Lindsay Elbaum

47 total papers · 579 total citations
21 papers, 88 citations indexed

About

Lindsay Elbaum is a scholar working on Internal Medicine, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lindsay Elbaum has authored 21 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Internal Medicine, 10 papers in Epidemiology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lindsay Elbaum's work include Venous Thromboembolism Diagnosis and Management (15 papers), Acute Ischemic Stroke Management (7 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Lindsay Elbaum is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (15 papers), Acute Ischemic Stroke Management (7 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Lindsay Elbaum collaborates with scholars based in United States and Israel. Lindsay Elbaum's co-authors include Sripal Bangalore, Carlos L. Alviar, Robert Zhang, Vikramjit Mukherjee, Jeffrey S. Berger, Radu Postelnicu, Muhammad Haisum Maqsood, Eugene Yuriditsky, Norma Keller and Michael Nardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Lindsay Elbaum

17 papers receiving 88 citations

Author Peers

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

Author						Papers	Cites
Lindsay Elbaum	58	47	37	21	16	21	88
Ludovica Anna Cimini	96 1.7×	51 1.1×	43 1.2×	14 0.7×	20 1.3×	14	116
A. Rivas	61 1.1×	56 1.2×	8 0.2×	7 0.3×	19 1.2×	16	92
Esther Barbero	157 2.7×	101 2.1×	65 1.8×	19 0.9×	17 1.1×	18	222
Andrew H. Locke	48 0.8×	180 3.8×	48 1.3×	14 0.7×	29 1.8×	30	238
Dionne C.W. Braeken	18 0.3×	19 0.4×	64 1.7×	23 1.1×	19 1.2×	22	220
Covadonga Gómez‐Cuervo	86 1.5×	33 0.7×	24 0.6×	15 0.7×	47 2.9×	22	139
Florian Schönhoff	73 1.3×	114 2.4×	62 1.7×	22 1.0×	104 6.5×	22	240
Lucia Caiano	89 1.5×	57 1.2×	9 0.2×	32 1.5×	28 1.8×	12	113
Elena Arellano	25 0.4×	20 0.4×	47 1.3×	56 2.7×	27 1.7×	19	213
Mélanie Roussel	28 0.5×	12 0.3×	13 0.4×	5 0.2×	8 0.5×	23	103

Countries citing papers authored by Lindsay Elbaum

Since Specialization

Citations

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

Fields of papers citing papers by Lindsay Elbaum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lindsay Elbaum. 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 Lindsay Elbaum. The network helps show where Lindsay Elbaum may publish in the future.

Co-authorship network of co-authors of Lindsay Elbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Lindsay Elbaum. A scholar is included among the top collaborators of Lindsay Elbaum 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 Lindsay Elbaum. Lindsay Elbaum 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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