Ed W. Childs

105 total papers · 1.8k total citations
82 papers, 1.5k citations indexed

About

Ed W. Childs is a scholar working on Molecular Biology, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ed W. Childs has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 17 papers in Surgery and 17 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ed W. Childs's work include Trauma, Hemostasis, Coagulopathy, Resuscitation (14 papers), Heme Oxygenase-1 and Carbon Monoxide (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Ed W. Childs is often cited by papers focused on Trauma, Hemostasis, Coagulopathy, Resuscitation (14 papers), Heme Oxygenase-1 and Carbon Monoxide (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Ed W. Childs collaborates with scholars based in United States, Switzerland and Saudi Arabia. Ed W. Childs's co-authors include Felicia A. Hunter, Binu Tharakan, Kahdi F. Udobi, W. Roy Smythe, John H. Tinsley, David M. Smalley, Laurence Y. Cheung, David C. Zawieja, James A. Kruse and Ronny Otero and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Immunology and The Journal of Physical Chemistry B.

In The Last Decade

Ed W. Childs

82 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Ed W. Childs	421	301	299	289	191	82	1.5k
Yuhang Ai	416 1.0×	461 1.5×	417 1.4×	156 0.5×	118 0.6×	81	1.6k
Doraid Jarrar	325 0.8×	217 0.7×	492 1.6×	191 0.7×	100 0.5×	43	1.7k
Ihab Halaweish	443 1.1×	237 0.8×	156 0.5×	529 1.8×	131 0.7×	70	1.5k
Kyung Su Kim	185 0.4×	167 0.6×	265 0.9×	239 0.8×	168 0.9×	98	1.2k
Michael Hultström	297 0.7×	193 0.6×	276 0.9×	162 0.6×	96 0.5×	114	1.7k
Yue Wu	626 1.5×	102 0.3×	290 1.0×	132 0.5×	80 0.4×	66	1.5k
Søren Erik Pischke	511 1.2×	125 0.4×	263 0.9×	328 1.1×	91 0.5×	67	1.6k
Brian T. Kalish	374 0.9×	99 0.3×	456 1.5×	425 1.5×	71 0.4×	53	1.7k
Brian Casserly	417 1.0×	234 0.8×	631 2.1×	241 0.8×	47 0.2×	55	1.7k
Kenneth G. Proctor	191 0.5×	566 1.9×	251 0.8×	431 1.5×	53 0.3×	98	1.6k

Countries citing papers authored by Ed W. Childs

Since Specialization

Citations

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

Fields of papers citing papers by Ed W. Childs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ed W. Childs. 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 Ed W. Childs. The network helps show where Ed W. Childs may publish in the future.

Co-authorship network of co-authors of Ed W. Childs

This figure shows the co-authorship network connecting the top 25 collaborators of Ed W. Childs. A scholar is included among the top collaborators of Ed W. Childs 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 Ed W. Childs. Ed W. Childs 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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