5 201658
6 201445
7 201436
8 200528
9 201328
10 202028
11 201118
12 200716
13 200613
14 20187
15 20113
16 20143
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 606 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), Synthesis and Properties of Aromatic Compounds (2 papers), Research on Leishmaniasis Studies (2 papers), Chemical Synthesis and Analysis (2 papers), Enzyme Structure and Function (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (198 citations), Organic Chemistry (188 citations), Physical and Theoretical Chemistry (48 citations), Molecular Biology (334 citations) and Toxicology (11 citations). Daniel Cappel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Woody Sherman, Gernot Frenking, Thijs Beuming, Andreas Krapp, Thomas Steinbrecher, Goran Krilov, Robert Abel, Richard A. Friesner, Markus K. Dahlgren and Lin Teng. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Journal of Medicinal Chemistry, PLoS ONE 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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