Jesse D. McCool

665 citations
8 papers · 523 · h-index 7

Impact in

  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • DNA Repair Mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry
    • Enzyme Catalysis and Immobilization

Papers in

    • DNA Repair Mechanisms 4
    • Microbial Metabolic Engineering and Bioproduction 2
    • Protein purification and stability 1
    • Bacterial Genetics and Biotechnology 5

Jesse D. McCool

8 papers receiving 511 citations

Peers

Jesse D. McCool
Comparison fields: 5 of 63
  • Genetics 233
  • Molecular Biology 426
  • Molecular Medicine 27
  • Biotechnology 35
  • Endocrinology 18
Replace Stéphanie Champ with:
Stéphanie Champ France
Ryosuke Kadoya Japan
Xuewen Cui China
Xiangli Zhang China
Zhe Zhao China
Joost Teixeira de Mattos Netherlands
Lothar Jaensch Germany
Liat Bahari Israel
Aaron D. Smith United States
Razika Hussein United States
Jesse D. McCool relative to Stéphanie Champ France Stéphanie Champ's profile →
Citations per field
00.5×1.5×2.4×
Stéphanie Champ · 1×
Citations per year

Countries citing papers authored by Jesse D. McCool

Since Specialization
Citations

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

Fields of papers citing papers by Jesse D. McCool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse D. McCool. 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 Jesse D. McCool. The network helps show where Jesse D. McCool may publish in the future.

Co-authors

The 25 scholars most cited alongside Jesse D. McCool, 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 Jesse D. McCool Line = papers co-authored together Jesse D. McCool links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2010156
2 2004145
3 200554
4 200150
5 200149
6 200435
7 201929
8 20205

About Jesse D. McCool

Jesse D. McCool is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Oncology and Biomaterials, having authored 8 papers that have together received 523 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), DNA Repair Mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein purification and stability (1 paper), Biofuel production and bioconversion (1 paper), Microbial Fuel Cells and Bioremediation (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Genetics (233 citations), Molecular Biology (426 citations), Molecular Medicine (27 citations), Biotechnology (35 citations) and Endocrinology (18 citations). Jesse D. McCool has collaborated with scholars based in United States and Germany. Frequent co-authors include Steven J. Sandler, Hilary A. Sandler, Edward R. Long, Susan M. Rosenberg, Joseph F. Petrosino, Gavin C. Barnard, David W. Wood, Tillman U. Gerngross, Nicky C. Caiazza and Trisha F. Barrett. Their work appears in journals such as Molecular Microbiology, Journal of Industrial Microbiology & Biotechnology, Applied and Environmental Microbiology, Proceedings of the National Academy of Sciences and Genetics.

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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