Jane I. Lin

501 citations
12 papers · 386 · h-index 10

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Wnt/β-catenin signaling in development and cancer
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

Jane I. Lin

12 papers receiving 384 citations

Peers

Jane I. Lin
Comparison fields: 5 of 50
  • Cell Biology 255
  • Molecular Biology 235
  • Aging 3
  • Biochemistry 12
  • Cellular and Molecular Neuroscience 27
Replace Ian Yu with:
Ian Yu United States
Clara Sidor United Kingdom
Song Qu United States
M. Vergnolle United Kingdom
Jessica Huber Germany
Sharron Vass United Kingdom
Pavel A. Ivanov Russia
Stephen Klusza United States
Martina Santambrogio Italy
Samuel J. Bichsel Switzerland
Jane I. Lin relative to Ian Yu United States Ian Yu's profile →
Citations per field
00.5×1.5×2.1×
Ian Yu · 1×
Citations per year

Countries citing papers authored by Jane I. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jane I. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011181
2 201258
3 201135
4 201325
5 201716
6 201315
7 201514
8 201614
9 201814
10 200911
11 19772
12 20161

About Jane I. Lin

Jane I. Lin is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Immunology, having authored 12 papers that have together received 386 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Neurobiology and Insect Physiology Research (2 papers), Prenatal Screening and Diagnostics (2 papers), Insect Resistance and Genetics (2 papers), Microtubule and mitosis dynamics (2 papers), Telomeres, Telomerase, and Senescence (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Cell Biology (255 citations), Molecular Biology (235 citations), Aging (3 citations), Biochemistry (12 citations) and Cellular and Molecular Neuroscience (27 citations). Jane I. Lin has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Carole L.C. Poon, Kieran F. Harvey, Xiaomeng Zhang, Samuel A. Manning, Leonie M. Quinn, Richard B. Pearson, Ross D. Hannan, George Thomas, Nicole A. Siddall and Steven J Marygold. Their work appears in journals such as Science Signaling, Gene, Current Biology, PLoS Genetics and BMC Developmental Biology.

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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