E. Ferguson

793 citations
16 papers · 679 indexed · h-index 10

E. Ferguson

16 papers receiving 602 citations

Peers

E. Ferguson
Comparison fields: 5 of 80
  • Genetics 426
  • Reproductive Medicine 98
  • Health, Toxicology and Mutagenesis 94
  • Endocrinology, Diabetes and Metabolism 89
  • Immunology 98
Replace Leonard J. Lerner with:
Leonard J. Lerner Malaysia
Hilton A. Salhanick United States
C W Welsch United States
P. Günzel Germany
Malin Hedengran Faulds Sweden
Agneta Blanck Sweden
Roscoe M. Hersey United States
M Hirst United States
Olayiwola Oduwole Finland
E. Perel Canada
E. Ferguson relative to Leonard J. Lerner Malaysia Leonard J. Lerner's profile →
Citations per field
00.5×1.5×
Leonard J. Lerner · 1×
Citations per year

Countries citing papers authored by E. Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by E. Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside E. Ferguson, 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 E. Ferguson Line = papers co-authored together E. Ferguson links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 198440
2
Gentamicin nephrotoxicity: protective effect of diabetes on cell injury.
198317
3 198233
4 198214
5
Changes in renal cortex electrolyte content and Na-K-ATPase activity in early gentamicin (G) nephrotoxicity
19802
6 198014
7 19803
8
Normal resting and exercising muscle blood flow during acute ethanol infusion
19791
9 1979175
10 197889
11 197777
12 197749
13 1975150
14 19742
15 19739
16 19724

About E. Ferguson

E. Ferguson is a scholar working on Clinical Biochemistry, Genetics, Nephrology, Behavioral Neuroscience and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 679 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pain Mechanisms and Treatments (2 papers), Enzyme function and inhibition (2 papers), Metabolism and Genetic Disorders (2 papers), Ion Transport and Channel Regulation (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Genetics (426 citations), Reproductive Medicine (98 citations), Health, Toxicology and Mutagenesis (94 citations), Endocrinology, Diabetes and Metabolism (89 citations) and Immunology (98 citations). E. Ferguson has collaborated with scholars based in United States and France. Frequent co-authors include Benita S. Katzenellenbogen, John A. Katzenellenbogen, Nancy C. Lan, Hemlata S. Bhakoo, Tochiro Tatee, James P. Knöchel, R. E. Cronin, Jon D. Blachley, Wolfgang Henrich and Paul Southern. Their work appears in journals such as Endocrinology, American Journal of Physiology-Renal Physiology, Advances in experimental medicine and biology, Journal of Biological Chemistry and Steroids.

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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