J. Tinoco

1.7k citations
35 papers · 1.6k · h-index 23

Impact in

Papers in

J. Tinoco

35 papers receiving 1.4k citations

Peers

J. Tinoco
Comparison fields: 5 of 94
  • Biochemistry 394
  • Nutrition and Dietetics 729
  • Clinical Biochemistry 200
  • Aquatic Science 113
  • Molecular Biology 740
Replace Marion Barclay with:
Marion Barclay United States
Vladimir P. Skipski United States
F.N. LeBaron United States
A A Spector United States
G. Arvidson Sweden
F. D. Collins Australia
W. C. McMurray Canada
David W. Allmann United States
Huei-Che Chang United States
N Hemington Slovakia
J. Tinoco relative to Marion Barclay United States Marion Barclay's profile →
Citations per field
00.5×
Marion Barclay · 1×
Citations per year

Countries citing papers authored by J. Tinoco

Since Specialization
Citations

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

Fields of papers citing papers by J. Tinoco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside J. Tinoco, 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. Tinoco Line = papers co-authored together J. Tinoco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982334
2 1979117
3 1978113
4 197380
5 198772
6 197271
7 197169
8 197761
9 196858
10 196754
11 197145
12 197838
13 196736
14 196436
15 197035
16 196933
17 197332
18 198931
19 196528
20 198026

About J. Tinoco

J. Tinoco is a scholar working on Molecular Biology, Nutrition and Dietetics, Biochemistry, Clinical Biochemistry and Surgery, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Fatty Acid Research and Health (11 papers), Metabolism and Genetic Disorders (9 papers), Lipid Membrane Structure and Behavior (9 papers), Lipid metabolism and biosynthesis (8 papers), Cholesterol and Lipid Metabolism (5 papers), Folate and B Vitamins Research (4 papers) and Surfactants and Colloidal Systems (4 papers). The work is most often cited by research in Biochemistry (394 citations), Nutrition and Dietetics (729 citations), Clinical Biochemistry (200 citations), Aquatic Science (113 citations) and Molecular Biology (740 citations). J. Tinoco has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include R. Lee Lyman, Michael A. Williams, P. Miljanich, I. Hincenbergs, B. Medwadowski, Robert W. Evans, Sam Hopkins, D.J. McIntosh, Angela Shannon and Alec D. Keith. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Chemistry and Physics of Lipids, Journal of Nutrition, Lipids and Journal of Lipid Research.

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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