Jeffrey D. Klinger

67 total papers · 2.9k total citations
57 papers, 2.2k citations indexed

About

Jeffrey D. Klinger is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Jeffrey D. Klinger has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Pulmonary and Respiratory Medicine and 16 papers in Epidemiology. Recurrent topics in Jeffrey D. Klinger's work include Cystic Fibrosis Research Advances (16 papers), Antibiotic Resistance in Bacteria (14 papers) and Bacterial biofilms and quorum sensing (12 papers). Jeffrey D. Klinger is often cited by papers focused on Cystic Fibrosis Research Advances (16 papers), Antibiotic Resistance in Bacteria (14 papers) and Bacterial biofilms and quorum sensing (12 papers). Jeffrey D. Klinger collaborates with scholars based in United States, Canada and Myanmar. Jeffrey D. Klinger's co-authors include Robert C. Stern, Mary Jane Thomassen, Donald A. Goldmann, Catherine Demko, Stephen C. Aronoff, Howard A. Cash, Dorr G. Dearborn, Carl F. Doershuk, David C. Straus and J A Bass and has published in prestigious journals such as Journal of Clinical Investigation, Clinical Infectious Diseases and Biophysical Journal.

In The Last Decade

Jeffrey D. Klinger

56 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey D. Klinger 1.0k 655 466 351 315 57 2.2k
T L Stull 556 0.5× 622 0.9× 782 1.7× 331 0.9× 134 0.4× 37 2.6k
Damien Roux 710 0.7× 947 1.4× 456 1.0× 462 1.3× 103 0.3× 91 2.8k
François Guérin 659 0.6× 430 0.7× 768 1.6× 698 2.0× 213 0.7× 129 2.7k
Valerie Waters 976 1.0× 1.0k 1.6× 403 0.9× 488 1.4× 68 0.2× 62 2.2k
K Yamaguchi 284 0.3× 518 0.8× 608 1.3× 449 1.3× 378 1.2× 87 2.1k
Peter Fleming 789 0.8× 530 0.8× 325 0.7× 399 1.1× 211 0.7× 42 3.3k
María D. Macià 521 0.5× 1.5k 2.3× 335 0.7× 1.3k 3.7× 343 1.1× 42 2.7k
Ersilia Fiscarelli 528 0.5× 1.2k 1.9× 450 1.0× 338 1.0× 65 0.2× 72 2.4k
Hironobu Koga 329 0.3× 432 0.7× 1.1k 2.3× 307 0.9× 265 0.8× 127 2.3k
Kangmin Duan 559 0.6× 1.7k 2.6× 258 0.6× 586 1.7× 74 0.2× 72 2.8k

Countries citing papers authored by Jeffrey D. Klinger

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Klinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Klinger. 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 Jeffrey D. Klinger. The network helps show where Jeffrey D. Klinger may publish in the future.

Co-authorship network of co-authors of Jeffrey D. Klinger

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Klinger. A scholar is included among the top collaborators of Jeffrey D. Klinger 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 Jeffrey D. Klinger. Jeffrey D. Klinger 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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2026