David S. Kushner

68 total papers · 1.1k total citations
44 papers, 738 citations indexed

About

David S. Kushner is a scholar working on Epidemiology, Neurology and Genetics. According to data from OpenAlex, David S. Kushner has authored 44 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 10 papers in Neurology and 6 papers in Genetics. Recurrent topics in David S. Kushner's work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Traumatic Brain Injury Research (7 papers) and Dysphagia Assessment and Management (4 papers). David S. Kushner is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Traumatic Brain Injury Research (7 papers) and Dysphagia Assessment and Management (4 papers). David S. Kushner collaborates with scholars based in United States and South Korea. David S. Kushner's co-authors include Christina Amidei, Doug Johnson‐Greene, Michael D. Resnik, Kenneth M. Peters, Douglas Johnson‐Greene, James W. Fisher, John W. Verano, Steven Chen, Janet C. Rice and Fred E. Husserl and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

David S. Kushner

41 papers receiving 670 citations

Author Peers

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

Author						Papers	Cites
David S. Kushner	262	187	119	118	106	44	738
Bernd Kallmünzer	391 1.5×	245 1.3×	82 0.7×	65 0.6×	67 0.6×	60	896
Nicolas Krawiecki	158 0.6×	99 0.5×	80 0.7×	45 0.4×	66 0.6×	22	811
Lester Y. Leung	343 1.3×	177 0.9×	176 1.5×	48 0.4×	72 0.7×	40	837
Lyell K. Jones	164 0.6×	281 1.5×	64 0.5×	100 0.8×	163 1.5×	69	838
Charles R. Smith	70 0.3×	123 0.7×	154 1.3×	54 0.5×	150 1.4×	24	760
Dulaney A. Wilson	166 0.6×	65 0.3×	66 0.6×	111 0.9×	106 1.0×	63	893
Mona D. Shah	265 1.0×	168 0.9×	82 0.7×	21 0.2×	100 0.9×	38	785
Elizabeth L. Perkins	127 0.5×	96 0.5×	125 1.1×	15 0.1×	80 0.8×	72	867
Frédéric Dailler	249 1.0×	270 1.4×	94 0.8×	179 1.5×	228 2.2×	56	904
Maura E. Ryan	55 0.2×	86 0.5×	33 0.3×	91 0.8×	150 1.4×	40	655

Countries citing papers authored by David S. Kushner

Since Specialization

Citations

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

Fields of papers citing papers by David S. Kushner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Kushner. 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 S. Kushner. The network helps show where David S. Kushner may publish in the future.

Co-authorship network of co-authors of David S. Kushner

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Kushner. A scholar is included among the top collaborators of David S. Kushner 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 S. Kushner. David S. Kushner 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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