Ian J. Kulac
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Surgery
- Co-authors
- Brian ClaggettScott D. SolomonJohn J.V. McMurrayMuthiah VaduganathanAkshay S. DesaiPardeep S. JhundCarolyn S.P. LamZi Michael Miao
- Topics
- Heart Failure Treatment and Management (12 papers)Cardiovascular Function and Risk Factors (8 papers)Hormonal Regulation and Hypertension (6 papers)
- Journals
- CirculationJournal of the American College of CardiologyJournal of the American Society of Nephrology
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Ian J. Kulac
15 papers receiving 226 citations
Hit Papers
Peers
Comparison fields: 5 of 36
- Cardiology and Cardiovascular Medicine 166
- Endocrinology, Diabetes and Metabolism 99
- Molecular Biology 31
- Pulmonary and Respiratory Medicine 29
- Surgery 23
Countries citing papers authored by Ian J. Kulac
This map shows the geographic impact of Ian J. Kulac'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 Ian J. Kulac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian J. Kulac more than expected).
Fields of papers citing papers by Ian J. Kulac
This network shows the impact of papers produced by Ian J. Kulac. 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 Ian J. Kulac. The network helps show where Ian J. Kulac may publish in the future.
Co-authorship network of co-authors of Ian J. Kulac
This figure shows the co-authorship network connecting the top 25 collaborators of Ian J. Kulac. A scholar is included among the top collaborators of Ian J. Kulac 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 Ian J. Kulac. Ian J. Kulac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Near-universal prevalence of central adiposity in heart failure with preserved ejection fraction: the PARAGON-HF trialbreakdown → | 35 |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 56 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 16 | |
| 17 | 13 | |
| 18 | 21 |
About Ian J. Kulac
Ian J. Kulac is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 18 papers that have together received 232 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (12 papers), Cardiovascular Function and Risk Factors (8 papers) and Hormonal Regulation and Hypertension (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (166 citations), Endocrinology, Diabetes and Metabolism (99 citations) and Nephrology (15 citations). Ian J. Kulac has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Brian Claggett, Scott D. Solomon, John J.V. McMurray, Muthiah Vaduganathan, Akshay S. Desai, Pardeep S. Jhund, Carolyn S.P. Lam, Zi Michael Miao, Sanjiv J. Shah and Adrian F. Hernandez. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Journal of the American Society of Nephrology.
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.