David M. Bender

16 papers receiving 449 citations

Peers

David M. Bender
Comparison fields: 5 of 83
  • Biological Psychiatry 22
  • Cellular and Molecular Neuroscience 78
  • Pharmaceutical Science 26
  • Pharmacology 66
  • Organic Chemistry 121
Replace Jennifer L. Liras with:
Jennifer L. Liras United States
Britt‐Marie Swahn Sweden
Emanuela Arena Italy
Heinrich Rueeger Switzerland
Ghilsoo Nam South Korea
Ludy van Beijsterveldt Belgium
Jung‐Mi Hah South Korea
Parvinder K. Aley United Kingdom
Erik Wagner United States
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David M. Bender relative to Jennifer L. Liras United States Jennifer L. Liras's profile →
Citations per field
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Jennifer L. Liras · 1×
Citations per year

Countries citing papers authored by David M. Bender

Since Specialization
Citations

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

Fields of papers citing papers by David M. Bender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200996
2 200975
3 199464
4 201162
5 200835
6 199726
7 201325
8 201718
9 199814
10 201813
11 201410
12 20177
13 20086
14 20155
15 20003
16 20173

About David M. Bender

David M. Bender is a scholar working on Organic Chemistry, Molecular Biology, Pharmaceutical Science, Computational Theory and Mathematics and Pharmacology, having authored 16 papers that have together received 462 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (4 papers), Drug Solubulity and Delivery Systems (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Cellular and Molecular Neuroscience (78 citations), Pharmaceutical Science (26 citations), Pharmacology (66 citations) and Organic Chemistry (121 citations). David M. Bender has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James R. McCarthy, G. Stöcklin, M. Holschbach, Martin O’Donnell, Robert M. Williams, Jeffrey A. Peterson, E.J. Perkins, Gregory A. Stephenson, Deyi Zhang and Anne H. Dantzig. Their work appears in journals such as Organic Letters, Journal of Pharmacokinetics and Pharmacodynamics, Drug Metabolism and Disposition, Tetrahedron Letters and The Journal of Organic 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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