M Ingram
- Endocrinology, Diabetes and Metabolism top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Behavioral Neuroscience top 2%
- Pharmacology top 5%
- Co-authors
- Robert FraserJohn ConnellEleanor DaviesNiall AndersonCaroline MorrisonChristine D. HollowayElaine C. FrielGiancarlo Tonolo
- Topics
- Hormonal Regulation and Hypertension (24 papers)Adrenal Hormones and Disorders (12 papers)Eicosanoids and Hypertension Pharmacology (6 papers)
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
M Ingram
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 941
- Cardiology and Cardiovascular Medicine 284
- Surgery 268
- Behavioral Neuroscience 237
- Pharmacology 175
Countries citing papers authored by M Ingram
This map shows the geographic impact of M Ingram'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 M Ingram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Ingram more than expected).
Fields of papers citing papers by M Ingram
This network shows the impact of papers produced by M Ingram. 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 M Ingram. The network helps show where M Ingram may publish in the future.
Co-authorship network of co-authors of M Ingram
This figure shows the co-authorship network connecting the top 25 collaborators of M Ingram. A scholar is included among the top collaborators of M Ingram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Ingram. M Ingram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 25 | |
| 3 | 23 | |
| 4 | 21 | |
| 5 | Effect of Variation at the Aldosterone Synthase Locus (CYP11B2) on Adrenal 11-beta hydroxylation: Pilot Data from the MRC BRIGHT Study | 1 |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 30 | |
| 9 | 33 | |
| 10 | 32 | |
| 11 | 63 | |
| 12 | 125 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 14 | |
| 16 | 19 | |
| 17 | 145 | |
| 18 | Plasma atrial natriuretic peptide: responses to modest and severe sodium restriction. | 20 |
| 19 | 2 | |
| 20 | 13 |
About M Ingram
M Ingram is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biochemistry, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (24 papers), Adrenal Hormones and Disorders (12 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). The work is most often cited by research in Behavioral Neuroscience (237 citations), Endocrinology, Diabetes and Metabolism (941 citations) and Biochemistry (140 citations). M Ingram has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Robert Fraser, John Connell, Eleanor Davies, Niall Anderson, Caroline Morrison, Christine D. Holloway, Elaine C. Friel, Giancarlo Tonolo, Gordon C. Inglis and Nicola Glorioso. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension 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.