David Diller

2.1k citations
66 papers · 1.5k indexed · h-index 19

Impact in

Papers in

David Diller

64 papers receiving 1.4k citations

Peers

David Diller
Comparison fields: 5 of 150
  • Computational Theory and Mathematics 634
  • Molecular Biology 833
  • Pharmacology 78
  • Organic Chemistry 225
  • Pharmacology 124
Replace Andrea Zaliani with:
Andrea Zaliani Germany
Jiankun Lyu United States
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Niklas Blomberg Sweden
Gregory Sliwoski United States
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Citations per field
00.5×1.5×1.8×
Andrea Zaliani · 1×
Citations per year

Countries citing papers authored by David Diller

Since Specialization
Citations

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

Fields of papers citing papers by David Diller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001263
2 2008153
3 200393
4 200384
5 200681
6 201056
7 199954
8 200554
9 200248
10 200437
11 200237
12 200137
13 201537
14 199937
15 202136
16 200534
17 200433
18 199629
19 199918
20
The synergy between combinatorial chemistry and high-throughput screening.
200818

About David Diller

David Diller is a scholar working on Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Public Health, Environmental and Occupational Health, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Protein Structure and Dynamics (10 papers), Chemical Synthesis and Analysis (10 papers), Innovations in Medical Education (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Analytical Chemistry and Chromatography (5 papers), Clinical Reasoning and Diagnostic Skills (5 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Computational Theory and Mathematics (634 citations), Molecular Biology (833 citations), Pharmacology (78 citations), Organic Chemistry (225 citations) and Pharmacology (124 citations). David Diller has collaborated with scholars based in United States, Norway and Kazakhstan. Frequent co-authors include Kenneth M. Merz, Anthony E. Klon, Christophe L. M. J. Verlinde, Wim G. J. Hol, Doug W. Hobbs, Douglas S. Auld, Ronald L. Johnson, Noel Southall, Anton Simeonov and Christopher P. Austin. Their work appears in journals such as Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics, Journal of Chemical Information and Modeling, AEM Education and Training and Journal of Computer-Aided Molecular Design.

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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