Steven J. Kern

43 total papers · 2.5k total citations
32 papers, 1.6k citations indexed

About

Steven J. Kern is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steven J. Kern has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steven J. Kern's work include Burkholderia infections and melioidosis (4 papers), Hemoglobin structure and function (4 papers) and Sepsis Diagnosis and Treatment (3 papers). Steven J. Kern is often cited by papers focused on Burkholderia infections and melioidosis (4 papers), Hemoglobin structure and function (4 papers) and Sepsis Diagnosis and Treatment (3 papers). Steven J. Kern collaborates with scholars based in United States, Germany and China. Steven J. Kern's co-authors include Charles Natanson, Steven M. Banks, Peter Lurie, Sidney M. Wolfe, Robert L. Danner, Anthony F. Suffredini, Peter C. Minneci, Peter Q. Eichacker, Xizhong Cui and Pawel Muranski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Steven J. Kern

32 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Steven J. Kern 415 367 318 287 246 32 1.6k
Calvin A. Saravis 420 1.0× 155 0.4× 205 0.6× 156 0.5× 152 0.6× 60 1.5k
Fritz Fiedler 537 1.3× 186 0.5× 293 0.9× 436 1.5× 184 0.7× 56 1.8k
Steven B. Solomon 319 0.8× 198 0.5× 245 0.8× 66 0.2× 197 0.8× 62 2.2k
Kirit Patel 499 1.2× 228 0.6× 182 0.6× 268 0.9× 326 1.3× 57 2.1k
Gail Thurman 328 0.8× 235 0.6× 79 0.2× 103 0.4× 527 2.1× 32 1.3k
Hans Flodgaard 617 1.5× 149 0.4× 369 1.2× 105 0.4× 524 2.1× 44 1.9k
Daniel R. Ambruso 176 0.4× 409 1.1× 190 0.6× 81 0.3× 303 1.2× 46 2.3k
G M Vercellotti 675 1.6× 214 0.6× 481 1.5× 150 0.5× 345 1.4× 33 2.0k
W. Hallowell Churchill 382 0.9× 90 0.2× 180 0.6× 266 0.9× 658 2.7× 40 2.0k
Ângelo Ferreira Chora 1.2k 2.9× 271 0.7× 174 0.5× 76 0.3× 394 1.6× 21 2.1k

Countries citing papers authored by Steven J. Kern

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven J. Kern

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