Michael G. LaCelle

13 total papers · 1.2k total citations
6 papers, 984 citations indexed

About

Michael G. LaCelle is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Michael G. LaCelle has authored 6 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Michael G. LaCelle's work include Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers) and Plant Virus Research Studies (1 paper). Michael G. LaCelle is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers) and Plant Virus Research Studies (1 paper). Michael G. LaCelle collaborates with scholars based in United States, Japan and Germany. Michael G. LaCelle's co-authors include Peter Zuber, Amy M. Gehring, Ralph H. Lambalot, Mohamed A. Marahiel, Ralph Reid, Chaitan Khosla, Christopher T. Walsh, Michiko Nakano, Keisaku Yamane and Miyuki Kumano and has published in prestigious journals such as Journal of Bacteriology, Molecular Microbiology and Plant Molecular Biology Reporter.

In The Last Decade

Michael G. LaCelle

6 papers receiving 958 citations

Hit Papers

A new enzyme superfamily ... 1996 2026 2006 2016 1996 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Michael G. LaCelle 716 437 201 136 133 6 984
Christopher T. Walsh 821 1.1× 484 1.1× 198 1.0× 93 0.7× 132 1.0× 10 1.2k
Arne R. Strøm 547 0.8× 315 0.7× 129 0.6× 102 0.8× 88 0.7× 14 887
Hidekazu Nakazawa 783 1.1× 511 1.2× 53 0.3× 91 0.7× 184 1.4× 11 1.2k
Olena Perlova 728 1.0× 566 1.3× 70 0.3× 83 0.6× 287 2.2× 15 1.1k
Stephen W. Queener 767 1.1× 506 1.2× 207 1.0× 48 0.4× 119 0.9× 18 1.0k
Nicolas Grammel 530 0.7× 382 0.9× 49 0.2× 86 0.6× 107 0.8× 12 928
Hiten M. Patel 627 0.9× 367 0.8× 149 0.7× 27 0.2× 107 0.8× 12 860
J T Tsay 596 0.8× 144 0.3× 94 0.5× 46 0.3× 88 0.7× 10 893
Keith M. Gewain 800 1.1× 742 1.7× 181 0.9× 75 0.6× 162 1.2× 12 1.1k
Jason T. Bouvier 733 1.0× 159 0.4× 85 0.4× 77 0.6× 110 0.8× 11 1.1k

Countries citing papers authored by Michael G. LaCelle

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. LaCelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael G. LaCelle

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