David M. Bender

14 papers receiving 420 citations

Peers

David M. Bender
Comparison fields: 5 of 80
  • Biological Psychiatry 20
  • Organic Chemistry 118
  • Cellular and Molecular Neuroscience 72
  • Pharmacology 33
  • Pharmacology 63
Replace Jennifer L. Liras with:
Jennifer L. Liras United States
Heinrich Rueeger Switzerland
Britt‐Marie Swahn Sweden
Siew Ying Wong Singapore
Arnold van Loevezijn Netherlands
Elsbeth G. Chikhale United States
Agnese Chiara Pippione Italy
Mark E. McDonnell United States
Géraldine Pénarier France
Kazunobu Aoyama Japan
David M. Bender relative to Jennifer L. Liras United States Jennifer L. Liras's profile →
Citations per field
00.5×1.5×2.1×
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

14 of 14 papers shown
#Work
1 200994
2 200975
3 201161
4 199458
5 200834
6 199725
7 201323
8 201716
9 199812
10 201812
11 20086
12 20155
13 20175
14 20003

About David M. Bender

David M. Bender is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 429 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), Computational Drug Discovery Methods (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Neuroscience and Neuropharmacology Research (2 papers), HIV/AIDS drug development and treatment (2 papers) and Asymmetric Synthesis and Catalysis (1 paper). The work is most often cited by research in Biological Psychiatry (20 citations), Organic Chemistry (118 citations), Cellular and Molecular Neuroscience (72 citations), Pharmacology (33 citations) and Pharmacology (63 citations). David M. Bender has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include James R. McCarthy, M. Holschbach, G. Stöcklin, Martin O’Donnell, Robert M. Williams, Jeffrey A. Peterson, E.J. Perkins, Deyi Zhang, Gregory A. Stephenson and Nicholas A. Magnus. Their work appears in journals such as Organic Letters, Tetrahedron Letters, CNS & Neurological Disorders - Drug Targets, International Journal of Pharmaceutics and Journal of 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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