Earlene J. Kuck

14 total papers · 816 total citations
11 papers, 524 citations indexed

About

Earlene J. Kuck is a scholar working on Pulmonary and Respiratory Medicine, Nephrology and Anesthesiology and Pain Medicine. According to data from OpenAlex, Earlene J. Kuck has authored 11 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Nephrology and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Earlene J. Kuck's work include Renal function and acid-base balance (3 papers), Respiratory Support and Mechanisms (3 papers) and Neonatal Respiratory Health Research (2 papers). Earlene J. Kuck is often cited by papers focused on Renal function and acid-base balance (3 papers), Respiratory Support and Mechanisms (3 papers) and Neonatal Respiratory Health Research (2 papers). Earlene J. Kuck collaborates with scholars based in United States and Israel. Earlene J. Kuck's co-authors include Jerome H. Modell, C. Ian Hood, Charles P. Gibbs, James W. Wynne, Bruce C. Ruiz, C. Parker Gibbs, Shirley A. Graves, Daniel J. Schwartz, Hugh W. Calderwood and Wen-hsien Wu and has published in prestigious journals such as Journal of Applied Physiology, Anesthesiology and Anesthesia & Analgesia.

In The Last Decade

Earlene J. Kuck

11 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Earlene J. Kuck	204	192	175	124	104	11	524
Kristina Hambraeus-Jonzon	186 0.9×	226 1.2×	198 1.1×	47 0.4×	58 0.6×	12	492
Drew A. MacGregor	107 0.5×	61 0.3×	156 0.9×	85 0.7×	18 0.2×	29	480
Marie-Denise Schaller	386 1.9×	50 0.3×	123 0.7×	211 1.7×	13 0.1×	10	588
Jeremy Collins	209 1.0×	239 1.2×	261 1.5×	23 0.2×	72 0.7×	20	516
Alexander P. Nagle	165 0.8×	58 0.3×	419 2.4×	46 0.4×	31 0.3×	25	567
Paul L. Marino	147 0.7×	28 0.1×	138 0.8×	74 0.6×	11 0.1×	23	541
E. G. Lawes	229 1.1×	314 1.6×	159 0.9×	152 1.2×	18 0.2×	23	490
C. Sanft	279 1.4×	44 0.2×	262 1.5×	30 0.2×	113 1.1×	12	579
Gerald V. Goresky	52 0.3×	283 1.5×	249 1.4×	45 0.4×	27 0.3×	22	589
K. Barclay	114 0.6×	230 1.2×	78 0.4×	130 1.0×	9 0.1×	15	450

Countries citing papers authored by Earlene J. Kuck

Since Specialization

Citations

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

Fields of papers citing papers by Earlene J. Kuck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earlene J. Kuck. 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 Earlene J. Kuck. The network helps show where Earlene J. Kuck may publish in the future.

Co-authorship network of co-authors of Earlene J. Kuck

This figure shows the co-authorship network connecting the top 25 collaborators of Earlene J. Kuck. A scholar is included among the top collaborators of Earlene J. Kuck 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 Earlene J. Kuck. Earlene J. Kuck 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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