Steven J. Berthel

618 citations
13 papers · 315 indexed · h-index 10
Topics
Pancreatic function and diabetes (5 papers)Metabolism, Diabetes, and Cancer (4 papers)Computational Drug Discovery Methods (3 papers)

In The Last Decade

Steven J. Berthel

12 papers receiving 299 citations

Peers

Steven J. Berthel
Comparison fields: 5 of 53
  • Molecular Biology 192
  • Surgery 156
  • Endocrinology, Diabetes and Metabolism 102
  • Organic Chemistry 60
  • Immunology 33
Replace Yangliang Ye with:
Yangliang Ye China
Akifumi Kogame Japan
Hideka Hosaka Japan
Heather A. Bullock United States
Lars-Göran Bladh Sweden
Liusheng Zhu United States
Irene Feingold Canada
Dipam Patel India
Ewa Nilsson Sweden
Christoph Steeneck United States
Steven J. Berthel relative to Yangliang Ye China Yangliang Ye's profile →
Citations per field
00.5×1.7×
Yangliang Ye · 1×
Citations per year

Countries citing papers authored by Steven J. Berthel

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Berthel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Berthel. 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 Steven J. Berthel. The network helps show where Steven J. Berthel may publish in the future.

Co-authorship network of co-authors of Steven J. Berthel

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Berthel. A scholar is included among the top collaborators of Steven J. Berthel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven J. Berthel. Steven J. Berthel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 11
3 21
4 3
5 41
6 9
7 41
8 44
9 49
10 2
11
Cell-based screening approach for antitumor drug leads which exploits sensitivity differences between normal and cancer cells: identification of two novel cell-cycle inhibitors.
13
12 49
13 32

About Steven J. Berthel

Steven J. Berthel is a scholar working on Toxicology, Computational Theory and Mathematics and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 315 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (102 citations), Toxicology (15 citations) and Surgery (156 citations). Steven J. Berthel has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Ramakanth Sarabu, Jefferson Tilley, Robert F. Kester, Gordon W. Gribble, Joseph Grimsby, Bogumił Zelent, Nicolai M. Doliba, Franz M. Matschinsky, Klaus H. Kaestner and Jane M. Vanderkooi. Their work appears in journals such as Nature Biotechnology, Tetrahedron and Journal of Chemical Information and Modeling.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026