Leo V. DiCara

60 total papers · 1.4k total citations
39 papers, 998 citations indexed

About

Leo V. DiCara is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Leo V. DiCara has authored 39 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 8 papers in Behavioral Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Leo V. DiCara's work include Stress Responses and Cortisol (8 papers), Heart Rate Variability and Autonomic Control (8 papers) and Receptor Mechanisms and Signaling (5 papers). Leo V. DiCara is often cited by papers focused on Stress Responses and Cortisol (8 papers), Heart Rate Variability and Autonomic Control (8 papers) and Receptor Mechanisms and Signaling (5 papers). Leo V. DiCara collaborates with scholars based in United States. Leo V. DiCara's co-authors include Neal E. Miller, George Wolf, J. Jay Braun, Bruce A. Pappas, C. Wayne Simpson, M. R. D’Amato, Jay M. Weiss, Linda M. Wilson, Eric A. Stone and Jeremy D. Wilson and has published in prestigious journals such as Science, Life Sciences and Psychosomatic Medicine.

In The Last Decade

Leo V. DiCara

37 papers receiving 867 citations

Author Peers

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

Author Last Decade Papers Cites
Leo V. DiCara 291 211 208 156 142 39 998
James R. Sutterer 333 1.1× 89 0.4× 171 0.8× 119 0.8× 39 0.3× 24 828
Jaylan S. Turkkan 274 0.9× 165 0.8× 169 0.8× 76 0.5× 26 0.2× 50 1.0k
W. Horsley Gantt 305 1.0× 100 0.5× 244 1.2× 58 0.4× 37 0.3× 83 1.1k
Curt P. Richter 103 0.4× 119 0.6× 130 0.6× 59 0.4× 139 1.0× 32 872
Lee Ryan 611 2.1× 173 0.8× 67 0.3× 57 0.4× 44 0.3× 28 1.1k
Edward M. DeMet 201 0.7× 241 1.1× 56 0.3× 82 0.5× 123 0.9× 51 1.0k
Elske Vrieze 291 1.0× 132 0.6× 98 0.5× 228 1.5× 29 0.2× 43 1.2k
Béatrice Alescio‐Lautier 348 1.2× 205 1.0× 273 1.3× 125 0.8× 90 0.6× 41 988
Charles M. Barksdale 100 0.3× 168 0.8× 368 1.8× 512 3.3× 127 0.9× 29 1.1k
Kiseko Shionoya 176 0.6× 143 0.7× 343 1.6× 262 1.7× 95 0.7× 29 914

Countries citing papers authored by Leo V. DiCara

Since Specialization
Citations

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

Fields of papers citing papers by Leo V. DiCara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo V. DiCara. 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 Leo V. DiCara. The network helps show where Leo V. DiCara may publish in the future.

Co-authorship network of co-authors of Leo V. DiCara

This figure shows the co-authorship network connecting the top 25 collaborators of Leo V. DiCara. A scholar is included among the top collaborators of Leo V. DiCara 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 Leo V. DiCara. Leo V. DiCara 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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