John J. Hutton

6.5k citations
127 papers · 5.6k · h-index 44

Impact in

  • Physiology top 0.5%
    • Adenosine and Purinergic Signaling
  • Genetics top 2%
    • Virus-based gene therapy research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Adenosine and Purinergic Signaling 17
    • Biochemical and Molecular Research 26
    • RNA Interference and Gene Delivery 10

John J. Hutton

122 papers receiving 4.9k citations

Peers

John J. Hutton
Comparison fields: 5 of 146
  • Physiology 617
  • Genetics 568
  • Cancer Research 599
  • Hematology 474
  • Molecular Biology 2.9k
Replace R G Deeley with:
R G Deeley Canada
IRA PASTAN United States
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Citations per field
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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 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966304
2 1967271
3 1978255
4 1978180
5 1967171
6 1972167
7
Fludarabine monophosphate: a potentially useful agent in chronic lymphocytic leukemia.
1988167
8 1986137
9 1966135
10 1974124
11 1970105
12 1972103
13
Serial observations on terminal deoxynucleotidyl transferase activity and lymphoblast surface markers in acute lymphoblastic leukemia.
197698
14 198097
15 199295
16 197187
17 198886
18 199180
19 197777
20 198377

About John J. Hutton

John J. Hutton is a scholar working on Physiology, Molecular Biology, Hematology, Cancer Research and Genetics, having authored 127 papers that have together received 5.6k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (26 papers), Adenosine and Purinergic Signaling (17 papers), Cytomegalovirus and herpesvirus research (15 papers), Acute Lymphoblastic Leukemia research (13 papers), Carcinogens and Genotoxicity Assessment (12 papers), Virus-based gene therapy research (12 papers), Neonatal Health and Biochemistry (10 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Physiology (617 citations), Genetics (568 citations), Cancer Research (599 citations), Hematology (474 citations) and Molecular Biology (2.9k citations). John J. Hutton has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Sidney Udenfriend, Mary Sue Colemán, Dan A. Wiginton, Al L. Tappel, Beatrice C. Lampkin, F.J. Bollum, Paul E. Thomas, Richard E. Kouri, Bruce J. Aronow and James C. Donofrio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Genetics, Journal of Clinical Investigation, Molecular and Cellular Biology and Archives of Biochemistry and Biophysics.

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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