S. Colman

429 citations
11 papers · 339 · h-index 8

Impact in

Papers in

S. Colman

11 papers receiving 330 citations

Peers

S. Colman
Comparison fields: 5 of 48
  • Cardiology and Cardiovascular Medicine 165
  • Endocrinology, Diabetes and Metabolism 59
  • Pharmacology 45
  • Pharmacology 23
  • Nephrology 7
Replace Filipi Leles da Costa Dias with:
Filipi Leles da Costa Dias Brazil
S. De Riu Italy
Soumik Goswami India
Katarzyna Musialik Poland
R Haasis Germany
L Savi Italy
Andrea Verhovez Italy
Abiodun Onipinla United Kingdom
Francesco Maranta Italy
Wenhui Zhang China
S. Colman relative to Filipi Leles da Costa Dias Brazil Filipi Leles da Costa Dias's profile →
Citations per field
00.5×3.5×
Filipi Leles da Costa Dias · 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 200745
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, Endocrinology, Diabetes and Metabolism, Pharmacology, Neurology and Family Practice, having authored 11 papers that have together received 339 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (3 papers), Blood Pressure and Hypertension Studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Treatment of Major Depression (1 paper), Renin-Angiotensin System Studies (1 paper), Antiplatelet Therapy and Cardiovascular Diseases (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (165 citations), Endocrinology, Diabetes and Metabolism (59 citations), Pharmacology (45 citations), Pharmacology (23 citations) and Nephrology (7 citations). S. Colman has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include John Chalmers, Mark Woodward, Stephen MacMahon, Bruce Neal, Duncan J. Campbell, Anushka Patel, Alicia J. Jenkins, Bruce E. Kemp, Stephen Harrap and Odette Poirier. Their work appears in journals such as Hypertension, Circulation, BMC Family Practice, Psychiatry and Clinical Neurosciences 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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