Ann M. Rose

4.3k citations
86 papers · 3.4k indexed · h-index 34

Impact in

  • Aging top 0.05%
    • Genetics, Aging, and Longevity in Model Organisms
    • Microtubule and mitosis dynamics

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 67
    • CRISPR and Genetic Engineering 36
    • DNA Repair Mechanisms 19
    • Mitochondrial Function and Pathology 16
    • Photosynthetic Processes and Mechanisms 6

Ann M. Rose

86 papers receiving 3.3k citations

Peers

Ann M. Rose
Comparison fields: 5 of 101
  • Aging 1.4k
  • Cell Biology 612
  • Molecular Biology 2.6k
  • Endocrine and Autonomic Systems 203
  • Plant Science 638
Replace Jordan D. Ward with:
Jordan D. Ward United States
Paul E. Mains Canada
Fritz Müller Switzerland
Marcel Tijsterman Netherlands
John Yochem United States
Joel H. Rothman United States
Danielle Thierry‐Mieg United States
Anne M. Villeneuve United States
Andrew R. Buchman United States
Patricia E. Kuwabara United Kingdom
Ann M. Rose relative to Jordan D. Ward United States Jordan D. Ward's profile →
Citations per field
00.5×1.5×1.9×
Jordan D. Ward · 1×
Citations per year

Countries citing papers authored by Ann M. Rose

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20204
2 201311
3 2010137
4 20106
5 200925
6 20094
7 2008298
8 200750
9 200649
10 2002101
11 200257
12 2002225
13 200016
14 200010
15 199753
16 199725
17 199311
18 199246
19 199140
20 198841

About Ann M. Rose

Ann M. Rose is a scholar working on Aging, Molecular Biology, Cell Biology, Plant Science and Genetics, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (67 papers), CRISPR and Genetic Engineering (36 papers), DNA Repair Mechanisms (19 papers), Chromosomal and Genetic Variations (18 papers), Mitochondrial Function and Pathology (16 papers), Microtubule and mitosis dynamics (8 papers), Evolution and Genetic Dynamics (8 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Aging (1.4k citations), Cell Biology (612 citations), Molecular Biology (2.6k citations), Endocrine and Autonomic Systems (203 citations) and Plant Science (638 citations). Ann M. Rose has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David L. Baillie, Nigel J. O’Neil, Monique Zetka, Risa Kitagawa, Colin Thacker, Jillian L. Youds, Iris Cheung, Michael Schertzer, Peter M. Lansdorp and Simon J. Boulton. Their work appears in journals such as Genetics, BMC Genomics, Genome, Genome Research and Molecular and Cellular Biology.

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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