Mary Ann Osley

7.2k citations
65 papers · 6.0k indexed · 3 hit papers · h-index 37
    • Genomics and Chromatin Dynamics 42
    • Fungal and yeast genetics research 28
    • DNA Repair Mechanisms 14
    • Ubiquitin and proteasome pathways 11
    • CRISPR and Genetic Engineering 8
    • RNA Research and Splicing 8
    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 5
  • Aging top 5%
  • Genetics top 5%

Mary Ann Osley

63 papers receiving 5.8k citations

Hit Papers

Transcriptional activation via sequential histone H2B ubi...5471991202620022014100200300400500

Peers

Mary Ann Osley
Comparison fields: 5 of 102
  • Molecular Biology 5.7k
  • Aging 69
  • Plant Science 844
  • Cell Biology 310
  • Genetics 529
Replace William K. Holloman with:
William K. Holloman United States
Hideaki Tagami Japan
Frédéric Pâques France
Jean D. Beggs United Kingdom
Arno L. Greenleaf United States
Michael Hampsey United States
Mark Goebl United States
Alain Nicolas France
Thomas F. Donahue United States
Sue Jinks-Robertson United States
Mary Ann Osley relative to William K. Holloman United States William K. Holloman's profile →
Citations per field
00.5×1.5×2.3×
William K. Holloman · 1×
Citations per year

Countries citing papers authored by Mary Ann Osley

Since Specialization
Citations

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

Fields of papers citing papers by Mary Ann Osley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ann Osley. 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 Mary Ann Osley. The network helps show where Mary Ann Osley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 201727
3 201729
4 20159
5 20119
6 201120
7 2008273
8 2007109
9 200654
10 200670
11 20046
12 2002123
13 199986
14 199833
15 1998148
16 199636
17 199624
18 199317
19
THE REGULATION OF HISTONE SYNTHESIS IN THE CELL CYCLEbreakdown →
1991441
20 198731

About Mary Ann Osley

Mary Ann Osley is a scholar working on Molecular Biology, Aging and Endocrinology, having authored 65 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (42 papers), Fungal and yeast genetics research (28 papers), DNA Repair Mechanisms (14 papers), Ubiquitin and proteasome pathways (11 papers), CRISPR and Genetic Engineering (8 papers), RNA Research and Splicing (8 papers), Epigenetics and DNA Methylation (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Aging (69 citations) and Plant Science (844 citations). Mary Ann Osley has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Lynna M. Hereford, Judith Recht, Kenneth Robzyk, Alastair B. Fleming, Toyoko Tsukuda, David Norris, Jac A. Nickoloff, Cheng-Fu Kao, Deborah E. Lycan and Cory Hillyer. Their work appears in journals such as Nature, Science and Cell.

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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