Jane Widmer

1.3k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Jane Widmer is a scholar working on Molecular Biology, Clinical Biochemistry and Cell Biology. According to data from OpenAlex, Jane Widmer has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 3 papers in Cell Biology. Recurrent topics in Jane Widmer's work include Metabolism, Diabetes, and Cancer (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Biotin and Related Studies (3 papers). Jane Widmer is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Biotin and Related Studies (3 papers). Jane Widmer collaborates with scholars based in United States, Australia and Denmark. Jane Widmer's co-authors include Lee A. Witters, Bruce E. Kemp, Guang Gao, David Stapleton, Carolina Fernández, Trazel Teh, Colin M. House, Belinda J. Michell, Ken I. Mitchelhill and Timothy M. Cox and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Jane Widmer

9 papers receiving 1.1k citations

Hit Papers

Mammalian AMP-activated Protein Kinase Subfamily 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Widmer United States 8 954 456 229 150 114 9 1.1k
Roland Tuerk Switzerland 10 704 0.7× 364 0.8× 176 0.8× 110 0.7× 116 1.0× 13 861
M. F. Vincent Belgium 15 1.0k 1.1× 446 1.0× 207 0.9× 106 0.7× 197 1.7× 26 1.3k
Cristinel P. Mı̂inea United States 6 1.3k 1.3× 626 1.4× 408 1.8× 126 0.8× 96 0.8× 7 1.5k
Rajakrishnan Veluthakal United States 22 774 0.8× 562 1.2× 179 0.8× 178 1.2× 73 0.6× 50 1.2k
Jeffrey C. Raum United States 12 798 0.8× 727 1.6× 183 0.8× 251 1.7× 123 1.1× 13 1.4k
Kazuhiro Kishi Japan 17 875 0.9× 246 0.5× 219 1.0× 132 0.9× 70 0.6× 28 1.2k
Simone Baltrusch Germany 22 701 0.7× 541 1.2× 189 0.8× 218 1.5× 112 1.0× 51 1.2k
J. Michael Moates United States 8 753 0.8× 624 1.4× 157 0.7× 376 2.5× 173 1.5× 11 1.4k
Mira M. Sachdeva United States 14 768 0.8× 355 0.8× 88 0.4× 123 0.8× 100 0.9× 24 1.3k
Mayrin Correa-Medina United States 12 418 0.4× 423 0.9× 174 0.8× 312 2.1× 79 0.7× 14 1.0k

Countries citing papers authored by Jane Widmer

Since Specialization
Citations

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

Fields of papers citing papers by Jane Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Widmer

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Widmer. A scholar is included among the top collaborators of Jane Widmer 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 Widmer. Jane Widmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Widmer, Jane, et al.. (1997). Assignment of Acetyl-CoA Carboxylase-β (ACACB) to human chromosome band 12q24.1 by in situ hybridization. Cytogenetic and Genome Research. 77(3-4). 176–177. 40 indexed citations
2.
Dyck, Jason R.B., Guang Gao, Jane Widmer, et al.. (1996). Regulation of 5′-AMP-activated Protein Kinase Activity by the Noncatalytic β and γ Subunits. Journal of Biological Chemistry. 271(30). 17798–17803. 161 indexed citations
3.
Gao, Guang, Carolina Fernández, David Stapleton, et al.. (1996). Non-catalytic - and -Subunit Isoforms of the 5′-AMP-activated Protein Kinase. Journal of Biological Chemistry. 271(15). 8675–8681. 113 indexed citations
4.
Stapleton, David, Ken I. Mitchelhill, Guang Gao, et al.. (1996). Mammalian AMP-activated Protein Kinase Subfamily. Journal of Biological Chemistry. 271(2). 611–614. 556 indexed citations breakdown →
5.
Widmer, Jane, Barbara E. Crute, Nicole King, et al.. (1996). Identification of a second human acetyl-CoA carboxylase gene. Biochemical Journal. 316(3). 915–922. 62 indexed citations
6.
Gao, Guang, Jane Widmer, David Stapleton, et al.. (1995). Catalytic subunits of the porcine and rat 5′-AMP-activated protein kinase are members of the SNF1 protein kinase family. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1266(1). 73–82. 71 indexed citations
7.
Stapleton, David, Guang Gao, Belinda J. Michell, et al.. (1994). Mammalian 5'-AMP-activated protein kinase non-catalytic subunits are homologs of proteins that interact with yeast Snf1 protein kinase.. Journal of Biological Chemistry. 269(47). 29343–29346. 111 indexed citations
8.
Bianchi, Anderson Elias, et al.. (1993). Brain Acetyl-CoA Carboxylase: Isozymic Identification and Studies of Its Regulation during Development and Altered Nutrition. Biochemical and Biophysical Research Communications. 192(2). 820–825. 17 indexed citations
9.
Witters, Lee A., et al.. (1993). Application of dual-digitonin-pulse perfusion to the study of hepatic mRNA zonation. Biochemical Journal. 294(3). 809–812. 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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