G Inglis

701 citations
41 papers · 582 · h-index 15

Impact in

Papers in

G Inglis

41 papers receiving 512 citations

Peers

G Inglis
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 171
  • Behavioral Neuroscience 21
  • Cardiology and Cardiovascular Medicine 136
  • Hematology 44
  • Physiology 63
Replace Randy L. Howard with:
Randy L. Howard United States
Stefano Rocco Italy
Rosaire P Gray United Kingdom
Florence Weber Canada
JAN L. TOUBER Netherlands
F. Pecori Giraldi Italy
William W. Winternitz United States
Yoshikazu Kaji Japan
Motochiyo MURAKAMI Japan
D Barzilai Israel
G Inglis relative to Randy L. Howard United States Randy L. Howard's profile →
Citations per field
00.5×2×4×5.3×
Randy L. Howard · 1×
Citations per year

Countries citing papers authored by G Inglis

Since Specialization
Citations

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

Fields of papers citing papers by G Inglis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198151
2 198751
3 199838
4 198735
5 200234
6 198530
7 198825
8 197524
9 199424
10 199622
11 199319
12 198618
13 200518
14 198417
15 199617
16 197515
17 198515
18 199314
19 198713
20 198713

About G Inglis

G Inglis is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Hematology, Endocrinology and Obstetrics and Gynecology, having authored 41 papers that have together received 582 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Renin-Angiotensin System Studies (7 papers), Blood groups and transfusion (4 papers), Blood Pressure and Hypertension Studies (3 papers), Asthma and respiratory diseases (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Pregnancy and preeclampsia studies (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (171 citations), Behavioral Neuroscience (21 citations), Cardiology and Cardiovascular Medicine (136 citations), Hematology (44 citations) and Physiology (63 citations). G Inglis has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include R. Fräser, J. M. C. Connell, Stephen G. Ball, Andrew Jamieson, J. J. Morton, K E Berkin, Neil C. Thomson, Malcolm Tree, J M C Connell and Henry J. Dargie. Their work appears in journals such as Clinical Science, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, The Lancet and Journal of Hypertension.

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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