Jarod Rutledge

2.2k citations
10 papers · 639 · 1 hit paper · h-index 6

Impact in

Papers in

    • Single-cell and spatial transcriptomics 2
    • Mitochondrial Function and Pathology 1
    • Bioinformatics and Genomic Networks 1
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Jarod Rutledge

9 papers receiving 637 citations

Jarod Rutledge's Hit Papers

Measuring biological age using omics data 2022 · 278 citations
2780+1+2Years since publication50100150200250

Peers

Jarod Rutledge
Comparison fields: 5 of 105
  • Aging 52
  • Biological Psychiatry 24
  • Neurology 58
  • Physiology 107
  • Geriatrics and Gerontology 14
Replace Annalucia Carbone with:
Annalucia Carbone Italy
Mengru Xie China
Karen Chen United States
Ce Yuan United States
Jiwon Jang South Korea
Jacqueline Nguyen United States
Soochan Kim South Korea
Wenwen Ren China
С. В. Буравков Russia
Jarod Rutledge relative to Annalucia Carbone Italy Annalucia Carbone's profile →
Citations per field
00.5×3.9×
Annalucia Carbone · 1×
Citations per year

Countries citing papers authored by Jarod Rutledge

Since Specialization
Citations

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

Fields of papers citing papers by Jarod Rutledge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jarod Rutledge. 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 Jarod Rutledge. The network helps show where Jarod Rutledge may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Measuring biological age using omics data
Hit paper breakdown →
2022278
2 2022111
3 2019109
4 202198
5 202519
6 202114
7 20255
8 20234
9 20191
10 20240

About Jarod Rutledge

Jarod Rutledge is a scholar working on Molecular Biology, Neurology, Physiology, Biomedical Engineering and Condensed Matter Physics, having authored 10 papers that have together received 639 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), 3D Printing in Biomedical Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Adipose Tissue and Metabolism (1 paper), Genetic Associations and Epidemiology (1 paper), Mitochondrial Function and Pathology (1 paper), Bioinformatics and Genomic Networks (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Aging (52 citations), Biological Psychiatry (24 citations), Neurology (58 citations), Physiology (107 citations) and Geriatrics and Gerontology (14 citations). Jarod Rutledge has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Tony Wyss‐Coray, Hamilton Oh, Anna Duraj‐Thatte, Neel Joshi, Pichet Praveschotinunt, Yuhan Lee, Noémie‐Manuelle Dorval Courchesne, Jeffrey M. Karp, Elizabeth C. Mormino and Divya Channappa. Their work appears in journals such as Nature Medicine, Advanced Materials, Alzheimer s & Dementia, Nature Communications and The American Journal of Human Genetics.

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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