Kuehl Fa

501 citations
10 papers · 389 · h-index 7

Impact in

Papers in

Kuehl Fa

10 papers receiving 348 citations

Peers

Kuehl Fa
Comparison fields: 5 of 80
  • Physiology 23
  • Pharmacology 75
  • Biochemistry 30
  • Physiology 93
  • Cellular and Molecular Neuroscience 63
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Goldberg Nd United States
Sutherland Ew United States
K.C. Tovey United Kingdom
Piero P. Foà United States
Butcher Rw United States
D. MICHAEL SALMON United Kingdom
Sumio Shima Japan
Beavo Ja United States
Crofford Ob United States
Birger Petersson Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Kuehl Fa

Since Specialization
Citations

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

Fields of papers citing papers by Kuehl Fa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuehl Fa. 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 Kuehl Fa. The network helps show where Kuehl Fa may publish in the future.

Co-authors

The 6 scholars most cited alongside Kuehl Fa, 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 Kuehl Fa Line = papers co-authored together Kuehl Fa links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Biologic regulation through opposing influences of cyclic GMP and cyclic AMP: the Yin Yang hypothesis.
1975249
2
Inflammation: the role of peroxidase-derived products.
198038
3
Direct and indirect involvement of radical scavengers during prostaglandin biosynthesis.
198032
4
Prostaglandin E2 and prostacyclin elevate cyclic AMP levels in elicited populations of mouse peritoneal macrophages.
198021
5
The effect of estrogen upon cyclic nucleotide and prostaglandin levels in the rat uterus.
197618
6
Cyclic AMP and prostaglandins in hormone action.
197213
7
The role of polymorphonuclear peroxidase-dependent oxidants in inflammation.
19809
8
Arachidonic acid oxygenation products produced by mouse peritoneal macrophages responding to inflammatory stimuli.
19806
9
Possible roles of prostaglandins synthesized and secreted by macrophages in regulating immune responses.
19802
10
Pathways of arachidonic acid metabolism and modulation by drugs.
19791

About Kuehl Fa

Kuehl Fa is a scholar working on Biochemistry, Pharmacology, Immunology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Inflammatory mediators and NSAID effects (2 papers), Estrogen and related hormone effects (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Physiology (23 citations), Pharmacology (75 citations), Biochemistry (30 citations), Physiology (93 citations) and Cellular and Molecular Neuroscience (63 citations). Frequent co-authors include Richard D. Estensen, Goldberg Nd, Scott R. Burger, Peter J. Davies, Philip R. Davies and Igal Gery. Their work appears in journals such as PubMed.

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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