John S. O’Neill

83 papers receiving 7.4k citations

John S. O’Neill's Hit Papers

Peroxiredoxins are conserved markers of circadian rhythms 2012 · 690 citations
6900+5+10Years since publication200400600

Peers

John S. O’Neill
Comparison fields: 5 of 155
  • Endocrine and Autonomic Systems 4.6k
  • Aging 985
  • Physiology 1.9k
  • Cellular and Molecular Neuroscience 1.3k
  • Biological Psychiatry 102
Replace Carla B. Green with:
Carla B. Green United States
Akhilesh B. Reddy United Kingdom
Mark J. Zylka United States
Charna Dibner Switzerland
Saurabh Sahar United States
Gad Asher Israel
Steven A. Brown Switzerland
Cheng Chi Lee United States
Andrew C. Liu 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 →
2012690
2
Circadian clocks in human red blood cells
Hit paper breakdown →
2011628
3 2006442
4 2007391
5 2011388
6 2006353
7 2008336
8 2007327
9 1987239
10 2019221
11 2016205
12 2015197
13 1988186
14 2018177
15 2016163
16 2017144
17 2009136
18 2003136
19 2007130
20 2008128

About John S. O’Neill

John S. O’Neill is a scholar working on Endocrine and Autonomic Systems, Plant Science, Cellular and Molecular Neuroscience, Physiology and Aging, having authored 85 papers that have together received 7.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (62 papers), Light effects on plants (21 papers), Genetics, Aging, and Longevity in Model Organisms (17 papers), Photoreceptor and optogenetics research (14 papers), Spaceflight effects on biology (13 papers), Plant Molecular Biology Research (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.6k citations), Aging (985 citations), Physiology (1.9k citations), Cellular and Molecular Neuroscience (1.3k citations) and Biological Psychiatry (102 citations). John S. O’Neill has collaborated with scholars based in United Kingdom, United States and Germany. 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, Gabriel K.Y. Wong, Andrew J. Millar and Marrit Putker. Their work appears in journals such as Current Biology, Journal of Biological Rhythms, The EMBO Journal, Proceedings of the National Academy of Sciences and Nature.

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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