John Cort

5.1k citations
104 papers · 3.3k · h-index 32

Impact in

Papers in

    • Protein Structure and Dynamics 16
    • RNA and protein synthesis mechanisms 16
    • Genomics and Phylogenetic Studies 11
    • Lignin and Wood Chemistry 14
    • Biofuel production and bioconversion 7

John Cort

101 papers receiving 3.3k citations

Peers

John Cort
Comparison fields: 5 of 133
  • Biomedical Engineering 1.2k
  • Biotechnology 207
  • Molecular Biology 1.6k
  • Biomaterials 227
  • Spectroscopy 237
Replace Andreas Schäfer with:
Andreas Schäfer Germany
Haruo Takahashi Japan
Peter P. Gray Australia
Michael C. Flickinger United States
Min‐Kyu Oh South Korea
Yun‐Chung Leung Hong Kong
Jian Yin China
Govind Rao United States
Peter Gemeiner Slovakia
John Cort relative to Andreas Schäfer Germany Andreas Schäfer's profile →
Citations per field
00.5×2×3.1×
Andreas Schäfer · 1×
Citations per year

Countries citing papers authored by John Cort

Since Specialization
Citations

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

Fields of papers citing papers by John Cort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Cort. 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 John Cort. The network helps show where John Cort may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010332
2 2017166
3 2015154
4 2013140
5 2004131
6 2017102
7 201597
8 200596
9 201790
10 201785
11 201875
12 201873
13 201671
14 201669
15 201768
16 200663
17 201860
18 201459
19 201454
20 202153

About John Cort

John Cort is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Plant Science and Ecology, having authored 104 papers that have together received 3.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (17 papers), Protein Structure and Dynamics (16 papers), RNA and protein synthesis mechanisms (16 papers), Lignin and Wood Chemistry (14 papers), Genomics and Phylogenetic Studies (11 papers), Bacteriophages and microbial interactions (7 papers), Enzyme-mediated dye degradation (7 papers) and Biofuel production and bioconversion (7 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Biotechnology (207 citations), Molecular Biology (1.6k citations), Biomaterials (227 citations) and Spectroscopy (237 citations). John Cort has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michael A. Kennedy, Bin Yang, Nancy Isern, Blake A. Simmons, Seema Singh, Theresa A. Ramelot, Garry W. Buchko, Adelinda Yee, C.H. Arrowsmith and Yuehe Lin. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Science, Journal of Structural and Functional Genomics, Journal of the American Chemical Society and ACS Sustainable Chemistry & Engineering.

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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