James Peddy

797 total citations · 1 hit paper
6 papers, 485 citations indexed

About

James Peddy is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, James Peddy has authored 6 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Epidemiology. Recurrent topics in James Peddy's work include Autophagy in Disease and Therapy (3 papers), Cellular transport and secretion (3 papers) and Alzheimer's disease research and treatments (3 papers). James Peddy is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Cellular transport and secretion (3 papers) and Alzheimer's disease research and treatments (3 papers). James Peddy collaborates with scholars based in United States and Germany. James Peddy's co-authors include Ju‐Hyun Lee, Chris N. Goulbourne, Philip Stavrides, Ralph A. Nixon, Cynthia Bleiwas, Martin J. Berg, Chunfeng Huo, Anna Pensalfini, Monika Pawlik and Dun‐Sheng Yang and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Cell Reports.

In The Last Decade

James Peddy

3 papers receiving 482 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques

2022 397 citations Ju‐Hyun Lee, Dun‐Sheng Yang et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Peddy United States	3	280	171	136	98	77	6	485
Yu Young Jeong United States	8	274 1.0×	301 1.8×	223 1.6×	90 0.9×	68 0.9×	11	586
HyunHee Park South Korea	13	139 0.5×	227 1.3×	134 1.0×	44 0.4×	129 1.7×	14	534
Maria B. Bagh United States	13	242 0.9×	334 2.0×	83 0.6×	160 1.6×	49 0.6×	20	644
Volker Meske Germany	16	520 1.9×	337 2.0×	84 0.6×	83 0.8×	71 0.9×	26	799
Wenxin Yu Japan	6	314 1.1×	224 1.3×	50 0.4×	79 0.8×	49 0.6×	8	523
Nima Naseri United States	8	230 0.8×	188 1.1×	40 0.3×	54 0.6×	77 1.0×	10	456
Dun-Sheng Yang Canada	6	478 1.7×	257 1.5×	257 1.9×	199 2.0×	87 1.1×	6	715
Qiuyang Zheng China	12	271 1.0×	363 2.1×	58 0.4×	106 1.1×	159 2.1×	16	771
Marko Košiček Croatia	9	350 1.3×	311 1.8×	50 0.4×	86 0.9×	30 0.4×	13	595

Countries citing papers authored by James Peddy

Since Specialization

Citations

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

Fields of papers citing papers by James Peddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Peddy

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

All Works

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6 of 6 papers shown

1.

Stavrides, Philip, Chris N. Goulbourne, James Peddy, et al.. (2025). mTOR inhibition in Q175 Huntington’s disease model mice facilitates neuronal autophagy and mutant huntingtin clearance. eLife. 14.

2.

Jiang, Ying, Kuldeep Singh Sachdeva, Chris N. Goulbourne, et al.. (2025). Increased Neuronal Expression of the Early Endosomal Adaptor APPL1 Replicates Alzheimer’s Disease-Related Endosomal and Synaptic Dysfunction with Cholinergic Neurodegeneration. Journal of Neuroscience. 45(29). e2331242025–e2331242025.

3.

Stavrides, Philip, Chris N. Goulbourne, James Peddy, et al.. (2025). mTOR inhibition in Q175 Huntington’s disease model mice facilitates neuronal autophagy and mutant huntingtin clearance. eLife. 14.

4.

Lee, Ju‐Hyun, Dun‐Sheng Yang, Chris N. Goulbourne, et al.. (2022). Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques. Nature Neuroscience. 25(6). 688–701. 397 indexed citations breakdown →

5.

Rao, Mala V., Sandipkumar Darji, Philip Stavrides, et al.. (2022). Autophagy is a novel pathway for neurofilament protein degradation in vivo. Autophagy. 19(4). 1277–1292. 18 indexed citations

6.

Pensalfini, Anna, Seonil Kim, Shivakumar Subbanna, et al.. (2020). Endosomal Dysfunction Induced by Directly Overactivating Rab5 Recapitulates Prodromal and Neurodegenerative Features of Alzheimer’s Disease. Cell Reports. 33(8). 108420–108420. 70 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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