Daniel J. Warner

961 citations
17 papers · 668 · h-index 12

Impact in

Papers in

    • Plant biochemistry and biosynthesis 2
    • Advanced NMR Techniques and Applications 6
    • Molecular Spectroscopy and Structure 3
    • Molecular spectroscopy and chirality 2

Daniel J. Warner

17 papers receiving 626 citations

Peers

Daniel J. Warner
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 266
  • Spectroscopy 154
  • Pharmacology 59
  • Physical and Theoretical Chemistry 46
  • Molecular Biology 270
Replace Matthew D. Wessel with:
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Friedemann Schmidt Germany
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Daniel J. Warner relative to Matthew D. Wessel United States Matthew D. Wessel's profile →
Citations per field
00.5×5.4×
Matthew D. Wessel · 1×
Citations per year

Countries citing papers authored by Daniel J. Warner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Warner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011206
2 2005149
3 201261
4 196956
5 201054
6 201428
7 200727
8 196725
9 201215
10 201013
11 196811
12 196911
13 20074
14 20122
15 20092
16 19672
17 19672

About Daniel J. Warner

Daniel J. Warner is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Materials Chemistry and Organic Chemistry, having authored 17 papers that have together received 668 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (6 papers), Computational Drug Discovery Methods (3 papers), Molecular Spectroscopy and Structure (3 papers), Solid-state spectroscopy and crystallography (3 papers), Molecular spectroscopy and chirality (2 papers), Plant biochemistry and biosynthesis (2 papers), Asthma and respiratory diseases (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (266 citations), Spectroscopy (154 citations), Pharmacology (59 citations), Physical and Theoretical Chemistry (46 citations) and Molecular Biology (270 citations). Daniel J. Warner has collaborated with scholars based in United Kingdom, Canada and Sweden. Frequent co-authors include Ed Griffen, Andrew G. Leach, Graeme R. Robb, W. Derbyshire, Charles A. Laughton, Steve W. Homans, Richard J. Bingham, Simon E. V. Phillips, Stephen A. St-Gallay and Louis‐David Cantin. Their work appears in journals such as Molecular Physics, Journal of Medicinal Chemistry, Molecular Informatics, Journal of Molecular Graphics and Modelling and Journal of Chemical Information and Modeling.

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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