Jarod Rutledge

2.0k total citations · 1 hit paper
9 papers, 574 citations indexed

About

Jarod Rutledge is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Jarod Rutledge has authored 9 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Neurology. Recurrent topics in Jarod Rutledge's work include Single-cell and spatial transcriptomics (2 papers), 3D Printing in Biomedical Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Jarod Rutledge is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), 3D Printing in Biomedical Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Jarod Rutledge collaborates with scholars based in United States, Canada and France. Jarod Rutledge's co-authors include Tony Wyss‐Coray, Hamilton Oh, Neel Joshi, Anna Duraj‐Thatte, Yuhan Lee, Noémie‐Manuelle Dorval Courchesne, Pichet Praveschotinunt, Jeffrey M. Karp, Elizabeth C. Mormino and Avinash Manjula‐Basavanna and has published in prestigious journals such as Cell, Advanced Materials and Nature Medicine.

In The Last Decade

Jarod Rutledge

9 papers receiving 571 citations

Hit Papers

Measuring biological age using omics data 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jarod Rutledge United States 6 238 119 117 63 56 9 574
Annalucia Carbone Italy 20 342 1.4× 130 1.1× 55 0.5× 18 0.3× 32 0.6× 53 1.0k
Thomas Stahnke Germany 13 226 0.9× 86 0.7× 53 0.5× 61 1.0× 12 0.2× 60 757
Marco D’Aurora Italy 19 349 1.5× 73 0.6× 109 0.9× 28 0.4× 6 0.1× 32 942
Mengru Xie China 17 431 1.8× 278 2.3× 47 0.4× 19 0.3× 42 0.8× 26 1.2k
Chenhao Yang China 13 106 0.4× 44 0.4× 56 0.5× 17 0.3× 109 1.9× 51 582
Marta Iwanaszko United States 15 391 1.6× 87 0.7× 51 0.4× 12 0.2× 19 0.3× 28 895
Ce Yuan United States 16 538 2.3× 105 0.9× 44 0.4× 50 0.8× 27 0.5× 29 818
Xiaojia Wang United States 13 120 0.5× 142 1.2× 105 0.9× 6 0.1× 48 0.9× 20 735
Shaoling Yu China 15 320 1.3× 264 2.2× 30 0.3× 12 0.2× 36 0.6× 22 944
С. В. Буравков Russia 13 252 1.1× 131 1.1× 129 1.1× 16 0.3× 9 0.2× 52 621

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-authorship network of co-authors of Jarod Rutledge

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

All Works

9 of 9 papers shown
1.
Rutledge, Jarod, Daniel Western, Kejun Ying, et al.. (2025). Disruption of the cerebrospinal fluid–plasma protein balance in cognitive impairment and aging. Nature Medicine. 31(8). 2578–2589. 3 indexed citations
2.
Oh, Hamilton, Yann Le Guen, Deniz Yagmur Urey, et al.. (2025). Plasma proteomics links brain and immune system aging with healthspan and longevity. Nature Medicine. 31(8). 2703–2711. 9 indexed citations
3.
Rutledge, Jarod, Patricia Moran‐Losada, Michaël E. Belloy, et al.. (2023). Post‐translational modifications linked to preclinical Alzheimer's disease–related pathological and cognitive changes. Alzheimer s & Dementia. 20(3). 1851–1867. 3 indexed citations
4.
Olst, Lynn van, Brooke Simonton, Ziyang Zhang, et al.. (2022). Cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment. Cell. 185(26). 5028–5039.e13. 98 indexed citations
5.
Rutledge, Jarod, Hamilton Oh, & Tony Wyss‐Coray. (2022). Measuring biological age using omics data. Nature Reviews Genetics. 23(12). 715–727. 244 indexed citations breakdown →
6.
He, Zihuai, Yann Le Guen, Justin Lee, et al.. (2021). Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics. The American Journal of Human Genetics. 108(12). 2336–2353. 14 indexed citations
7.
Duraj‐Thatte, Anna, Avinash Manjula‐Basavanna, Jarod Rutledge, et al.. (2021). Programmable microbial ink for 3D printing of living materials produced from genetically engineered protein nanofibers. Nature Communications. 12(1). 6600–6600. 95 indexed citations
8.
Duraj‐Thatte, Anna, Noémie‐Manuelle Dorval Courchesne, Pichet Praveschotinunt, et al.. (2019). Hydrogels: Genetically Programmable Self‐Regenerating Bacterial Hydrogels (Adv. Mater. 40/2019). Advanced Materials. 31(40). 1 indexed citations
9.
Duraj‐Thatte, Anna, Noémie‐Manuelle Dorval Courchesne, Pichet Praveschotinunt, et al.. (2019). Genetically Programmable Self‐Regenerating Bacterial Hydrogels. Advanced Materials. 31(40). e1901826–e1901826. 107 indexed citations

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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