James C. Kisicki

33 total papers · 969 total citations
28 papers, 787 citations indexed

About

James C. Kisicki is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, James C. Kisicki has authored 28 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Epidemiology. Recurrent topics in James C. Kisicki's work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Pain Management and Opioid Use (3 papers) and Respiratory and Cough-Related Research (3 papers). James C. Kisicki is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (5 papers), Pain Management and Opioid Use (3 papers) and Respiratory and Cough-Related Research (3 papers). James C. Kisicki collaborates with scholars based in United States, Switzerland and United Kingdom. James C. Kisicki's co-authors include Cynthia Mattia‐Goldberg, Rajesh Agarwal, Elaine K. Daily, R Baughman, Garret A. FitzGerald, Shiv Kapoor, Francesca Catella-Lawson, Robert J. Przybelski, Wayne A. Colburn and S J Bannister and has published in prestigious journals such as Circulation, Journal of Allergy and Clinical Immunology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

James C. Kisicki

27 papers receiving 713 citations

Author Peers

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

Author Last Decade Papers Cites
James C. Kisicki 167 148 116 106 91 28 787
Amarjit S. Arneja 167 1.0× 224 1.5× 97 0.8× 72 0.7× 39 0.4× 18 797
P Zech 89 0.5× 127 0.9× 50 0.4× 75 0.7× 80 0.9× 56 749
Burton D. Cohen 86 0.5× 114 0.8× 119 1.0× 44 0.4× 61 0.7× 32 802
William H. Waugh 107 0.6× 125 0.8× 73 0.6× 36 0.3× 84 0.9× 29 830
Carolyn S. Feldkamp 176 1.1× 203 1.4× 56 0.5× 35 0.3× 42 0.5× 24 897
Paul F. Gulyassy 126 0.8× 253 1.7× 109 0.9× 48 0.5× 83 0.9× 36 802
Egı́dio Lima Dórea 245 1.5× 102 0.7× 54 0.5× 37 0.3× 32 0.4× 40 707
Simon W. Walker 146 0.9× 280 1.9× 39 0.3× 46 0.4× 43 0.5× 44 887
D Maruhn 47 0.3× 201 1.4× 48 0.4× 91 0.9× 79 0.9× 30 699
Lingyun Zhou 77 0.5× 239 1.6× 46 0.4× 46 0.4× 53 0.6× 53 812

Countries citing papers authored by James C. Kisicki

Since Specialization
Citations

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

Fields of papers citing papers by James C. Kisicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Kisicki. 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 James C. Kisicki. The network helps show where James C. Kisicki may publish in the future.

Co-authorship network of co-authors of James C. Kisicki

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Kisicki. A scholar is included among the top collaborators of James C. Kisicki 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 James C. Kisicki. James C. Kisicki 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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