Lawrence D. Ramunno

8 total papers · 432 total citations
4 papers, 343 citations indexed

About

Lawrence D. Ramunno is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Lawrence D. Ramunno has authored 4 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in General Health Professions and 2 papers in Economics and Econometrics. Recurrent topics in Lawrence D. Ramunno's work include Healthcare Policy and Management (2 papers), Acute Myocardial Infarction Research (2 papers) and Heart Failure Treatment and Management (2 papers). Lawrence D. Ramunno is often cited by papers focused on Healthcare Policy and Management (2 papers), Acute Myocardial Infarction Research (2 papers) and Heart Failure Treatment and Management (2 papers). Lawrence D. Ramunno collaborates with scholars based in United States and United Kingdom. Lawrence D. Ramunno's co-authors include Neal D. Traven, Hebe B. Quinton, John E. Wennberg, Thomas A. Marciniak, Allen Ma, Susan Atamian, Elizabeth Mort, Paul McGann, Xiu Liu and Gregg S. Meyer and has published in prestigious journals such as JAMA, Annals of Internal Medicine and BMJ Quality & Safety.

In The Last Decade

Lawrence D. Ramunno

4 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Lawrence D. Ramunno	150	142	123	42	41	4	343
Doug Einstadter	86 0.6×	122 0.9×	125 1.0×	46 1.1×	86 2.1×	10	330
Stephen Skorcz	108 0.7×	94 0.7×	261 2.1×	66 1.6×	40 1.0×	8	398
Elizabeth Mackay	110 0.7×	126 0.9×	116 0.9×	19 0.5×	24 0.6×	11	337
Robert Parrish	105 0.7×	83 0.6×	202 1.6×	63 1.5×	32 0.8×	7	325
Jean-Blaise Wasserfallen	71 0.5×	94 0.7×	94 0.8×	29 0.7×	85 2.1×	6	386
James J. Holloway	133 0.9×	155 1.1×	100 0.8×	25 0.6×	106 2.6×	13	370
Matthew Thorne	60 0.4×	85 0.6×	79 0.6×	24 0.6×	68 1.7×	6	319
Mark Weiner	102 0.7×	104 0.7×	114 0.9×	24 0.6×	112 2.7×	13	371
Alison Truman	126 0.8×	183 1.3×	88 0.7×	33 0.8×	14 0.3×	7	373
Lauren L. Hochman	88 0.6×	113 0.8×	53 0.4×	35 0.8×	93 2.3×	13	368

Countries citing papers authored by Lawrence D. Ramunno

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence D. Ramunno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence D. Ramunno. 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 Lawrence D. Ramunno. The network helps show where Lawrence D. Ramunno may publish in the future.

Co-authorship network of co-authors of Lawrence D. Ramunno

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence D. Ramunno. A scholar is included among the top collaborators of Lawrence D. Ramunno 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 Lawrence D. Ramunno. Lawrence D. Ramunno 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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