Matthew J. Youngman

648 citations
10 papers · 479 indexed · h-index 8
Topics
Genetics, Aging, and Longevity in Model Organisms (5 papers)Mitochondrial Function and Pathology (3 papers)FOXO transcription factor regulation (2 papers)

In The Last Decade

Matthew J. Youngman

10 papers receiving 477 citations

Peers

Matthew J. Youngman
Comparison fields: 5 of 70
  • Molecular Biology 355
  • Aging 135
  • Clinical Biochemistry 90
  • Endocrine and Autonomic Systems 53
  • Cell Biology 41
Replace Pavlo Kyryakov with:
Pavlo Kyryakov Canada
Dae‐Eun Jeong South Korea
Ana Mesquita Portugal
Isaiah A.A. Neve United States
Alice Zuin Spain
Anna Vlanti Greece
Ineke Dhondt Belgium
Hasmukh V. Patel Canada
Tim H. Lindblom United States
Yoonji Jung South Korea
Matthew J. Youngman relative to Pavlo Kyryakov Canada Pavlo Kyryakov's profile →
Citations per field
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Pavlo Kyryakov · 1×
Citations per year

Countries citing papers authored by Matthew J. Youngman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Youngman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Youngman. 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 Matthew J. Youngman. The network helps show where Matthew J. Youngman may publish in the future.

Co-authorship network of co-authors of Matthew J. Youngman

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 1
3 18
4 69
5 10
6 45
7 73
8 128
9 123
10 10

About Matthew J. Youngman

Matthew J. Youngman is a scholar working on Aging, Neuropsychology and Physiological Psychology and Endocrinology, having authored 10 papers that have together received 479 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Mitochondrial Function and Pathology (3 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Aging (135 citations), Clinical Biochemistry (90 citations) and Endocrine and Autonomic Systems (53 citations). Matthew J. Youngman has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Dennis H. Kim, Robert E. Jensen, Shawn M. Burgess, Maithreyan Srinivasan, Alyson E. Aiken Hobbs, Robert P. Shivers, Zoe Rogers, Agnieszka Chacińska, Lesley A. Kane and Michael Rissler. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal and PLoS ONE.

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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