Jane Sheraton

782 citations
9 papers · 674 · h-index 9

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
    • Fungal and yeast genetics research
    • RNA and protein synthesis mechanisms

Papers in

    • Fungal and yeast genetics research 5
    • Genomics and Chromatin Dynamics 2
    • Plant Gene Expression Analysis 2
    • Steroid Chemistry and Biochemistry 1
    • Genetic diversity and population structure 2
    • Genetic and phenotypic traits in livestock 1

Jane Sheraton

9 papers receiving 648 citations

Peers

Jane Sheraton
Comparison fields: 5 of 67
  • Cell Biology 182
  • Molecular Biology 564
  • Plant Science 197
  • Aging 8
  • Biotechnology 35
Replace Stephanie L. Ricupero‐Hovasse with:
Stephanie L. Ricupero‐Hovasse United States
Alexis Baudin France
Raquel Serrano Spain
J. Carlos Igual Spain
Kevin Madden United States
Dai Hirata Japan
Bernard Kudla France
Paike Jayadeva Bhat India
Rosario Cueva Spain
Robert F. Geever United States
Jane Sheraton relative to Stephanie L. Ricupero‐Hovasse United States Stephanie L. Ricupero‐Hovasse's profile →
Citations per field
00.5×1.7×
Stephanie L. Ricupero‐Hovasse · 1×
Citations per year

Countries citing papers authored by Jane Sheraton

Since Specialization
Citations

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

Fields of papers citing papers by Jane Sheraton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jane Sheraton, 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 Sheraton Line = papers co-authored together Jane Sheraton links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1997324
2 199490
3 199589
4 199652
5 199738
6 199536
7 199617
8 199615
9 199613

About Jane Sheraton

Jane Sheraton is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Surgery and Cell Biology, having authored 9 papers that have together received 674 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Genetic diversity and population structure (2 papers), Biofuel production and bioconversion (2 papers), Genomics and Chromatin Dynamics (2 papers), Plant Gene Expression Analysis (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Cell Biology (182 citations), Molecular Biology (564 citations), Plant Science (197 citations), Aging (8 citations) and Biotechnology (35 citations). Jane Sheraton has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Howard Bussey, Frans M. Klis, Arthur F. J. Ram, Bo Jiang, Jeffrey L. Brown, Marc Lussier, Anne‐Marie Sdicu, Bo Jiang, Terry Roemer and Julian Davies. Their work appears in journals such as Yeast, Journal of Bacteriology, Conservation Biology, Genetics and Canadian Journal of Zoology.

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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