David J. De La Zerda

31 total papers · 1.6k total citations
10 papers, 173 citations indexed

About

David J. De La Zerda is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David J. De La Zerda has authored 10 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David J. De La Zerda's work include Infective Endocarditis Diagnosis and Management (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Organ Transplantation Techniques and Outcomes (2 papers). David J. De La Zerda is often cited by papers focused on Infective Endocarditis Diagnosis and Management (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Organ Transplantation Techniques and Outcomes (2 papers). David J. De La Zerda collaborates with scholars based in United States and Australia. David J. De La Zerda's co-authors include Hillel Laks, Oved Cohen, Aaron B. Waxman, Sandeep Sahay, Hilary M. DuBrock, Peter Smith, Shilpa Johri, Ramin E. Beygui, Eric Shen and Victor F. Tapson and has published in prestigious journals such as The Journal of Physiology, Transplantation and The Lancet Respiratory Medicine.

In The Last Decade

David J. De La Zerda

10 papers receiving 168 citations

Author Peers

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

Author						Papers	Cites
David J. De La Zerda	114	56	46	34	26	10	173
M. Jonas	74 0.6×	98 1.8×	67 1.5×	15 0.4×	16 0.6×	10	205
Majid Mughal	181 1.6×	108 1.9×	64 1.4×	36 1.1×	26 1.0×	10	235
Jegen Kandasamy	162 1.4×	107 1.9×	14 0.3×	57 1.7×	9 0.3×	9	223
Luigi G. Franciosi	159 1.4×	64 1.1×	19 0.4×	30 0.9×	84 3.2×	10	271
Karen Walson	52 0.5×	28 0.5×	13 0.3×	52 1.5×	25 1.0×	11	215
Gert-Jan Scheffer	143 1.3×	50 0.9×	31 0.7×	21 0.6×	9 0.3×	10	234
Aída Selfa Muñoz	107 0.9×	20 0.4×	9 0.2×	12 0.4×	49 1.9×	14	165
Andrew B. Baker	42 0.4×	68 1.2×	9 0.2×	16 0.5×	45 1.7×	14	179
Anna Błach	34 0.3×	9 0.2×	47 1.0×	24 0.7×	32 1.2×	17	196
Bryan Dias	164 1.4×	27 0.5×	114 2.5×	99 2.9×	6 0.2×	10	256

Countries citing papers authored by David J. De La Zerda

Since Specialization

Citations

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

Fields of papers citing papers by David J. De La Zerda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. De La Zerda. 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 David J. De La Zerda. The network helps show where David J. De La Zerda may publish in the future.

Co-authorship network of co-authors of David J. De La Zerda

This figure shows the co-authorship network connecting the top 25 collaborators of David J. De La Zerda. A scholar is included among the top collaborators of David J. De La Zerda 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 David J. De La Zerda. David J. De La Zerda 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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