Ronald M. Laethem

992 citations
18 papers · 817 indexed · h-index 12
Topics
Eicosanoids and Hypertension Pharmacology (9 papers)Pharmacogenetics and Drug Metabolism (7 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Ronald M. Laethem

18 papers receiving 790 citations

Peers

Ronald M. Laethem
Comparison fields: 5 of 77
  • Pharmacology 451
  • Biochemistry 291
  • Molecular Biology 258
  • Oncology 171
  • Endocrinology, Diabetes and Metabolism 110
Replace G. F. Kahl with:
G. F. Kahl Germany
Ylva Terelius Sweden
R. Foti United States
Guengerich Fp United States
DS Davies United Kingdom
Yoshihiko Funae Japan
Alison J. Draper United States
Hsia-lien Lin United States
J G Kenna United Kingdom
Sandra Baldwin United Kingdom
Ronald M. Laethem relative to G. F. Kahl Germany G. F. Kahl's profile →
Citations per field
00.5×6.5×
G. F. Kahl · 1×
Citations per year

Countries citing papers authored by Ronald M. Laethem

Since Specialization
Citations

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

Fields of papers citing papers by Ronald M. Laethem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald M. Laethem

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald M. Laethem. A scholar is included among the top collaborators of Ronald M. Laethem 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 Ronald M. Laethem. Ronald M. Laethem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 8
2 7
3 302
4 26
5 26
6 42
7 21
8 31
9 30
10 17
11 181
12 44
13 23
14 39
15 6
16 6
17 1
18 7

About Ronald M. Laethem

Ronald M. Laethem is a scholar working on Biochemistry, Pharmacology and Physiology, having authored 18 papers that have together received 817 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (9 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Pharmacology (451 citations), Biochemistry (291 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Ronald M. Laethem has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Dennis R. Koop, Carmen Laethem, Michael Balazy, Bingfang Yan, Roy L. Hawke, Stacy S. Shord, Stephanie Faucette, Celeste Lindley, Edward L. LeCluyse and John R. Falck. Their work appears in journals such as Journal of Biological Chemistry, Blood and Methods in enzymology on CD-ROM/Methods in enzymology.

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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