G Inglis
Impact in
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
Papers in ⓘ
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- Hormonal Regulation and Hypertension 12
- Adrenal Hormones and Disorders 7
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- Blood groups and transfusion 7
- Co-authors
- R. Fräser (9 shared papers)Stephen G. Ball (9 shared papers)J. M. C. Connell (9 shared papers)Susan Ball (7 shared papers)J. J. Morton (2 shared papers)Andrew R. Jamieson (6 shared papers)M. Tree (2 shared papers)Susan C. Barnett (1 shared paper)
- Journals
- Clinical Science (8 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Transfusion (3 papers)Clinical Endocrinology (3 papers)Vox Sanguinis (3 papers)
- Partner nations
- United KingdomNigeriaItaly
In The Last Decade
G Inglis
52 papers receiving 584 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 185
- Behavioral Neuroscience 29
- Cardiology and Cardiovascular Medicine 151
- Hematology 61
- Cellular and Molecular Neuroscience 90
Countries citing papers authored by G Inglis
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
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.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 57 | |
| 2 | 1981 | 50 | |
| 3 | 1987 | 49 | |
| 4 | 1998 | 33 | |
| 5 | 1987 | 33 | |
| 6 | 2002 | 29 | |
| 7 | 1985 | 25 | |
| 8 | 1975 | 22 | |
| 9 | 1994 | 22 | |
| 10 | 1996 | 20 | |
| 11 | 1988 | 20 | |
| 12 | 2005 | 18 | |
| 13 | 1996 | 14 | |
| 14 | 1986 | 14 | |
| 15 | 1975 | 14 | |
| 16 | 1984 | 14 | |
| 17 | 1987 | 13 | |
| 18 | 1993 | 12 | |
| 19 | 1993 | 12 | |
| 20 | 1989 | 11 |
About G Inglis
G Inglis is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology, Behavioral Neuroscience, Biochemistry and Small Animals, having authored 54 papers that have together received 624 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (12 papers), Adrenal Hormones and Disorders (7 papers), Blood groups and transfusion (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (4 papers), Asthma and respiratory diseases (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (185 citations), Behavioral Neuroscience (29 citations), Cardiology and Cardiovascular Medicine (151 citations), Hematology (61 citations) and Cellular and Molecular Neuroscience (90 citations). G Inglis has collaborated with scholars based in United Kingdom, Nigeria and Italy. Frequent co-authors include R. Fräser, Stephen G. Ball, J. M. C. Connell, Susan Ball, J. J. Morton, Andrew R. Jamieson, M. Tree, Susan C. Barnett, Hugh J. Willison and Jennifer A. Veitch. Their work appears in journals such as Clinical Science, The Journal of Clinical Endocrinology & Metabolism, Transfusion, Clinical Endocrinology and Vox Sanguinis.
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.