Megan M. Senchuk

1.4k citations
20 papers · 964 indexed · h-index 15
Topics
Genetics, Aging, and Longevity in Model Organisms (15 papers)Mitochondrial Function and Pathology (9 papers)Circadian rhythm and melatonin (5 papers)
Partner nations
United StatesCanada

In The Last Decade

Megan M. Senchuk

18 papers receiving 957 citations

Peers

Megan M. Senchuk
Comparison fields: 5 of 90
  • Aging 554
  • Molecular Biology 524
  • Physiology 214
  • Cellular and Molecular Neuroscience 129
  • Endocrine and Autonomic Systems 119
Replace Dylan J. Dues with:
Dylan J. Dues United States
Jason Cooper United States
Emily Machiela United States
Arnaud Tauffenberger Canada
Jonathan J. Halloran United States
George L. Sutphin United States
Ryan Doonan United States
Wendy B. Iser United States
Jia Hu China
Scott F. Leiser United States
Megan M. Senchuk relative to Dylan J. Dues United States Dylan J. Dues's profile →
Citations per field
00.5×1.5×
Dylan J. Dues · 1×
Citations per year

Countries citing papers authored by Megan M. Senchuk

Since Specialization
Citations

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

Fields of papers citing papers by Megan M. Senchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan M. Senchuk

This figure shows the co-authorship network connecting the top 25 collaborators of Megan M. Senchuk. A scholar is included among the top collaborators of Megan M. Senchuk 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 Megan M. Senchuk. Megan M. Senchuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 11
4 25
5 10
6 33
7 23
8 107
9 32
10 84
11 33
12 89
13 57
14 68
15 38
16 88
17 159
18 79
19 6
20 22

About Megan M. Senchuk

Megan M. Senchuk is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 964 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Mitochondrial Function and Pathology (9 papers) and Circadian rhythm and melatonin (5 papers). The work is most often cited by research in Aging (554 citations), Endocrine and Autonomic Systems (119 citations) and Biological Psychiatry (36 citations). Megan M. Senchuk has collaborated with scholars based in United States and Canada. Frequent co-authors include Jeremy M. Van Raamsdonk, Dylan J. Dues, Emily Machiela, Jason Cooper, Claire Schaar, Katie Spielbauer, Benjamin K. Johnson, Megan J. Bowman, Mary E. Winn and Siegfried Hekimi. Their work appears in journals such as Scientific Reports, The FASEB Journal and Free Radical Biology and Medicine.

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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