Daniel D. Kinnamon

2.4k citations
26 papers · 1.2k · h-index 14

Impact in

Papers in

    • Cardiomyopathy and Myosin Studies 6
    • Cardiovascular Effects of Exercise 2
    • Genetic Associations and Epidemiology 4
    • BRCA gene mutations in cancer 2
    • Genomic variations and chromosomal abnormalities 2

Daniel D. Kinnamon

24 papers receiving 1.2k citations

Peers

Daniel D. Kinnamon
Comparison fields: 5 of 81
  • Pediatrics, Perinatology and Child Health 507
  • Urology 152
  • Clinical Biochemistry 92
  • Neurology 130
  • Genetics 70
Replace Handan Çakmakçı with:
Handan Çakmakçı Türkiye
J. Bruce United States
B Boscherini Italy
Piero Pirazzoli Italy
Ianina Scheer Switzerland
Stephanie Ryan Ireland
Hatice Akay Türkiye
Paola Drigo Italy
Marie Cassart Belgium
Ettore Piro Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniel D. Kinnamon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Kinnamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006314
2 2007207
3 2006175
4 2005163
5 201050
6 200850
7 202149
8 201349
9 201230
10 201029
11 200817
12 200517
13 201014
14 201814
15 202013
16 201913
17 20068
18 20074
19 20143
20 20243

About Daniel D. Kinnamon

Daniel D. Kinnamon is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (6 papers), Genetic Associations and Epidemiology (4 papers), RNA Research and Splicing (3 papers), Cardiovascular Effects of Exercise (2 papers), BRCA gene mutations in cancer (2 papers), Genomic variations and chromosomal abnormalities (2 papers), RNA and protein synthesis mechanisms (2 papers) and HIV-related health complications and treatments (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (507 citations), Urology (152 citations), Clinical Biochemistry (92 citations), Neurology (130 citations) and Genetics (70 citations). Daniel D. Kinnamon has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Richard S. Lee, Marc Cendron, Hiep T. Nguyen, Susan E. Waisbren, Ray E. Hershberger, Eden R. Martin, Joseph J. Volpe, Carol B. Benson, Steven A. Ringer and Catherine Limperopoulos. Their work appears in journals such as PEDIATRICS, Neurology, Circulation Genomic and Precision Medicine, JAMA Cardiology and The Journal of Pediatrics.

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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