S. Colman

428 citations
11 papers · 340 · h-index 8

Impact in

Papers in

S. Colman

11 papers receiving 331 citations

Peers

S. Colman
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 204
  • Endocrinology, Diabetes and Metabolism 110
  • Biological Psychiatry 9
  • Pharmacology 60
  • Pharmacology 25
Replace Annika Adlerberth with:
Annika Adlerberth Sweden
Stefano Tedeschi Italy
Helmut Brussee Austria
K Buchholz Germany
Min-Shung Lin Taiwan
Yaoshan Dun China
E. Marie Freel United Kingdom
S. De Riu Italy
M. Bayless United States
Miltiadis Alevizos Greece
S. Colman relative to Annika Adlerberth Sweden Annika Adlerberth's profile →
Citations per field
00.5×6.3×
Annika Adlerberth · 1×
Citations per year

Countries citing papers authored by S. Colman

Since Specialization
Citations

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

Fields of papers citing papers by S. Colman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2003103
2 200564
3 200746
4 200537
5 200534
6 200432
7 20077
8 20077
9
Acute phase results from STORM, a multicountry observational study of bipolar disorder treatment and outcomes.
20074
10
Perindopril-based blood pressure lowering reduces major vascular events in patients with atrial fibrillation and prior stroke or TIA
20053
11 20113

About S. Colman

S. Colman is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology, having authored 11 papers that have together received 340 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Heart Failure Treatment and Management (3 papers), Acute Ischemic Stroke Management (2 papers), Hormonal Regulation and Hypertension (2 papers), Mental Health Research Topics (1 paper), Bipolar Disorder and Treatment (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (204 citations), Endocrinology, Diabetes and Metabolism (110 citations), Biological Psychiatry (9 citations), Pharmacology (60 citations) and Pharmacology (25 citations). S. Colman has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include Bruce Neal, John Chalmers, Stephen MacMahon, Mark Woodward, Duncan J. Campbell, Anushka Patel, Alicia J. Jenkins, Bruce E. Kemp, François Cambien and Odette Poirier. Their work appears in journals such as Hypertension, BMC Family Practice, Journal of Hypertension, European Heart Journal and Stroke.

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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