J. Ycas

1.5k citations
24 papers · 1.0k · h-index 11

Impact in

Papers in

J. Ycas

23 papers receiving 989 citations

Peers

J. Ycas
Comparison fields: 5 of 77
  • Internal Medicine 115
  • Cardiology and Cardiovascular Medicine 453
  • Surgery 395
  • Endocrinology, Diabetes and Metabolism 100
  • Oncology 105
Replace Gabriella Iannuzzo with:
Gabriella Iannuzzo Italy
Paul Guedeney France
Enrico Boschetti Italy
Ilenia Calcaterra Italy
Khaldoun Ben Hamda Tunisia
Issa Alesh United States
An K. Stroobants Netherlands
Brian G. Choi United States
Eralp Tutar Türkiye
Carolyn H. McCabe United States
J. Ycas relative to Gabriella Iannuzzo Italy Gabriella Iannuzzo's profile →
Citations per field
00.5×4.1×
Gabriella Iannuzzo · 1×
Citations per year

Countries citing papers authored by J. Ycas

Since Specialization
Citations

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

Fields of papers citing papers by J. Ycas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010336
2 2008131
3 2013127
4 201591
5 200888
6 200556
7 200753
8 200732
9 200629
10 201726
11
Applying Weighting Methodologies to a Commercial Database to Project US Census Demographic Data
201523
12 20087
13 19837
14 20156
15 19755
16 20134
17 20243
18 20123
19 19982
20 20062

About J. Ycas

J. Ycas is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Oncology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), demographic modeling and climate adaptation (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Peripheral Artery Disease Management (2 papers). The work is most often cited by research in Internal Medicine (115 citations), Cardiology and Cardiovascular Medicine (453 citations), Surgery (395 citations), Endocrinology, Diabetes and Metabolism (100 citations) and Oncology (105 citations). J. Ycas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jay Horrow, Joel S. Raichlen, Joseph Loscalzo, Bertram Pitt, Richard C. Becker, Stefan James, Christopher P. Cannon, Robert F. Storey, Lars Wallentin and Steen Husted. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, Atherosclerosis Supplements, Value in Health and Origins of Life and Evolution of Biospheres.

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.

Explore authors with similar magnitude of impact