John J. Hutton

128 papers receiving 5k citations

Peers

John J. Hutton
Comparison fields: 5 of 143
  • Genetics 412
  • Pharmacology 341
  • Immunology 686
  • Molecular Biology 2.2k
  • Biomaterials 357
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M. Micksche Austria
Ira M. Goldstein United States
Zhiqiang Liu China
Ursula Müller‐Eberhard United States
Sérgio Paulo Bydlowski Brazil
Thomas Wieder Germany
Arnold B. Rabson United States
Timothy Martin Cox United Kingdom
Farzin Farzaneh United Kingdom
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Citations per year

Countries citing papers authored by John J. Hutton

Since Specialization
Citations

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

Fields of papers citing papers by John J. Hutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966301
2 1967273
3 1978255
4 1981188
5 1978181
6 1967169
7 1972168
8
Fludarabine monophosphate: a potentially useful agent in chronic lymphocytic leukemia.
1988164
9 1966134
10 1986132
11 1974122
12 1970105
13 1972102
14 198097
15 199297
16
Serial observations on terminal deoxynucleotidyl transferase activity and lymphoblast surface markers in acute lymphoblastic leukemia.
197696
17 197187
18 197886
19 198885
20 199178

About John J. Hutton

John J. Hutton is a scholar working on Molecular Biology, Pharmacology, Genetics, Immunology and Hematology, having authored 130 papers that have together received 5.8k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (38 papers), Pharmacogenetics and Drug Metabolism (11 papers), Acute Lymphoblastic Leukemia research (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), T-cell and B-cell Immunology (7 papers), Collagen: Extraction and Characterization (7 papers), Genomic variations and chromosomal abnormalities (7 papers) and Chromosomal and Genetic Variations (6 papers). The work is most often cited by research in Genetics (412 citations), Pharmacology (341 citations), Immunology (686 citations), Molecular Biology (2.2k citations) and Biomaterials (357 citations). John J. Hutton has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Sidney Udenfriend, Mary Sue Colemán, Al L. Tappel, Dan A. Wiginton, F.J. Bollum, Beatrice C. Lampkin, Gwen S. Adrian, Paul E. Thomas, Richard E. Kouri and James C. Donofrio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Genetics, Blood, Journal of Clinical Investigation and Journal of Biological Chemistry.

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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