Jared M. Schrader

68 total papers · 1.4k total citations
33 papers, 931 citations indexed

About

Jared M. Schrader is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jared M. Schrader has authored 33 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Genetics and 7 papers in Ecology. Recurrent topics in Jared M. Schrader's work include RNA and protein synthesis mechanisms (23 papers), Bacterial Genetics and Biotechnology (17 papers) and RNA modifications and cancer (13 papers). Jared M. Schrader is often cited by papers focused on RNA and protein synthesis mechanisms (23 papers), Bacterial Genetics and Biotechnology (17 papers) and RNA modifications and cancer (13 papers). Jared M. Schrader collaborates with scholars based in United States, Denmark and Israel. Jared M. Schrader's co-authors include Olke C. Uhlenbeck, Stephen J. Chapman, W. Seth Childers, Lucy Shapiro, Dylan T. Tomares, Nadra Al-Husini, Harley H. McAdams, Bo Zhou, Jonathan S. Weissman and Gene‐Wei Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jared M. Schrader

30 papers receiving 929 citations

Author Peers

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

Author Last Decade Papers Cites
Jared M. Schrader 847 391 184 40 30 33 931
Malcolm Buckle 843 1.0× 420 1.1× 189 1.0× 41 1.0× 43 1.4× 43 1.1k
Hans Matzura 658 0.8× 442 1.1× 142 0.8× 26 0.7× 43 1.4× 32 837
Horia Todor 723 0.9× 369 0.9× 200 1.1× 44 1.1× 74 2.5× 19 890
Heon M. Lim 679 0.8× 336 0.9× 170 0.9× 62 1.6× 53 1.8× 54 935
O Pierucci 737 0.9× 635 1.6× 163 0.9× 83 2.1× 32 1.1× 20 935
Gerald F. Vovis 722 0.9× 279 0.7× 311 1.7× 23 0.6× 32 1.1× 28 997
Madoka Kitakawa 850 1.0× 269 0.7× 134 0.7× 69 1.7× 43 1.4× 36 966
P. B. Rasmussen 429 0.5× 223 0.6× 130 0.7× 49 1.2× 25 0.8× 29 817
Joan L. Betz 801 0.9× 401 1.0× 169 0.9× 24 0.6× 60 2.0× 28 968
E. Fuchs 905 1.1× 406 1.0× 242 1.3× 31 0.8× 54 1.8× 24 997

Countries citing papers authored by Jared M. Schrader

Since Specialization
Citations

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

Fields of papers citing papers by Jared M. Schrader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared M. Schrader

This figure shows the co-authorship network connecting the top 25 collaborators of Jared M. Schrader. A scholar is included among the top collaborators of Jared M. Schrader 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 Jared M. Schrader. Jared M. Schrader 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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