Michael G. LaCelle

1.2k citations
6 papers · 987 indexed · 1 hit paper · h-index 6
Topics
Bacterial Genetics and Biotechnology (3 papers)Enzyme Structure and Function (3 papers)Hemoglobinopathies and Related Disorders (1 paper)

In The Last Decade

Michael G. LaCelle

6 papers receiving 961 citations

Hit Papers

A new enzyme superfamily — the phosphopantetheinyl transf...19962026200620161996200400600

Peers

Michael G. LaCelle
Comparison fields: 5 of 71
  • Molecular Biology 716
  • Pharmacology 437
  • Genetics 201
  • Ecology 137
  • Biotechnology 133
Replace Christopher T. Walsh with:
Christopher T. Walsh United States
Mike J. Naldrett United Kingdom
Joanne Hothersall United Kingdom
Fiona Flett United Kingdom
Nicolas Grammel Germany
Carolyn L. Ruby United States
Kristin F. Degnes Norway
Takeshi Hosaka Japan
V. S. Malik United States
Hamish A. I. McArthur United States
Michael G. LaCelle relative to Christopher T. Walsh United States Christopher T. Walsh's profile →
Citations per field
00.5×1.7×
Christopher T. Walsh · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 50
2 45
3
A new enzyme superfamily — the phosphopantetheinyl transferasesbreakdown →
677
4 94
5 106
6 15

About Michael G. LaCelle

Michael G. LaCelle is a scholar working on Biotechnology, Genetics and Genetics, having authored 6 papers that have together received 987 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Pharmacology (437 citations), Biotechnology (133 citations) and Molecular Biology (716 citations). Michael G. LaCelle has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Peter Zuber, Amy M. Gehring, Christopher T. Walsh, Ralph Reid, Chaitan Khosla, Mohamed A. Marahiel, Ralph H. Lambalot, Michiko Nakano, Keisaku Yamane and Miyuki Kumano. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology and Plant Molecular Biology Reporter.

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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