J. Donlon

591 citations
18 papers · 463 · h-index 11

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 4
    • Identification and Quantification in Food 2
    • Biochemical effects in animals 2

J. Donlon

16 papers receiving 419 citations

Peers

J. Donlon
Comparison fields: 5 of 84
  • Aquatic Science 112
  • Clinical Biochemistry 49
  • Endocrine and Autonomic Systems 37
  • Global and Planetary Change 110
  • Cell Biology 70
Replace Mónica Lopes‐Marques with:
Mónica Lopes‐Marques Portugal
Daniel Munro Canada
T. Akiyama Japan
K Kellner France
Jack D. Herbert United States
S. R. Hootman United States
H. G. Ferreira Portugal
Janina Tokarz Germany
George A. Gerencser United States
Kazuharu Takeuchi Japan
J. Donlon relative to Mónica Lopes‐Marques Portugal Mónica Lopes‐Marques's profile →
Citations per field
00.5×2.7×
Mónica Lopes‐Marques · 1×
Citations per year

Countries citing papers authored by J. Donlon

Since Specialization
Citations

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

Fields of papers citing papers by J. Donlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1993110
2 197875
3 199144
4 200143
5 198043
6 200533
7 199523
8 197123
9 197323
10 197217
11 201611
12 20245
13 19795
14 19894
15 19832
16 19742
17 20250
18
Variant forms of phenylketonuria.
19810

About J. Donlon

J. Donlon is a scholar working on Molecular Biology, Physiology, Surgery, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis, having authored 18 papers that have together received 463 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (4 papers), Metabolism and Genetic Disorders (2 papers), Diet, Metabolism, and Disease (2 papers), Neuropeptides and Animal Physiology (2 papers), Marine Bivalve and Aquaculture Studies (2 papers), Identification and Quantification in Food (2 papers), Biochemical effects in animals (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Aquatic Science (112 citations), Clinical Biochemistry (49 citations), Endocrine and Autonomic Systems (37 citations), Global and Planetary Change (110 citations) and Cell Biology (70 citations). J. Donlon has collaborated with scholars based in Ireland, United States and Tanzania. Frequent co-authors include Seymour Kaufman, John P. Mercer, Kangsen Mai, P. F. Fottrell, J Arendt, James Horne, Marian Kane, Elizabeth Gosling, Yunus D. Mgaya and Dumitru Mazilu. Their work appears in journals such as Journal of Biological Chemistry, Veterinary Record, FEBS Letters, Aquaculture and SLEEP.

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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