Gordon C. Inglis

767 citations
17 papers · 640 · h-index 11

Impact in

Papers in

Gordon C. Inglis

17 papers receiving 630 citations

Peers

Gordon C. Inglis
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 409
  • Behavioral Neuroscience 40
  • Cardiology and Cardiovascular Medicine 254
  • Biochemistry 61
  • Pharmacology 87
Replace Haruhiko Hatakeyama with:
Haruhiko Hatakeyama Japan
Christine D. Holloway United Kingdom
Kazuhiro Iki Japan
Nathalie Chatelain France
Sidney L. Dale United States
Ilan Irony United States
Melissa K. Standridge United States
Shahla Riazi United States
J M C Connell United Kingdom
Sylvia Agnes Sophia Tait United States
Gordon C. Inglis relative to Haruhiko Hatakeyama Japan Haruhiko Hatakeyama's profile →
Citations per field
00.5×1.7×
Haruhiko Hatakeyama · 1×
Citations per year

Countries citing papers authored by Gordon C. Inglis

Since Specialization
Citations

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

Fields of papers citing papers by Gordon C. Inglis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon C. Inglis. 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 Gordon C. Inglis. The network helps show where Gordon C. Inglis may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1999214
2 198874
3 200269
4 199963
5 198542
6 199541
7 200133
8 198818
9 200118
10 199717
11
Variation at the beta-1 adrenoceptor gene locus affects left ventricular mass in renal failure.
200215
12 199310
13 19957
14 19896
15 19875
16 19884
17 19934

About Gordon C. Inglis

Gordon C. Inglis is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Molecular Biology, having authored 17 papers that have together received 640 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Renin-Angiotensin System Studies (4 papers), Adrenal Hormones and Disorders (3 papers), Heart Failure Treatment and Management (2 papers), Blood Pressure and Hypertension Studies (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Estrogen and related hormone effects (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (409 citations), Behavioral Neuroscience (40 citations), Cardiology and Cardiovascular Medicine (254 citations), Biochemistry (61 citations) and Pharmacology (87 citations). Gordon C. Inglis has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Robert Fraser, John Connell, M Ingram, Christine D. Holloway, Eleanor Davies, Elaine C. Friel, Niall Anderson, Caroline Morrison, Lorna Swan and W. Stewart Hillis. Their work appears in journals such as Journal of Hypertension, Hypertension, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Endocrine Research.

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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