Jay M. Yarbro

809 total citations
7 papers, 27 citations indexed

About

Jay M. Yarbro is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Jay M. Yarbro has authored 7 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Spectroscopy. Recurrent topics in Jay M. Yarbro's work include Advanced Proteomics Techniques and Applications (3 papers), Alzheimer's disease research and treatments (3 papers) and Mitochondrial Function and Pathology (2 papers). Jay M. Yarbro is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Alzheimer's disease research and treatments (3 papers) and Mitochondrial Function and Pathology (2 papers). Jay M. Yarbro collaborates with scholars based in United States, China and Germany. Jay M. Yarbro's co-authors include Ramin Homayouni, Junmin Peng, Yingxue Fu, Xue Zhang, Huan Sun, Taosheng Chen, Zhiping Wu, Ka Yang, Xusheng Wang and Ping‐Chung Chen and has published in prestigious journals such as Cell, Biochemistry and BioEssays.

In The Last Decade

Jay M. Yarbro

7 papers receiving 27 citations

Peers

Jay M. Yarbro
Linnéa Strandberg Sweden
Andrea Matlock United States
Eirini Petsalaki United Kingdom
Harrison J. McNabb United States
Eliot Ragueneau United Kingdom
Hannah J. Perrin United States
Feras Almourfi Saudi Arabia
Allen Seylani United States
David Southern United States
Jenny Hetzer Germany
Linnéa Strandberg Sweden
Jay M. Yarbro
Citations per year, relative to Jay M. Yarbro Jay M. Yarbro (= 1×) peers Linnéa Strandberg

Countries citing papers authored by Jay M. Yarbro

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Yarbro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay M. Yarbro

This figure shows the co-authorship network connecting the top 25 collaborators of Jay M. Yarbro. A scholar is included among the top collaborators of Jay M. Yarbro 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 Jay M. Yarbro. Jay M. Yarbro 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
1.
Yarbro, Jay M., Him K. Shrestha, Zhen Wang, et al.. (2025). Proteomic landscape of Alzheimer’s disease: emerging technologies, advances and insights (2021 – 2025). Molecular Neurodegeneration. 20(1). 83–83. 2 indexed citations
2.
Li, Wenxue, Abhijit Dasgupta, Ka Yang, et al.. (2025). Turnover atlas of proteome and phosphoproteome across mouse tissues and brain regions. Cell. 188(8). 2267–2287.e21. 5 indexed citations
3.
Dey, Kaushik, Jay M. Yarbro, Danting Liu, et al.. (2023). Identifying Sex-Specific Serum Patterns of Alzheimer’s Mice through Deep TMT Profiling and a Concentration-Dependent Concatenation Strategy. Journal of Proteome Research. 22(12). 3843–3853. 1 indexed citations
4.
Sun, Huan, Ka Yang, Xue Zhang, et al.. (2022). Evaluation of a Pooling Chemoproteomics Strategy with an FDA-Approved Drug Library. Biochemistry. 62(3). 624–632. 5 indexed citations
5.
Yarbro, Jay M., et al.. (2021). NIPSNAP protein family emerges as a sensor of mitochondrial health. BioEssays. 43(6). e2100014–e2100014. 11 indexed citations
6.
Bai, Bing, Xusheng Wang, Yuxin Li, et al.. (2020). Deep multilayer brain proteomics identifies molecular networks and Netrin‐1 accumulation in Alzheimer’s disease progression. Alzheimer s & Dementia. 16(S2). 2 indexed citations
7.
Yarbro, Jay M., et al.. (2018). P1‐228: CHARACTERIZATION OF APP AND NAD(P)H INTERACTIONS WITH NIPSNAP1, A NOVEL MITOCHONDRIAL PROTEIN. Alzheimer s & Dementia. 14(7S_Part_6). 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Linnéa Strandberg Breakdown of academic impact, for papers by Andrea Matlock Breakdown of academic impact, for papers by Eirini Petsalaki Breakdown of academic impact, for papers by Harrison J. McNabb Breakdown of academic impact, for papers by Eliot Ragueneau Breakdown of academic impact, for papers by Hannah J. Perrin Breakdown of academic impact, for papers by Feras Almourfi Breakdown of academic impact, for papers by Allen Seylani Breakdown of academic impact, for papers by David Southern Breakdown of academic impact, for papers by Jenny Hetzer
Rankless by CCL
2026