Michael Wigler

67.0k citations
218 papers · 47.0k · 24 hit papers · h-index 103

Impact in

    • Fungal and yeast genetics research
    • Protein Kinase Regulation and GTPase Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • CRISPR and Genetic Engineering
  • Cancer Research top 0.05%
    • Cancer Genomics and Diagnostics

Papers in

    • Fungal and yeast genetics research 59
    • Protein Kinase Regulation and GTPase Signaling 36
    • Genomics and Chromatin Dynamics 16
    • RNA and protein synthesis mechanisms 14
    • PI3K/AKT/mTOR signaling in cancer 13
    • Genomic variations and chromosomal abnormalities 37

Michael Wigler

215 papers receiving 44.7k citations

Michael Wigler's Hit Papers

Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders 2011 · 488 citations
4880+12+25Years since publication10002.0k3.0k

Peers

Michael Wigler
Comparison fields: 5 of 193
  • Molecular Biology 33.7k
  • Cancer Research 5.6k
  • Genetics 10.0k
  • Cell Biology 5.6k
  • Oncology 6.7k
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Citations per field
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Citations per year

Countries citing papers authored by Michael Wigler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wigler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PTEN , a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer
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19973905
2
Tumour evolution inferred by single-cell sequencing
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20111862
3
Large-Scale Copy Number Polymorphism in the Human Genome
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20041770
4
Circular binary segmentation for the analysis of array-based DNA copy number data
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20041511
5
Transformation of mammalian cells with genes from procaryotes and eucaryotes
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19791339
6
DNA-mediated transfer of the adenine phosphoribosyltransferase locus into mammalian cells.
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19791256
7
Transfer of purified herpes virus thymidine kinase gene to cultured mouse cells
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19771231
8
Biochemical transfer of single-copy eucaryotic genes using total cellular DNA as donor
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19781158
9
Cloning the Differences Between Two Complex Genomes
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19931045
10
In yeast, RAS proteins are controlling elements of adenylate cyclase
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1985996
11
The lipid phosphatase activity of PTEN is critical for its tumor supressor function
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1998978
12
Purification of a RAS-responsive adenylyl cyclase complex from Saccharomyces cerevisiae by use of an epitope addition method.
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1988885
13
Identification and Validation of Oncogenes in Liver Cancer Using an Integrative Oncogenomic Approach
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2006864
14
Human Sos1: a Guanine Nucleotide Exchange Factor for Ras that Binds to GRB2
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1993700
15
The NF1 locus encodes a protein functionally related to mammalian GAP and yeast IRA proteins
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1990684
16
P-TEN, the tumor suppressor from human chromosome 10q23, is a dual-specificity phosphatase
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1997660
17
Three different genes in S. cerevisiae encode the catalytic subunits of the cAMP-dependent protein kinase
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1987615
18
Linkage, Association, and Gene-Expression Analyses Identify CNTNAP2 as an Autism-Susceptibility Gene
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2008605
19
Activation of the T24 bladder carcinoma transforming gene is linked to a single amino acid change
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1982596
20
Multiple ras functions can contribute to mammalian cell transformation
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1995595

About Michael Wigler

Michael Wigler is a scholar working on Molecular Biology, Genetics, Cell Biology, Cancer Research and Oncology, having authored 218 papers that have together received 47.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (59 papers), Genomic variations and chromosomal abnormalities (37 papers), Protein Kinase Regulation and GTPase Signaling (36 papers), Cancer Genomics and Diagnostics (22 papers), Genomics and Chromatin Dynamics (16 papers), RNA and protein synthesis mechanisms (14 papers), Chromosomal and Genetic Variations (13 papers) and PI3K/AKT/mTOR signaling in cancer (13 papers). The work is most often cited by research in Molecular Biology (33.7k citations), Cancer Research (5.6k citations), Genetics (10.0k citations), Cell Biology (5.6k citations) and Oncology (6.7k citations). Michael Wigler has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Richard Axel, Saul J. Silverstein, Àngel Pellicer, Linda Rodgers, Daniel Broek, Mitchell Goldfarb, Scott Powers, Ottavio Fasano, Scott J. Cameron and Manuel Perucho. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Cell, Science and Genome Research.

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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