John Cuomo

11 papers receiving 401 citations

Peers

John Cuomo
Comparison fields: 5 of 79
  • Molecular Medicine 227
  • Biochemistry 40
  • Pharmacology 74
  • Pharmaceutical Science 25
  • Pathology and Forensic Medicine 70
Replace Toni McKinnon with:
Toni McKinnon United States
Azam Rezaei Farimani Iran
Bijan Helli Iran
Y Fujiyama Japan
Faeze Keihanian Iran
Somjai Nakornchai Thailand
Saeede Saadati Iran
Elvy Suhana Mohd Ramli Malaysia
Chitra Khanwelkar India
Davood Soleimani Iran
John Cuomo relative to Toni McKinnon United States Toni McKinnon's profile →
Citations per field
00.5×1.7×
Toni McKinnon · 1×
Citations per year

Countries citing papers authored by John Cuomo

Since Specialization
Citations

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

Fields of papers citing papers by John Cuomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2011288
2 201259
3 200631
4 201418
5
A comparative pilot study of the effects of a dentifrice containing green tea bioflavonoids, sanguinarine or triclosan on oral bacterial biofilm formation.
200014
6 19855
7 20074
8
Comparative Bioavailability of Coenzyme Q 10 in Four Formulations
20003
9 20092
10 20191
11
Bioavailability of Silicon from Three Sources
20001

About John Cuomo

John Cuomo is a scholar working on Pathology and Forensic Medicine, Physiology, Nutrition and Dietetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 426 indexed citations. Recurring topics across this work include Vitamin D Research Studies (3 papers), Vitamin C and Antioxidants Research (3 papers), Antioxidant Activity and Oxidative Stress (2 papers), Biochemical effects in animals (1 paper), Obesity and Health Practices (1 paper), Coenzyme Q10 studies and effects (1 paper), Heavy Metal Exposure and Toxicity (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Molecular Medicine (227 citations), Biochemistry (40 citations), Pharmacology (74 citations), Pharmaceutical Science (25 citations) and Pathology and Forensic Medicine (70 citations). John Cuomo has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Toni McKinnon, Brian Dixon, Erik Schneider, Giovanni Appendino, Mark J. Brown, Stefano Togni, Alexander Rabovsky, Tyler Barker, Balz Frei and Niels Borregaard. Their work appears in journals such as Journal of Agricultural and Food Chemistry, European Journal of Clinical Nutrition, Journal of Natural Products, The FASEB Journal and Clinica Chimica Acta.

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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