G Inglis

890 citations
54 papers · 673 · h-index 15

Impact in

Papers in

G Inglis

53 papers receiving 616 citations

Peers

G Inglis
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 178
  • Behavioral Neuroscience 31
  • Cardiology and Cardiovascular Medicine 127
  • Hematology 62
  • Cellular and Molecular Neuroscience 100
Replace Gerald D. Kelly with:
Gerald D. Kelly United States
S Alagna Italy
C Scandellari Italy
K Barbosa United States
Aleksandra Jotić Serbia
G Leboeuf Canada
G. M. C. Masson United States
Nadia Naour France
Elisabeth Svanberg Sweden
D Barzilai Israel
G Inglis relative to Gerald D. Kelly United States Gerald D. Kelly's profile →
Citations per field
00.5×
Gerald D. Kelly · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199361
2 198751
3 198150
4 198735
5 199835
6 198530
7 200230
8 197523
9 199423
10 198823
11 199621
12 200518
13 199318
14 198617
15 198416
16 197514
17 199614
18 198514
19 198713
20 199313

About G Inglis

G Inglis is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 673 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (12 papers), Blood groups and transfusion (7 papers), Adrenal Hormones and Disorders (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (178 citations), Behavioral Neuroscience (31 citations), Cardiology and Cardiovascular Medicine (127 citations), Hematology (62 citations) and Cellular and Molecular Neuroscience (100 citations). G Inglis has collaborated with scholars based in United Kingdom, Nigeria and Italy. Frequent co-authors include R. Fräser, J. M. C. Connell, Stephen G. Ball, Susan Ball, J. J. Morton, Andrew Jamieson, Neil C. Thomson, Hugh J. Willison, K E Berkin and Jennifer A. Veitch. Their work appears in journals such as Clinical Science, The Journal of Clinical Endocrinology & Metabolism, Vox Sanguinis, Clinical Endocrinology and Transfusion.

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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