Benjamin D. Stevens

869 citations
22 papers · 488 · h-index 15

Impact in

Papers in

Benjamin D. Stevens

22 papers receiving 477 citations

Peers

Benjamin D. Stevens
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 131
  • Molecular Biology 274
  • Organic Chemistry 117
  • Cellular and Molecular Neuroscience 66
  • Surfaces, Coatings and Films 18
Replace Hiroyuki Kishida with:
Hiroyuki Kishida Japan
Miaobo Pan China
Helle B. Olsen Denmark
Sam Milstein United States
Julian W. Snow United States
Yunguang Qiu China
Xiaowei Yao China
Katsumi Iga Japan
Joanna Zielińska Poland
Mark J. Tebbe United States
Benjamin D. Stevens relative to Hiroyuki Kishida Japan Hiroyuki Kishida's profile →
Citations per field
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Hiroyuki Kishida · 1×
Citations per year

Countries citing papers authored by Benjamin D. Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Stevens. 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 Benjamin D. Stevens. The network helps show where Benjamin D. Stevens may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 201469
3 200241
4 201335
5 200627
6 201326
7 200326
8 201124
9 201122
10 200522
11 201321
12 200819
13 201417
14 201017
15 201214
16 202012
17 201310
18 20145
19 20113
20 20123

About Benjamin D. Stevens

Benjamin D. Stevens is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Organic Chemistry and Biomedical Engineering, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Receptor Mechanisms and Signaling (6 papers), Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Chemical Synthesis and Analysis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Synthesis and biological activity (2 papers) and Multicomponent Synthesis of Heterocycles (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (131 citations), Molecular Biology (274 citations), Organic Chemistry (117 citations), Cellular and Molecular Neuroscience (66 citations) and Surfaces, Coatings and Films (18 citations). Benjamin D. Stevens has collaborated with scholars based in United States and China. Frequent co-authors include Scott G. Nelson, Michael A. Calter, Chang‐Hyun Jang, William A. Ducker, Chris Limberakis, Jeffrey A. Pfefferkorn, Kevin J. Filipski, Amit S. Kalgutkar, Raman Sharma and Michael Ainsworth. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Drug Metabolism and Disposition, Tetrahedron Letters, The Journal of Organic Chemistry and Synthesis.

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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