Steven D. Flanagan

33 total papers · 1.4k total citations
26 papers, 1.1k citations indexed

About

Steven D. Flanagan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Steven D. Flanagan has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Steven D. Flanagan's work include Receptor Mechanisms and Signaling (5 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Skin and Cellular Biology Research (3 papers). Steven D. Flanagan is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Skin and Cellular Biology Research (3 papers). Steven D. Flanagan collaborates with scholars based in United States, Sweden and Germany. Steven D. Flanagan's co-authors include S H Barondes, Reinhard Gysin, Donn Muhleman, David E. Comings, Palmer Taylor, Chul Ahn, Mamitaro Ohtsuki, Miroslav Blumenberg, G. Johansson and George Dietz and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Steven D. Flanagan

26 papers receiving 1.1k 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 D. Flanagan 625 239 161 126 119 26 1.1k
Nobuhiro Fukushima 311 0.5× 157 0.7× 70 0.4× 89 0.7× 183 1.5× 34 1.1k
Johanna Lilja 485 0.8× 86 0.4× 186 1.2× 14 0.1× 87 0.7× 31 1.4k
April L. Darling 1.0k 1.6× 132 0.6× 205 1.3× 13 0.1× 250 2.1× 24 1.3k
Jürgen Lasch 709 1.1× 82 0.3× 49 0.3× 11 0.1× 88 0.7× 40 1.1k
Vladislav A. Litosh 319 0.5× 64 0.3× 55 0.3× 10 0.1× 66 0.6× 32 1.0k
Lili Lu 835 1.3× 114 0.5× 53 0.3× 17 0.1× 47 0.4× 37 1.3k
H B Bosmann 586 0.9× 138 0.6× 118 0.7× 8 0.1× 111 0.9× 52 966
Tinh N. Luong 631 1.0× 169 0.7× 72 0.4× 6 0.0× 72 0.6× 14 1.0k
Merrill K. Wolf 680 1.1× 340 1.4× 121 0.8× 5 0.0× 64 0.5× 40 1.3k
Douglas R. Brandt 684 1.1× 289 1.2× 124 0.8× 6 0.0× 74 0.6× 15 913

Countries citing papers authored by Steven D. Flanagan

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Flanagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven D. Flanagan

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