Patrick McKenna

3.9k citations
86 papers · 3.1k · h-index 28

Impact in

    • Nonlinear Partial Differential Equations
    • Nonlinear Differential Equations Analysis
  • Urology top 5%
    • Urinary Bladder and Prostate Research

Papers in

Patrick McKenna

79 papers receiving 2.8k citations

Peers

Patrick McKenna
Comparison fields: 5 of 101
  • Applied Mathematics 586
  • Urology 89
  • Biochemistry 52
  • Cardiology and Cardiovascular Medicine 222
  • Microbiology 52
Replace Connie C. W. Hsia with:
Connie C. W. Hsia United States
Florian Frommlet Austria
Michael D. Hughson United States
J. D. Crapo United States
W. Mark Elliott Canada
Kevin V. Lemley United States
Adalbert Bohle Germany
Carlo M. Pesce Italy
Joan Gil United States
Jae Wook Kim South Korea
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Citations per field
00.5×5×12.2×
Connie C. W. Hsia · 1×
Citations per year

Countries citing papers authored by Patrick McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Patrick McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick McKenna. 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 Patrick McKenna. The network helps show where Patrick McKenna may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick McKenna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick McKenna Line = papers co-authored together Patrick McKenna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992436
2 1994237
3 1990159
4 2010148
5 1994142
6 1993122
7 1994120
8 1997113
9 199296
10 198791
11 199987
12 198485
13 199285
14 198375
15 199472
16 199470
17 197366
18 200166
19 199463
20 198654

About Patrick McKenna

Patrick McKenna is a scholar working on Applied Mathematics, Biochemistry, Immunology, Control and Systems Engineering and Pathology and Forensic Medicine, having authored 86 papers that have together received 3.1k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (11 papers), Vibration and Dynamic Analysis (5 papers), Nonlinear Differential Equations Analysis (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Nonlinear Waves and Solitons (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Matrix Theory and Algorithms (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Applied Mathematics (586 citations), Urology (89 citations), Biochemistry (52 citations), Cardiology and Cardiovascular Medicine (222 citations) and Microbiology (52 citations). Patrick McKenna has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan C. Lazer, Wolfgang L. Walter, Juan-Li Gu, G. Z. FEUERSTEIN, Paul G. Lysko, Giora Feuerstein, Y. S. Choi, Kathryn A. Lysko, Robert R. Ruffolo Jr. and Tianli Yue. Their work appears in journals such as Cancer, Nonlinear Analysis, Journal of Computational and Applied Mathematics, European Journal of Pharmacology and Differential and Integral Equations.

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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