Rachel E. Rodin

2.0k total citations · 1 hit paper
8 papers, 562 citations indexed

About

Rachel E. Rodin is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Rachel E. Rodin has authored 8 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Neurology. Recurrent topics in Rachel E. Rodin's work include Genomics and Rare Diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Single-cell and spatial transcriptomics (2 papers). Rachel E. Rodin is often cited by papers focused on Genomics and Rare Diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Single-cell and spatial transcriptomics (2 papers). Rachel E. Rodin collaborates with scholars based in United States and United Kingdom. Rachel E. Rodin's co-authors include Christopher A. Walsh, Peter J. Park, Maxwell A. Sherman, Alison R. Barton, Craig L. Bohrson, Min‐Seok Kwon, Lovelace J. Luquette, Michael E. Coulter, Michael A. Lodato and Thomas W. Chittenden and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Rachel E. Rodin

8 papers receiving 558 citations

Hit Papers

Aging and neurodegeneration are associated with increased... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel E. Rodin United States 8 403 194 173 53 42 8 562
Carl Vitzthum United States 4 301 0.7× 135 0.7× 105 0.6× 46 0.9× 36 0.9× 6 422
Craig L. Bohrson United States 8 550 1.4× 274 1.4× 173 1.0× 107 2.0× 43 1.0× 8 721
L. Benjamin Hills United States 6 623 1.5× 151 0.8× 339 2.0× 54 1.0× 24 0.6× 7 864
Luis Zurkirchen Switzerland 8 406 1.0× 132 0.7× 82 0.5× 69 1.3× 37 0.9× 8 579
Princess C. Elhosary United States 5 700 1.7× 208 1.1× 454 2.6× 57 1.1× 19 0.5× 5 982
Daniel Franjic United States 5 233 0.6× 92 0.5× 103 0.6× 22 0.4× 29 0.7× 5 358
Mathieu Daynac France 14 377 0.9× 84 0.4× 37 0.2× 38 0.7× 105 2.5× 18 619
Jacqueline L. Avila United States 6 449 1.1× 114 0.6× 44 0.3× 90 1.7× 10 0.2× 9 769
Topi A. Tervonen Finland 12 402 1.0× 85 0.4× 190 1.1× 18 0.3× 7 0.2× 16 600

Countries citing papers authored by Rachel E. Rodin

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Rodin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Rodin. 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 Rachel E. Rodin. The network helps show where Rachel E. Rodin may publish in the future.

Co-authorship network of co-authors of Rachel E. Rodin

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

All Works

8 of 8 papers shown
1.
Rodin, Rachel E. & Tanuja Chitnis. (2024). Soluble biomarkers for Neuromyelitis Optica Spectrum Disorders: a mini review. Frontiers in Neurology. 15. 1415535–1415535. 11 indexed citations
2.
Sherman, Maxwell A., Rachel E. Rodin, Giulio Genovese, et al.. (2021). Large mosaic copy number variations confer autism risk. Nature Neuroscience. 24(2). 197–203. 34 indexed citations
3.
Doan, Ryan N., Michael B. Miller, Sonia N. Kim, et al.. (2021). MIPP-Seq: ultra-sensitive rapid detection and validation of low-frequency mosaic mutations. BMC Medical Genomics. 14(1). 47–47. 11 indexed citations
4.
Huang, August Yue, Pengpeng Li, Rachel E. Rodin, et al.. (2020). Parallel RNA and DNA analysis after deep sequencing (PRDD-seq) reveals cell type-specific lineage patterns in human brain. Proceedings of the National Academy of Sciences. 117(25). 13886–13895. 29 indexed citations
5.
Bohrson, Craig L., Alison R. Barton, Michael A. Lodato, et al.. (2019). Linked-read analysis identifies mutations in single-cell DNA-sequencing data. Nature Genetics. 51(4). 749–754. 63 indexed citations
6.
Rodin, Rachel E. & Christopher A. Walsh. (2018). Somatic Mutation in Pediatric Neurological Diseases. Pediatric Neurology. 87. 20–22. 14 indexed citations
7.
Paquet, Maryse, James W. Bogenpohl, Rachel E. Rodin, et al.. (2017). Group II metabotropic glutamate receptor interactions with NHERF scaffold proteins: Implications for receptor localization in brain. Neuroscience. 353. 58–75. 11 indexed citations
8.
Lodato, Michael A., Rachel E. Rodin, Craig L. Bohrson, et al.. (2017). Aging and neurodegeneration are associated with increased mutations in single human neurons. Science. 359(6375). 555–559. 389 indexed citations breakdown →

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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