Joseph R. Cava

51 total papers · 1.8k total citations
36 papers, 1.3k citations indexed

About

Joseph R. Cava is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Joseph R. Cava has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 18 papers in Cardiology and Cardiovascular Medicine and 17 papers in Epidemiology. Recurrent topics in Joseph R. Cava's work include Congenital Heart Disease Studies (16 papers), Cardiac Valve Diseases and Treatments (10 papers) and Aortic Disease and Treatment Approaches (8 papers). Joseph R. Cava is often cited by papers focused on Congenital Heart Disease Studies (16 papers), Cardiac Valve Diseases and Treatments (10 papers) and Aortic Disease and Treatment Approaches (8 papers). Joseph R. Cava collaborates with scholars based in United States, Switzerland and Canada. Joseph R. Cava's co-authors include James S. Tweddell, Nancy S. Ghanayem, George M. Hoffman, Robert D.B. Jaquiss, Kathleen Mussatto, K. Dale Noel, Peter C. Frommelt, Per Elias, Michelle Steltzer and S. Bert Litwin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Bacteriology.

In The Last Decade

Joseph R. Cava

36 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Joseph R. Cava	683	558	517	394	179	36	1.3k
Volker Schoder	546 0.8×	414 0.7×	672 1.3×	151 0.4×	78 0.4×	34	1.8k
Cheryl L. Reid	322 0.5×	370 0.7×	244 0.5×	982 2.5×	234 1.3×	57	1.6k
Ricardo Muñoz	265 0.4×	309 0.6×	272 0.5×	259 0.7×	67 0.4×	47	1.4k
Lars Heslet	479 0.7×	438 0.8×	313 0.6×	333 0.8×	12 0.1×	42	1.4k
Kevin S. Roman	642 0.9×	378 0.7×	459 0.9×	515 1.3×	17 0.1×	38	1.1k
Jingyuan Feng	204 0.3×	1.1k 2.0×	303 0.6×	504 1.3×	17 0.1×	28	1.7k
Hugh J. Williams	88 0.1×	406 0.7×	928 1.8×	157 0.4×	69 0.4×	37	1.4k
Eirik Nestaas	563 0.8×	169 0.3×	316 0.6×	329 0.8×	10 0.1×	43	1.2k
J. Stephan Stapczynski	182 0.3×	278 0.5×	131 0.3×	192 0.5×	42 0.2×	28	1.3k
C. Ian Hood	267 0.4×	342 0.6×	466 0.9×	70 0.2×	14 0.1×	48	1.5k

Countries citing papers authored by Joseph R. Cava

Since Specialization

Citations

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

Fields of papers citing papers by Joseph R. Cava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph R. Cava. 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 Joseph R. Cava. The network helps show where Joseph R. Cava may publish in the future.

Co-authorship network of co-authors of Joseph R. Cava

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph R. Cava. A scholar is included among the top collaborators of Joseph R. Cava 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 Joseph R. Cava. Joseph R. Cava 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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