Nathaniel Safren

25 total papers · 3.2k total citations
16 papers, 482 citations indexed

About

Nathaniel Safren is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Nathaniel Safren has authored 16 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Nathaniel Safren's work include Genetic Neurodegenerative Diseases (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Ubiquitin and proteasome pathways (6 papers). Nathaniel Safren is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Ubiquitin and proteasome pathways (6 papers). Nathaniel Safren collaborates with scholars based in United States, Japan and South Korea. Nathaniel Safren's co-authors include Sami J. Barmada, Mervyn J. Monteiro, Lydia Chang, Virginia M.‐Y. Lee, Johannes Brettschneider, David J. Irwin, John Q. Trojanowski, John Robinson, Leo McCluskey and Todd D. Gould and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nathaniel Safren

16 papers receiving 477 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nathaniel Safren 306 255 115 105 97 16 482
Judith Eschbach 300 1.0× 264 1.0× 122 1.1× 157 1.5× 101 1.0× 12 528
Toshiya Nakano 213 0.7× 257 1.0× 114 1.0× 93 0.9× 73 0.8× 20 540
Zongbing Hao 255 0.8× 226 0.9× 98 0.9× 70 0.7× 54 0.6× 18 528
A Arosio 265 0.9× 154 0.6× 81 0.7× 59 0.6× 82 0.8× 13 443
Natalie E. Farrawell 300 1.0× 243 1.0× 158 1.4× 63 0.6× 49 0.5× 20 474
Ina Woods 145 0.5× 321 1.3× 76 0.7× 144 1.4× 107 1.1× 19 546
Gloria M. Palomo 205 0.7× 299 1.2× 60 0.5× 107 1.0× 78 0.8× 11 534
Niranjanan Nirmalananthan 174 0.6× 294 1.2× 116 1.0× 157 1.5× 40 0.4× 23 532
Pritha Majumder 191 0.6× 334 1.3× 98 0.9× 118 1.1× 62 0.6× 17 476
Bilal Khalil 183 0.6× 304 1.2× 67 0.6× 102 1.0× 56 0.6× 13 470

Countries citing papers authored by Nathaniel Safren

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Safren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Safren

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

All Works

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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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