J. R. Womble

402 citations
14 papers · 319 indexed · h-index 9
Topics
Pharmacological Effects and Assays (4 papers)Cardiovascular Function and Risk Factors (3 papers)Pain Mechanisms and Treatments (2 papers)
Partner nations
United States

In The Last Decade

J. R. Womble

13 papers receiving 288 citations

Peers

J. R. Womble
Comparison fields: 5 of 66
  • Pharmacology 122
  • Physiology 78
  • Molecular Biology 59
  • Cell Biology 58
  • Cardiology and Cardiovascular Medicine 52
Replace М. Л. Кукушкин with:
М. Л. Кукушкин Russia
K. Zacharowski Germany
Y Loria France
Rivka Adler Israel
О.С. Давыдов Russia
В. А. Головачева Russia
J. C. Wilier France
B. N. Davies United Kingdom
W Krumholz Germany
Gary W. Jay United States
J. R. Womble relative to М. Л. Кукушкин Russia М. Л. Кукушкин's profile →
Citations per field
00.5×3.7×
М. Л. Кукушкин · 1×
Citations per year

Countries citing papers authored by J. R. Womble

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Womble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. R. Womble

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 10
2 3
3
Low-dose oral terbutaline therapy rapidly induces significant cardiac hypertrophy
2
4
Cardiovascular effects of antidepressants.
111
5 22
6 1
7 19
8 13
9
Plasma epinephrine levels predict right ventricular hypertrophy
1
10
A-16. Isoproterenol acts directly on myocardial β-receptors to cause cardiac hypertrophy
1
11 69
12 11
13 31
14 25

About J. R. Womble

J. R. Womble is a scholar working on Animal Science and Zoology, Transplantation and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 319 indexed citations. Recurring topics across this work include Pharmacological Effects and Assays (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Pharmacology (122 citations), Complementary and Manual Therapy (11 citations) and Cell Biology (58 citations). J. R. Womble has collaborated with scholars based in United States. Frequent co-authors include Stuart R. Hameroff, Diane Haddock Russell, Charles P. Neuman, Thomas P. Davis, R. C. Cork, Mari K. Haddox, Casey D. Blitt, Jack G. Copeland, Douglas F. Larson and D. F. Larson. Their work appears in journals such as British Journal of Pharmacology, Molecular Pharmacology and Life 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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