Benjamin D. Stevens

865 citations
21 papers · 459 · h-index 15

Impact in

Papers in

Benjamin D. Stevens

21 papers receiving 448 citations

Peers

Benjamin D. Stevens
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 130
  • Molecular Biology 273
  • Organic Chemistry 112
  • Cellular and Molecular Neuroscience 65
  • Surfaces, Coatings and Films 16
Replace Hiroyuki Kishida with:
Hiroyuki Kishida Japan
Miaobo Pan China
Helle B. Olsen Denmark
Sam Milstein United States
Yunguang Qiu China
Mark J. Tebbe United States
Kim Adelhorst Denmark
Xiaowei Yao China
Ameha Seyoum Woldu Australia
Anna Zhou United States
Benjamin D. Stevens relative to Hiroyuki Kishida Japan Hiroyuki Kishida's profile →
Citations per field
00.5×5.3×
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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 201466
3 200238
4 201335
5 200627
6 201123
7 201323
8 200522
9 201121
10 200321
11 201320
12 201017
13 200817
14 201416
15 201214
16 202011
17 201310
18 20146
19 20132
20 20112

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 21 papers that have together received 459 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Pancreatic function and diabetes (6 papers), Receptor Mechanisms and Signaling (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Chemical Synthesis and Analysis (3 papers), Neuropeptides and Animal Physiology (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Molecular Biology (273 citations), Organic Chemistry (112 citations), Cellular and Molecular Neuroscience (65 citations) and Surfaces, Coatings and Films (16 citations). Benjamin D. Stevens has collaborated with scholars based in United States and China. Frequent co-authors include Scott G. Nelson, William A. Ducker, Michael A. Calter, Chang‐Hyun Jang, Chris Limberakis, Amit S. Kalgutkar, Raman Sharma, Gary E. Aspnes, Kevin J. Filipski and Christopher J. Bungard. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, The Journal of Organic Chemistry, Drug Metabolism and Disposition and Journal of the American Chemical Society.

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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