John T. Brosnan

164 papers receiving 9.0k citations

John T. Brosnan's Hit Papers

The Sulfur-Containing Amino Acids: An Overview 2006 · 873 citations
8730+6+13Years since publication250500750

Peers

John T. Brosnan
Comparison fields: 5 of 153
  • Clinical Biochemistry 2.1k
  • Biochemistry 1.2k
  • Rheumatology 2.1k
  • Cell Biology 1.7k
  • Physiology 2.4k
Replace Margaret E. Brosnan with:
Margaret E. Brosnan Canada
Dennis E. Vance Canada
Isabella Dalle‐Donne Italy
Ranieri Rossi Italy
Shelly C. Lu United States
Aldo Milzani Italy
Satish C. Kalhan United States
Dirk‐Jan Reijngoud Netherlands
Oliver H. Lowry United States
V. R. Young United States
John T. Brosnan relative to Margaret E. Brosnan Canada Margaret E. Brosnan's profile →
Citations per field
00.5×1.5×
Margaret E. Brosnan · 1×
Citations per year

Countries citing papers authored by John T. Brosnan

Since Specialization
Citations

This map shows the geographic impact of John T. Brosnan'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 T. Brosnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Brosnan more than expected).

Fields of papers citing papers by John T. Brosnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Sulfur-Containing Amino Acids: An Overview
Hit paper breakdown →
2006873
2 2006446
3 2012273
4 2007264
5 2003258
6 2006222
7 2011213
8 1992212
9 1970194
10 2020189
11 1995185
12 2000179
13 1990176
14 1998160
15 2009152
16 2001146
17 1970145
18 2007142
19 2004130
20 2008127

About John T. Brosnan

John T. Brosnan is a scholar working on Clinical Biochemistry, Molecular Biology, Rheumatology, Physiology and Biochemistry, having authored 166 papers that have together received 9.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (102 papers), Folate and B Vitamins Research (51 papers), Diet and metabolism studies (32 papers), Amino Acid Enzymes and Metabolism (32 papers), Muscle metabolism and nutrition (25 papers), Mitochondrial Function and Pathology (16 papers), Liver Disease Diagnosis and Treatment (15 papers) and Epigenetics and DNA Methylation (11 papers). The work is most often cited by research in Clinical Biochemistry (2.1k citations), Biochemistry (1.2k citations), Rheumatology (2.1k citations), Cell Biology (1.7k citations) and Physiology (2.4k citations). John T. Brosnan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Margaret E. Brosnan, René L. Jacobs, Lori M. Stead, Robin P. da Silva, D.A. Hems, Beatrice Hall, G Wu, Enoka P. Wijekoon, Dennis E. Vance and James D. House. Their work appears in journals such as Journal of Nutrition, Journal of Biological Chemistry, Biochemical Journal, American Journal of Physiology-Endocrinology and Metabolism and Canadian Journal of Physiology and Pharmacology.

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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