John S. O’Neill

83 papers receiving 7.3k citations

John S. O’Neill's Hit Papers

Peroxiredoxins are conserved markers of circadian rhythms 2012 · 682 citations
6820+5+10Years since publication200400600

Peers

John S. O’Neill
Comparison fields: 5 of 156
  • Endocrine and Autonomic Systems 4.6k
  • Aging 1.0k
  • Physiology 2.1k
  • Cellular and Molecular Neuroscience 1.3k
  • Biological Psychiatry 109
Replace Carla B. Green with:
Carla B. Green United States
Akhilesh B. Reddy United Kingdom
Charna Dibner Switzerland
Saurabh Sahar United States
Gad Asher Israel
Steven A. Brown Switzerland
Cheng Chi Lee United States
Marty Straume United States
Marina P. Antoch United States
Roman V. Kondratov United States
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Countries citing papers authored by John S. O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by John S. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. O’Neill. 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 S. O’Neill. The network helps show where John S. O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Peroxiredoxins are conserved markers of circadian rhythms
Hit paper breakdown →
2012682
2
Circadian clocks in human red blood cells
Hit paper breakdown →
2011619
3 2006437
4 2007388
5 2011387
6 2006351
7 2008335
8 2007324
9 1987239
10 2019218
11 2016201
12 2015188
13 1988186
14 2018171
15 2016158
16 2017140
17 2003137
18 2009135
19 2007128
20 2008127

About John S. O’Neill

John S. O’Neill is a scholar working on Endocrine and Autonomic Systems, Plant Science, Physiology, Cellular and Molecular Neuroscience and Aging, having authored 85 papers that have together received 7.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (63 papers), Light effects on plants (22 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers), Spaceflight effects on biology (15 papers), Photoreceptor and optogenetics research (14 papers), Neurobiology and Insect Physiology Research (8 papers), Plant Molecular Biology Research (7 papers) and Dietary Effects on Health (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.6k citations), Aging (1.0k citations), Physiology (2.1k citations), Cellular and Molecular Neuroscience (1.3k citations) and Biological Psychiatry (109 citations). John S. O’Neill has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Akhilesh B. Reddy, Michael H. Hastings, Elizabeth S. Maywood, Johanna E. Chesham, William R. Miller, Gerben van Ooijen, Kevin A. Feeney, Andrew J. Millar, Gabriel K.Y. Wong and Marrit Putker. Their work appears in journals such as Current Biology, Journal of Biological Rhythms, Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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