Catherine M. Viscoli
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Ralph I. HorwitzWalter N. KernanLawrence BrassPhilip M. SarrelSamy SuissaSilvio E. InzucchiRobert MakuchEdward Feldmann
- Topics
- Acute Ischemic Stroke Management (19 papers)Diabetes Treatment and Management (12 papers)Cerebrovascular and Carotid Artery Diseases (11 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismFamily PracticeCardiology and Cardiovascular Medicine
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Catherine M. Viscoli
73 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Endocrinology, Diabetes and Metabolism 1.4k
- Epidemiology 1.1k
- Cardiology and Cardiovascular Medicine 744
- Genetics 685
- Pulmonary and Respiratory Medicine 646
Countries citing papers authored by Catherine M. Viscoli
This map shows the geographic impact of Catherine M. Viscoli'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 Catherine M. Viscoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine M. Viscoli more than expected).
Fields of papers citing papers by Catherine M. Viscoli
This network shows the impact of papers produced by Catherine M. Viscoli. 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 Catherine M. Viscoli. The network helps show where Catherine M. Viscoli may publish in the future.
Co-authorship network of co-authors of Catherine M. Viscoli
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine M. Viscoli. A scholar is included among the top collaborators of Catherine M. Viscoli 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 Catherine M. Viscoli. Catherine M. Viscoli 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 39 | |
| 8 | 69 | |
| 9 | 15 | |
| 10 | 207 | |
| 11 | 491 | |
| 12 | 429 | |
| 13 | A new clinical prediction instrument for TIA and ischemic stroke | 4 |
| 14 | 12 | |
| 15 | 27 | |
| 16 | 25 | |
| 17 | 26 | |
| 18 | 13 | |
| 19 | 136 | |
| 20 | 10 |
About Catherine M. Viscoli
Catherine M. Viscoli is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism and Rehabilitation, having authored 76 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (19 papers), Diabetes Treatment and Management (12 papers) and Cerebrovascular and Carotid Artery Diseases (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Family Practice (147 citations) and Cardiology and Cardiovascular Medicine (744 citations). Catherine M. Viscoli has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ralph I. Horwitz, Walter N. Kernan, Lawrence Brass, Philip M. Sarrel, Samy Suissa, Silvio E. Inzucchi, Robert Makuch, Edward Feldmann, Lewis B. Morgenstern and Joseph P. Broderick. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.