Jake T. Weeks

976 citations
30 papers · 857 · h-index 13

Impact in

    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism
    • Eicosanoids and Hypertension Pharmacology

Papers in

Jake T. Weeks

29 papers receiving 673 citations

Peers

Jake T. Weeks
Comparison fields: 5 of 102
  • Pharmacology 305
  • Biochemistry 130
  • Cellular and Molecular Neuroscience 147
  • Pharmacology 67
  • Physiology 163
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Countries citing papers authored by Jake T. Weeks

Since Specialization
Citations

This map shows the geographic impact of Jake T. Weeks'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 Jake T. Weeks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake T. Weeks more than expected).

Fields of papers citing papers by Jake T. Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake T. Weeks. 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 Jake T. Weeks. The network helps show where Jake T. Weeks may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1960180
2
Studies on the mechanism of the hypertensive effect of prostaglandin F2-alpha.
1968112
3 1972104
4 197697
5 196962
6 197360
7 196846
8 197938
9 196834
10 198019
11 197918
12 202418
13 197913
14
XXII. Patterns of intravenous self-injection by morphine-addicted rats.
196810
15
Pharmacological profile of a new prostaglandin 8 iso prostaglandin e 1
19688
16
The general pharmacology of prostacyclin (pgi2, pgx): a new prostaglandin especially activity on the cardiovascular system.
19788
17
Introduction to cardiovascular research on prostaglandins.
19765
18 19985
19
AN ATTEMPT TO DEMONSTRATE CEILING EFFICACY OF ANALGESICS IN RATS.
19644
20 19793

About Jake T. Weeks

Jake T. Weeks is a scholar working on Pharmacology, Biochemistry, Physiology, Small Animals and Epidemiology, having authored 30 papers that have together received 857 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (9 papers), Liver Disease Diagnosis and Treatment (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Adipose Tissue and Metabolism (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Estrogen and related hormone effects (2 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Pharmacology (305 citations), Biochemistry (130 citations), Cellular and Molecular Neuroscience (147 citations), Pharmacology (67 citations) and Physiology (163 citations). Jake T. Weeks has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John A. Jones, Donald W. DuCharme, Zalman Amit, Zavie W. Brown, John Richard Schultz, Wendy E Brown, William L. Miller, A Robert, F.F. Sun and Barney J. Magerlein. Their work appears in journals such as Prostaglandins, Journal of Pharmaceutical Sciences, Journal of Pharmacy and Pharmacology, Pharmacology Biochemistry and Behavior and Behavioral and Brain Sciences.

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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