Jane R. McLaughlin

735 citations
9 papers · 644 · h-index 8

Impact in

Papers in

    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 3
    • Advanced biosensing and bioanalysis techniques 2
    • Enzyme function and inhibition 1
    • Enzyme Catalysis and Immobilization 1
    • DNA and Nucleic Acid Chemistry 1
    • Bacterial Genetics and Biotechnology 2
    • Genomics and Rare Diseases 1

Jane R. McLaughlin

9 papers receiving 541 citations

Peers

Jane R. McLaughlin
Comparison fields: 5 of 58
  • Genetics 338
  • Molecular Medicine 51
  • Biotechnology 69
  • Molecular Biology 499
  • Ecology 152
Replace Cheryl L. Murray with:
Cheryl L. Murray United States
Greetje H. Vos‐Scheperkeuter Netherlands
Marianne Gamper Switzerland
Valérie Vagner France
B Gicquel-Sanzey France
E J Duvall United States
W S Reznikoff United States
A. Edelman United Kingdom
M A Strauch United States
Catherine Mauël Switzerland
Jane R. McLaughlin relative to Cheryl L. Murray United States Cheryl L. Murray's profile →
Citations per field
00.5×1.5×2.5×
Cheryl L. Murray · 1×
Citations per year

Countries citing papers authored by Jane R. McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Jane R. McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane R. McLaughlin. 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 Jane R. McLaughlin. The network helps show where Jane R. McLaughlin may publish in the future.

Co-authors

The 15 scholars most cited alongside Jane R. McLaughlin, 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 Jane R. McLaughlin Line = papers co-authored together Jane R. McLaughlin links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1981441
2 197669
3 199030
4 198128
5 198226
6 198123
7 198616
8 19617
9 19844

About Jane R. McLaughlin

Jane R. McLaughlin is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Health Information Management and Ecology, having authored 9 papers that have together received 644 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Enzyme function and inhibition (1 paper), Genomics and Rare Diseases (1 paper), Enzyme Catalysis and Immobilization (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Genetics (338 citations), Molecular Medicine (51 citations), Biotechnology (69 citations), Molecular Biology (499 citations) and Ecology (152 citations). Jane R. McLaughlin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Cheryl L. Murray, Jesse C. Rabinowitz, Gregory Milman, Gurdev S. Ghangas, Michael H. George, Eunil Lee, Shing Chang, A. Szent-Györgyi, Morgan Meyer and Melvin Santer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nucleic Acids Research, Gene and Journal of Bacteriology.

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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