Michael W. Sneddon

14 total papers · 2.8k total citations
9 papers, 818 citations indexed

About

Michael W. Sneddon is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Michael W. Sneddon has authored 9 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Biophysics and 2 papers in Immunology. Recurrent topics in Michael W. Sneddon's work include Gene Regulatory Network Analysis (4 papers), Cell Image Analysis Techniques (2 papers) and Immunotherapy and Immune Responses (2 papers). Michael W. Sneddon is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Cell Image Analysis Techniques (2 papers) and Immunotherapy and Immune Responses (2 papers). Michael W. Sneddon collaborates with scholars based in United States and France. Michael W. Sneddon's co-authors include Thierry Emonet, James R. Faeder, William Pontius, Ann M. Haberman, Thorsten R. Mempel, Tobias Junt, Mark J. Shlomchik, Anja E. Hauser, Steven H. Kleinstein and Sarah E. Henrickson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Development.

In The Last Decade

Michael W. Sneddon

9 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Michael W. Sneddon 405 332 101 98 65 9 818
Guillaume Voisinne 268 0.7× 398 1.2× 50 0.5× 61 0.6× 168 2.6× 18 701
Anne Reversat 204 0.5× 364 1.1× 301 3.0× 102 1.0× 84 1.3× 9 757
Satoshi Toda 437 1.1× 242 0.7× 117 1.2× 280 2.9× 78 1.2× 16 856
Miri Adler 388 1.0× 224 0.7× 83 0.8× 66 0.7× 76 1.2× 14 813
Christopher C. Govern 364 0.9× 304 0.9× 37 0.4× 46 0.5× 141 2.2× 13 725
Alex T. Ritter 303 0.7× 380 1.1× 173 1.7× 41 0.4× 154 2.4× 12 743
Mohsen Sabouri-Ghomi 456 1.1× 157 0.5× 213 2.1× 77 0.8× 68 1.0× 13 803
Sevi Durdu 463 1.1× 178 0.5× 275 2.7× 99 1.0× 123 1.9× 10 822
Erick Armingol 663 1.6× 184 0.6× 46 0.5× 128 1.3× 100 1.5× 11 930
V. Kaye Thomas 333 0.8× 542 1.6× 211 2.1× 69 0.7× 164 2.5× 11 1.0k

Countries citing papers authored by Michael W. Sneddon

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Sneddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Sneddon. 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 Michael W. Sneddon. The network helps show where Michael W. Sneddon may publish in the future.

Co-authorship network of co-authors of Michael W. Sneddon

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Sneddon. A scholar is included among the top collaborators of Michael W. Sneddon 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 Michael W. Sneddon. Michael W. Sneddon 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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