Samuel Strader

405 total citations · 1 hit paper
7 papers, 207 citations indexed

About

Samuel Strader is a scholar working on Neurology, Physiology and Neurology. According to data from OpenAlex, Samuel Strader has authored 7 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Physiology and 3 papers in Neurology. Recurrent topics in Samuel Strader's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Cellular transport and secretion (3 papers) and Alzheimer's disease research and treatments (3 papers). Samuel Strader is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Cellular transport and secretion (3 papers) and Alzheimer's disease research and treatments (3 papers). Samuel Strader collaborates with scholars based in United States, Austria and Sweden. Samuel Strader's co-authors include Andrew B. West, Benjamin G. Bobay, Zhiyong Liu, Christina M. Stanhope, Sara Miller, Arpine Sokratian, Na Liu, Enquan Xu, Iben Lundgaard and Joana Marie Sipe and has published in prestigious journals such as Neuron, Science Advances and Acta Neuropathologica.

In The Last Decade

Samuel Strader

5 papers receiving 207 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.

Anionic nanoplastic contaminants promote Parkinson’s disease–associated α-synuclein aggregation

2023 132 citations Zhiyong Liu, Arpine Sokratian et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Strader United States	4	93	43	39	35	35	7	207
Byung-Kwon Jung South Korea	11	111 1.2×	90 2.1×	56 1.4×	27 0.8×	50 1.4×	15	339
Xin Yi Yeo Singapore	11	79 0.8×	125 2.9×	32 0.8×	41 1.2×	16 0.5×	23	347
Seung-Woo Han South Korea	8	177 1.9×	56 1.3×	95 2.4×	41 1.2×	29 0.8×	10	304
Alon M. Douek Australia	10	36 0.4×	98 2.3×	56 1.4×	15 0.4×	20 0.6×	13	293
Christina M. Stanhope United States	4	93 1.0×	35 0.8×	40 1.0×	35 1.0×	4 0.1×	5	199
Fredrik Nilsson Sweden	11	54 0.6×	146 3.4×	86 2.2×	22 0.6×	20 0.6×	17	346
Li Yang Tan Singapore	6	79 0.8×	52 1.2×	23 0.6×	41 1.2×	7 0.2×	7	158
Joo-Hee Choi South Korea	9	106 1.1×	107 2.5×	32 0.8×	49 1.4×	8 0.2×	28	298
Yu‐Ting L. Dingle United States	7	28 0.3×	93 2.2×	137 3.5×	18 0.5×	22 0.6×	8	338
Christelle Gamez France	10	118 1.3×	30 0.7×	146 3.7×	57 1.6×	11 0.3×	13	452

Countries citing papers authored by Samuel Strader

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Strader

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Strader

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

All Works

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7 of 7 papers shown

1.

Liu, Zhiyong, Enquan Xu, Nicole Bryant, et al.. (2025). LRRK2 interactions with microtubules are independent of LRRK2-mediated Rab phosphorylation. EMBO Reports. 26(13). 3445–3466.

2.

Strader, Samuel, Sung‐Vin Yim, Hillel Pratt, et al.. (2025). LRRK2 kinase-mediated accumulation of lysosome-associated phospho-Rabs in tauopathies and synucleinopathies. Acta Neuropathologica. 150(1). 44–44.

3.

Boddu, Ravindra, Samuel Strader, Nicole Bryant, et al.. (2024). Single molecule array measures of LRRK2 kinase activity in serum link Parkinson’s disease severity to peripheral inflammation. Molecular Neurodegeneration. 19(1). 47–47. 7 indexed citations

4.

Liu, Zhiyong, Arpine Sokratian, Enquan Xu, et al.. (2023). Anionic nanoplastic contaminants promote Parkinson’s disease–associated α-synuclein aggregation. Science Advances. 9(46). eadi8716–eadi8716. 132 indexed citations breakdown →

5.

Strader, Samuel & Andrew B. West. (2023). The interplay between monocytes, α-synuclein and LRRK2 in Parkinson's disease. Biochemical Society Transactions. 51(2). 747–758. 7 indexed citations

6.

Baldwin, Katherine T., Samuel Strader, Changyu Jiang, et al.. (2021). HepaCAM controls astrocyte self-organization and coupling. Neuron. 109(15). 2427–2442.e10. 60 indexed citations

7.

Koh, Sehwon, Suva Roy, Samuel Strader, et al.. (2019). Thrombospondin-1 Promotes Circuit-Specific Synapse Formation Via β1-Integrin. SSRN Electronic Journal. 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.

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