Ian J. Kulac

42 total papers · 919 total citations
18 papers, 222 citations indexed

About

Ian J. Kulac is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Ian J. Kulac has authored 18 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 11 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Nephrology. Recurrent topics in Ian J. Kulac's work include Heart Failure Treatment and Management (12 papers), Cardiovascular Function and Risk Factors (8 papers) and Hormonal Regulation and Hypertension (6 papers). Ian J. Kulac is often cited by papers focused on Heart Failure Treatment and Management (12 papers), Cardiovascular Function and Risk Factors (8 papers) and Hormonal Regulation and Hypertension (6 papers). Ian J. Kulac collaborates with scholars based in United States, United Kingdom and Singapore. Ian J. Kulac's co-authors include Brian Claggett, Scott D. Solomon, Muthiah Vaduganathan, John J.V. McMurray, Akshay S. Desai, Pardeep S. Jhund, Carolyn S.P. Lam, Adrian F. Hernandez, Zi Michael Miao and Sanjiv J. Shah and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of the American Society of Nephrology.

In The Last Decade

Ian J. Kulac

15 papers receiving 216 citations

Hit Papers

Near-universal prevalence... 2025 2026 2025 10 20 30

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ian J. Kulac 160 94 30 28 23 18 222
Hongxuan Fan 88 0.6× 75 0.8× 28 0.9× 19 0.7× 22 1.0× 23 228
Thai Ac 82 0.5× 104 1.1× 23 0.8× 24 0.9× 50 2.2× 19 260
G. D. Braatvedt 115 0.7× 110 1.2× 16 0.5× 23 0.8× 47 2.0× 15 282
Hans Hillege 222 1.4× 42 0.4× 38 1.3× 25 0.9× 27 1.2× 13 296
Qirui Song 127 0.8× 112 1.2× 25 0.8× 16 0.6× 37 1.6× 15 252
Huilei Zhao 152 0.9× 136 1.4× 37 1.2× 14 0.5× 45 2.0× 16 328
E. Andrikou 134 0.8× 97 1.0× 32 1.1× 32 1.1× 45 2.0× 24 274
Yongkang Su 134 0.8× 94 1.0× 41 1.4× 18 0.6× 33 1.4× 18 279
Marco Vatrano 156 1.0× 138 1.5× 80 2.7× 17 0.6× 21 0.9× 23 313
Bokai Cheng 91 0.6× 66 0.7× 32 1.1× 12 0.4× 27 1.2× 16 220

Countries citing papers authored by Ian J. Kulac

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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