Steven Magnuson

120 total papers · 3.7k total citations
23 papers, 1.5k citations indexed

About

Steven Magnuson is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Steven Magnuson has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Organic Chemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Steven Magnuson's work include Protein Degradation and Inhibitors (5 papers), Melanoma and MAPK Pathways (4 papers) and Multiple Myeloma Research and Treatments (2 papers). Steven Magnuson is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Melanoma and MAPK Pathways (4 papers) and Multiple Myeloma Research and Treatments (2 papers). Steven Magnuson collaborates with scholars based in United States, Canada and France. Steven Magnuson's co-authors include Benjamin P. Fauber, F. Anthony Romero, Mark Merchant, Derrick L. J. Clive, Vickie Tsui, Karen E. Gascoigne, Lingyan Jin, Terry D. Crawford, Alexander M. Taylor and Emily Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Cancer Research.

In The Last Decade

Steven Magnuson

23 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Steven Magnuson 946 423 249 182 132 23 1.5k
Wooyoung Hur 1.3k 1.4× 401 0.9× 253 1.0× 100 0.5× 179 1.4× 35 1.9k
Allan S. Wagman 1.4k 1.4× 447 1.1× 284 1.1× 196 1.1× 73 0.6× 28 2.2k
Richard A. Norman 1.0k 1.1× 324 0.8× 268 1.1× 75 0.4× 65 0.5× 26 1.5k
Réjean Ruel 1.4k 1.5× 469 1.1× 309 1.2× 315 1.7× 110 0.8× 31 2.4k
My‐Hanh Lam 857 0.9× 239 0.6× 386 1.6× 148 0.8× 75 0.6× 33 2.0k
Yi Fan 1.3k 1.4× 357 0.8× 429 1.7× 148 0.8× 102 0.8× 41 2.0k
Peter D. Davis 1.2k 1.3× 556 1.3× 299 1.2× 163 0.9× 76 0.6× 39 2.0k
Frank Bennett 1.2k 1.2× 395 0.9× 273 1.1× 252 1.4× 135 1.0× 75 2.0k
Toshitaka Manda 1.0k 1.1× 252 0.6× 249 1.0× 168 0.9× 61 0.5× 53 1.5k
Joseph Schoepfer 1.5k 1.6× 529 1.3× 467 1.9× 115 0.6× 89 0.7× 43 2.0k

Countries citing papers authored by Steven Magnuson

Since Specialization
Citations

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

Fields of papers citing papers by Steven Magnuson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Magnuson

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Magnuson. A scholar is included among the top collaborators of Steven Magnuson 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 Steven Magnuson. Steven Magnuson 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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