Jane I. Lin

501 total citations
12 papers, 386 citations indexed

About

Jane I. Lin is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jane I. Lin has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jane I. Lin's work include Hippo pathway signaling and YAP/TAZ (3 papers), Invertebrate Immune Response Mechanisms (2 papers) and Prenatal Screening and Diagnostics (2 papers). Jane I. Lin is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), Invertebrate Immune Response Mechanisms (2 papers) and Prenatal Screening and Diagnostics (2 papers). Jane I. Lin collaborates with scholars based in Australia, United States and Netherlands. Jane I. Lin's co-authors include Kieran F. Harvey, Carole L.C. Poon, Xiaomeng Zhang, Samuel A. Manning, Leonie M. Quinn, Richard B. Pearson, Ross D. Hannan, Steven J Marygold, Amanda Lee and Nicole A. Siddall and has published in prestigious journals such as Nucleic Acids Research, Current Biology and Developmental Cell.

In The Last Decade

Jane I. Lin

12 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jane I. Lin Australia 10 255 235 39 38 28 12 386
Sharron Vass United Kingdom 9 160 0.6× 373 1.6× 20 0.5× 131 3.4× 19 0.7× 13 442
Sally Fujiyama‐Nakamura Japan 7 63 0.2× 274 1.2× 34 0.9× 52 1.4× 17 0.6× 8 327
Ian Yu United States 4 163 0.6× 233 1.0× 33 0.8× 13 0.3× 14 0.5× 7 303
Kassiani Skouloudaki Germany 8 136 0.5× 199 0.8× 15 0.4× 16 0.4× 13 0.5× 10 277
Stephen Klusza United States 5 414 1.6× 428 1.8× 37 0.9× 61 1.6× 29 1.0× 7 630
Nachen Yang United States 6 221 0.9× 362 1.5× 46 1.2× 105 2.8× 48 1.7× 6 443
Kristiane Søreng Norway 5 174 0.7× 138 0.6× 9 0.2× 29 0.8× 20 0.7× 7 354
Koen J.C. Verbrugghe United States 8 371 1.5× 377 1.6× 23 0.6× 103 2.7× 15 0.5× 10 514
Allana Schooley Germany 12 128 0.5× 416 1.8× 16 0.4× 23 0.6× 9 0.3× 14 467
Clara Sidor United Kingdom 6 136 0.5× 233 1.0× 30 0.8× 92 2.4× 22 0.8× 7 320

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-authorship network of co-authors of Jane I. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jane I. Lin. A scholar is included among the top collaborators of Jane I. Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jane I. Lin. Jane I. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Cuman, Carly, et al.. (2018). Defining the limits of detection for chromosome rearrangements in the preimplantation embryo using next generation sequencing. Human Reproduction. 33(8). 1566–1576. 14 indexed citations
2.
Chan, F. Lyn, Karel Novy, Ralf B. Schittenhelm, et al.. (2017). Aurora Kinase B, a novel regulator of TERF1 binding and telomeric integrity. Nucleic Acids Research. 45(21). 12340–12353. 16 indexed citations
3.
4.
Hung, Sandy, Rachel Lee, Katherine M. Hannan, et al.. (2016). Cell cycle and growth stimuli regulate different steps of RNA polymerase I transcription. Gene. 612. 36–48. 14 indexed citations
5.
Lin, Jane I., Linda M. Parsons, Katarzyna Jastrzebski, et al.. (2015). S6 Kinase is essential for MYC-dependent rDNA transcription in Drosophila. Cellular Signalling. 27(10). 2045–2053. 14 indexed citations
6.
Lin, Jane I., et al.. (2013). The Ecdysone receptor constrains wingless expression to pattern cell cycle across the Drosophilawing margin in a cyclin B-dependent manner. BMC Developmental Biology. 13(1). 28–28. 15 indexed citations
7.
Lin, Jane I., Carole L.C. Poon, & Kieran F. Harvey. (2013). The Hippo Size Control Pathway—Ever Expanding. Science Signaling. 6(259). pe4–pe4. 25 indexed citations
8.
Poon, Carole L.C., Xiaomeng Zhang, Jane I. Lin, Samuel A. Manning, & Kieran F. Harvey. (2012). Homeodomain-Interacting Protein Kinase Regulates Hippo Pathway-Dependent Tissue Growth. Current Biology. 22(17). 1587–1594. 58 indexed citations
9.
Lin, Jane I., Mary J. Stewart, Steven J Marygold, et al.. (2011). Drosophila Ribosomal Protein Mutants Control Tissue Growth Non-Autonomously via Effects on the Prothoracic Gland and Ecdysone. PLoS Genetics. 7(12). e1002408–e1002408. 35 indexed citations
10.
Poon, Carole L.C., Jane I. Lin, Xiaomeng Zhang, & Kieran F. Harvey. (2011). The Sterile 20-like Kinase Tao-1 Controls Tissue Growth by Regulating the Salvador-Warts-Hippo Pathway. Developmental Cell. 21(5). 896–906. 181 indexed citations
11.
Siddall, Nicole A., Jane I. Lin, Gary R. Hime, & Leonie M. Quinn. (2009). Myc - What We have Learned from Flies. Current Drug Targets. 10(7). 590–601. 11 indexed citations
12.
Tsung, Swei H., et al.. (1977). BUDD-CHIARI SYNDROME IN WOMEN TAKING ORAL CONTRACEPTIVES. InPharma. 112(1). 3–3. 2 indexed citations

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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