Shannon N. Rhoads

9 total papers · 1.4k total citations
8 papers, 991 citations indexed

About

Shannon N. Rhoads is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Shannon N. Rhoads has authored 8 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cell Biology. Recurrent topics in Shannon N. Rhoads's work include RNA Research and Splicing (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cancer-related gene regulation (1 paper). Shannon N. Rhoads is often cited by papers focused on RNA Research and Splicing (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cancer-related gene regulation (1 paper). Shannon N. Rhoads collaborates with scholars based in United States. Shannon N. Rhoads's co-authors include Frank Shewmaker, Zachary Monahan, Veronica H. Ryan, Alexander E. Conicella, Nicolas L. Fawzi, Robert N. Cole, Robert N. O’Meally, Wenwei Zheng, Robert B. Best and Jeetain Mittal and has published in prestigious journals such as The EMBO Journal, International Journal of Molecular Sciences and Molecular Biology of the Cell.

In The Last Decade

Shannon N. Rhoads

7 papers receiving 987 citations

Hit Papers

Phosphorylation of the FU... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shannon N. Rhoads 896 263 141 90 74 8 991
Zachary Monahan 695 0.8× 216 0.8× 123 0.9× 65 0.7× 75 1.0× 7 798
Bede Portz 804 0.9× 276 1.0× 160 1.1× 49 0.5× 54 0.7× 13 912
Yuna M. Ayala 749 0.8× 365 1.4× 181 1.3× 53 0.6× 56 0.8× 14 892
Lara Marrone 850 0.9× 196 0.7× 113 0.8× 45 0.5× 65 0.9× 15 1.0k
Mario Hofweber 878 1.0× 196 0.7× 128 0.9× 64 0.7× 67 0.9× 8 958
Benjamin Bourgeois 861 1.0× 193 0.7× 128 0.9× 50 0.6× 68 0.9× 23 956
Brian A. Maxwell 995 1.1× 326 1.2× 175 1.2× 43 0.5× 186 2.5× 15 1.2k
En‐Ching Luo 792 0.9× 137 0.5× 80 0.6× 31 0.3× 156 2.1× 9 927
Maria Dimitriadi 554 0.6× 103 0.4× 186 1.3× 25 0.3× 52 0.7× 17 850
Louise H. Wong 816 0.9× 236 0.9× 108 0.8× 120 1.3× 457 6.2× 11 1.2k

Countries citing papers authored by Shannon N. Rhoads

Since Specialization
Citations

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

Fields of papers citing papers by Shannon N. Rhoads

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon N. Rhoads. 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 Shannon N. Rhoads. The network helps show where Shannon N. Rhoads may publish in the future.

Co-authorship network of co-authors of Shannon N. Rhoads

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon N. Rhoads. A scholar is included among the top collaborators of Shannon N. Rhoads 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 Shannon N. Rhoads. Shannon N. Rhoads 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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