G. Sofowora

410 citations
17 papers · 294 · h-index 10

Impact in

Papers in

G. Sofowora

15 papers receiving 282 citations

Peers

G. Sofowora
Comparison fields: 5 of 81
  • Pharmacology 62
  • Cardiology and Cardiovascular Medicine 111
  • Endocrinology, Diabetes and Metabolism 62
  • Animal Science and Zoology 26
  • Behavioral Neuroscience 7
Replace Surai Thaneemit-Chen with:
Surai Thaneemit-Chen United States
Shinpei Morimoto Japan
F Chanoine France
Asa Kessler Israel
Bruce P. Greenberg United States
William Simpson United Kingdom
Gordon Davis United States
Sergio A. Bustamante United States
B. N. Singh United States
Adriana Marton United States
G. Sofowora relative to Surai Thaneemit-Chen United States Surai Thaneemit-Chen's profile →
Citations per field
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Surai Thaneemit-Chen · 1×
Citations per year

Countries citing papers authored by G. Sofowora

Since Specialization
Citations

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

Fields of papers citing papers by G. Sofowora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2003131
2 200127
3 199726
4 199418
5 202014
6 201313
7 199813
8 201612
9 201411
10 199810
11 19967
12 20056
13 20034
14 20051
15
Chronotropic dose response of atropine in Nigerians with congestive heart failure: assessment of ethnic variation and reversibility of parasympathetic dysfunction.
20001
16 20240
17 20250

About G. Sofowora

G. Sofowora is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Animal Science and Zoology and Pharmacology, having authored 17 papers that have together received 294 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (4 papers), Hormonal and reproductive studies (3 papers), Pharmacological Effects and Assays (3 papers), Dermatology and Skin Diseases (2 papers), Receptor Mechanisms and Signaling (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Pharmacology (62 citations), Cardiology and Cardiovascular Medicine (111 citations), Endocrinology, Diabetes and Metabolism (62 citations), Animal Science and Zoology (26 citations) and Behavioral Neuroscience (7 citations). G. Sofowora has collaborated with scholars based in United States, Nigeria and Israel. Frequent co-authors include A.A. Ajayi, G. Wilkinson, Rasaaq Adebayo, Edna F. Choo, Gail Mayo, G. O. A. Ladipo, Bola Adamolekun, ‎Olaniyi Onayemi, Yu Shyr and C. Michael Stein. Their work appears in journals such as Clinical Pharmacology & Therapeutics, International Journal of Cardiology, The Pharmacogenomics Journal, Clinical Autonomic Research and British Journal of Clinical Pharmacology.

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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