Michael J. Nohaile

10 total papers · 639 total citations
7 papers, 547 citations indexed

About

Michael J. Nohaile is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Michael J. Nohaile has authored 7 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Michael J. Nohaile's work include Bacterial Genetics and Biotechnology (2 papers), Biochemical and Structural Characterization (2 papers) and Computational Drug Discovery Methods (2 papers). Michael J. Nohaile is often cited by papers focused on Bacterial Genetics and Biotechnology (2 papers), Biochemical and Structural Characterization (2 papers) and Computational Drug Discovery Methods (2 papers). Michael J. Nohaile collaborates with scholars based in United States and Switzerland. Michael J. Nohaile's co-authors include Sydney Kustu, David E. Wemmer, Brian F. Volkman, Dorothee Kern, Michael R. Botchan, Liu Yang, Ian Mohr, Daniel A. Lim, Peter Luginbühl and Robert T. Sauer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael J. Nohaile

7 papers receiving 534 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 J. Nohaile 391 241 112 90 66 7 547
K.H. Sreedhara Swamy 348 0.9× 124 0.5× 46 0.4× 112 1.2× 50 0.8× 13 568
Cindy M. Quezada 308 0.8× 152 0.6× 46 0.4× 75 0.8× 111 1.7× 11 567
Gershon Celniker 392 1.0× 92 0.4× 53 0.5× 49 0.5× 24 0.4× 10 580
Dominique Villeval 315 0.8× 223 0.9× 81 0.7× 57 0.6× 95 1.4× 14 520
Rei Matsuoka 267 0.7× 77 0.3× 158 1.4× 39 0.4× 28 0.4× 14 588
Chi-Min Ho 330 0.8× 73 0.3× 39 0.3× 36 0.4× 46 0.7× 10 606
Marc J. Canova 393 1.0× 163 0.7× 118 1.1× 48 0.5× 34 0.5× 13 547
Kensey R. Amaya 467 1.2× 114 0.5× 46 0.4× 49 0.5× 49 0.7× 9 592
Hans van der Zandt 313 0.8× 129 0.5× 39 0.3× 47 0.5× 50 0.8× 9 472
Joachim Vogt 359 0.9× 133 0.6× 48 0.4× 58 0.6× 28 0.4× 8 502

Countries citing papers authored by Michael J. Nohaile

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Nohaile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Nohaile

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