David Eric Searls

17 total papers · 931 total citations
15 papers, 655 citations indexed

About

David Eric Searls is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Eric Searls has authored 15 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 6 papers in Epidemiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Eric Searls's work include Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Acute Ischemic Stroke Management (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). David Eric Searls is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Acute Ischemic Stroke Management (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). David Eric Searls collaborates with scholars based in United States, China and United Kingdom. David Eric Searls's co-authors include Gottfried Schlaug, Magdy Selim, Louis R. Caplan, Richard Goddeau, Adel Alhazzani, Sandeep Kumar, Ajith J. Thomas, Min Lou, A. Safdar and Sudhesh Kumar and has published in prestigious journals such as Neurology, Scientific Reports and Medical Clinics of North America.

In The Last Decade

David Eric Searls

15 papers receiving 639 citations

Author Peers

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

Author						Papers	Cites
David Eric Searls	396	338	170	113	89	15	655
Jun Lee	220 0.6×	393 1.2×	217 1.3×	72 0.6×	90 1.0×	33	776
Leonhard Seyfang	181 0.5×	575 1.7×	216 1.3×	64 0.6×	165 1.9×	19	781
J.-L. Martí–Vilalta	159 0.4×	243 0.7×	149 0.9×	29 0.3×	59 0.7×	14	553
Miquel Balcells	223 0.6×	391 1.2×	252 1.5×	108 1.0×	25 0.3×	26	683
Ilaria Maestrini	159 0.4×	304 0.9×	61 0.4×	127 1.1×	49 0.6×	22	608
Yannie Soo	149 0.4×	275 0.8×	253 1.5×	51 0.5×	20 0.2×	18	586
Thomas Kimber	340 0.9×	246 0.7×	139 0.8×	26 0.2×	30 0.3×	28	585
Guntram W. Ickenstein	100 0.3×	259 0.8×	264 1.6×	90 0.8×	79 0.9×	25	766
Leila Rezai Gharai	257 0.6×	473 1.4×	284 1.7×	15 0.1×	91 1.0×	13	680
Chung‐Fen Tsai	307 0.8×	267 0.8×	150 0.9×	40 0.4×	46 0.5×	18	737

Countries citing papers authored by David Eric Searls

Since Specialization

Citations

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

Fields of papers citing papers by David Eric Searls

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Eric Searls

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