Mitchell G. Thompson

2.3k citations
38 papers · 1.4k · h-index 21

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 12
    • Enzyme Catalysis and Immobilization 6
    • Bacterial biofilms and quorum sensing 5
    • CRISPR and Genetic Engineering 5
    • Antibiotic Resistance in Bacteria 9

Mitchell G. Thompson

37 papers receiving 1.3k citations

Peers

Mitchell G. Thompson
Comparison fields: 5 of 94
  • Molecular Medicine 236
  • Endocrinology 100
  • Microbiology 111
  • Molecular Biology 878
  • Biotechnology 99
Replace Joshua B. Parsons with:
Joshua B. Parsons United States
Laure Plener France
Gregory B. Whitfield Canada
Perrin Baker Canada
Jinshui Lin China
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Citations per field
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Citations per year

Countries citing papers authored by Mitchell G. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell G. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitchell G. Thompson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitchell G. Thompson Line = papers co-authored together Mitchell G. Thompson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2018123
3 2015116
4 2012110
5 202074
6 201670
7 201369
8 201666
9 201948
10 201948
11 201243
12 201843
13 201539
14 201837
15 201928
16 201627
17 202025
18 201824
19 201923
20 201122

About Mitchell G. Thompson

Mitchell G. Thompson is a scholar working on Molecular Biology, Molecular Medicine, Biomedical Engineering, Genetics and Pharmacology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Antibiotic Resistance in Bacteria (9 papers), Enzyme Catalysis and Immobilization (6 papers), Bacterial Genetics and Biotechnology (6 papers), Biofuel production and bioconversion (6 papers), Bacterial biofilms and quorum sensing (5 papers), Bacteriophages and microbial interactions (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Medicine (236 citations), Endocrinology (100 citations), Microbiology (111 citations), Molecular Biology (878 citations) and Biotechnology (99 citations). Mitchell G. Thompson has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Daniel V. Zurawski, Jay D. Keasling, Brendan W. Corey, Christopher J. Petzold, Paul D. Adams, Edward E. K. Baidoo, David W. Craft, Yuanzheng Si, Taek Soon Lee and Kevin W. George. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, ACS Synthetic Biology, Microbiology, Metabolic Engineering Communications and Scientific Reports.

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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