Deanna M. Stevens

2.0k citations
7 papers · 1.6k indexed · 1 hit paper · h-index 7
Topics
Microtubule and mitosis dynamics (3 papers)Photosynthetic Processes and Mechanisms (2 papers)Chromosomal and Genetic Variations (2 papers)

In The Last Decade

Deanna M. Stevens

7 papers receiving 1.6k citations

Hit Papers

Ablation in Mice of the mTORC Components raptor, rictor, ...200620262012201920062505007501000

Peers

Deanna M. Stevens
Comparison fields: 5 of 82
  • Molecular Biology 1.4k
  • Cell Biology 254
  • Immunology 214
  • Physiology 175
  • Oncology 141
Replace Juan Manuel García‐Martínez with:
Juan Manuel García‐Martínez Spain
Greg M. Findlay United Kingdom
Yonghong Xiao United States
Stephanie Z. Xie United States
Nadine Cybulski Switzerland
Miguel A. Prado United States
Mimi Tamamori‐Adachi Japan
Claudio Scuoppo United States
Polina Iakova United States
Laura Harrington United Kingdom
Deanna M. Stevens relative to Juan Manuel García‐Martínez Spain Juan Manuel García‐Martínez's profile →
Citations per field
00.5×1.5×1.8×
Juan Manuel García‐Martínez · 1×
Citations per year

Countries citing papers authored by Deanna M. Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Deanna M. Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna M. Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna M. Stevens. A scholar is included among the top collaborators of Deanna M. Stevens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deanna M. Stevens. Deanna M. Stevens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 21
2 9
3 14
4 52
5 69
6 316
7
Ablation in Mice of the mTORC Components raptor, rictor, or mLST8 Reveals that mTORC2 Is Required for Signaling to Akt-FOXO and PKCα, but Not S6K1breakdown →
1158

About Deanna M. Stevens

Deanna M. Stevens is a scholar working on Aging, Cell Biology and Genetics, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Photosynthetic Processes and Mechanisms (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Aging (85 citations), Molecular Biology (1.4k citations) and Cell Biology (254 citations). Deanna M. Stevens has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David A. Guertin, David M. Sabatini, Nada Y. Kalaany, Kevin Fitzgerald, Carson C. Thoreen, Michael Brown, Aurora A. Burds, Jason Moffat, Maki Saitoh and Katherine Crosby. Their work appears in journals such as Science, PLoS ONE and Cancer 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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