C. Kennedy

6.2k citations
118 papers · 4.7k · h-index 41

Impact in

  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Eicosanoids and Hypertension Pharmacology

Papers in

C. Kennedy

115 papers receiving 4.6k citations

Peers

C. Kennedy
Comparison fields: 5 of 133
  • Nephrology 955
  • Biochemistry 402
  • Clinical Biochemistry 277
  • Pharmacology 547
  • Immunology 571
Replace Richard Hébert with:
Richard Hébert Canada
Mary E. Choi United States
Li Xiao China
Jingqiu Cheng China
Shougang Zhuang United States
Xian Wang China
Chengyuan Tang China
Wilfred Lieberthal United States
Isao Matsui Japan
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C. Kennedy relative to Richard Hébert Canada Richard Hébert's profile →
Citations per field
00.5×
Richard Hébert · 1×
Citations per year

Countries citing papers authored by C. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by C. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Kennedy, 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 C. Kennedy Line = papers co-authored together C. Kennedy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999335
2 2010328
3 2012135
4 2009135
5 1990129
6 2000125
7 2003123
8 2017122
9 2006122
10 1992122
11 2014114
12 2008114
13 2013110
14 1986100
15 201290
16 200989
17 201485
18 200484
19 201878
20 200276

About C. Kennedy

C. Kennedy is a scholar working on Molecular Biology, Nephrology, Genetics, Cardiology and Cardiovascular Medicine and Physiology, having authored 118 papers that have together received 4.7k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (30 papers), Chronic Kidney Disease and Diabetes (20 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers), Nitric Oxide and Endothelin Effects (11 papers), Inflammatory mediators and NSAID effects (11 papers), Metalloenzymes and iron-sulfur proteins (11 papers) and Renin-Angiotensin System Studies (10 papers). The work is most often cited by research in Nephrology (955 citations), Biochemistry (402 citations), Clinical Biochemistry (277 citations), Pharmacology (547 citations) and Immunology (571 citations). C. Kennedy has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Rhian M. Touyz, Kevin D. Burns, Chet E. Holterman, Richard Hébert, Aresa Toukdarian, Jean-François Thibodeau, Dylan Burger, Augusto C. Montezano, Mona Sedeek and Alex Gutsol. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, PLoS ONE, Clinical Science and Diabetes.

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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