Michael Wigler

67.1k citations
222 papers · 47.0k indexed · 24 hit papers · h-index 103
    • Fungal and yeast genetics research 60
    • Protein Kinase Regulation and GTPase Signaling 37
    • Genomics and Chromatin Dynamics 16
    • RNA and protein synthesis mechanisms 14
    • PI3K/AKT/mTOR signaling in cancer 13
  • Cancer Research top 0.05%
    • Cancer Genomics and Diagnostics 23
  • Genetics top 0.02%
    • Genomic variations and chromosomal abnormalities 37
  • Cell Biology top 0.05%
  • Aging top 0.5%
    • Chromosomal and Genetic Variations 15

Michael Wigler

219 papers receiving 44.7k citations

Hit Papers

Rare De Novo and Transmit...484197720261993200910002.0k3.0k

Peers

Michael Wigler
Comparison fields: 5 of 194
  • Molecular Biology 35.3k
  • Cancer Research 6.2k
  • Genetics 10.6k
  • Cell Biology 5.7k
  • Aging 460
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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-authorship network

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
#Work
1 201844
2 201586
3 2007223
4 200526
5 200353
6 2002177
7 199981
8 199771
9
Evaluation of the FHIT gene in colorectal cancers.
1996106
10 199523
11 199430
12 1993137
13 1993256
14 1993142
15 199242
16 199181
17 1990212
18
Abstracts of papers presented at the LIII Cold Spring Harbor Symposium on Quantitative Biology : the Molecular Biology of Signal Transduction, May 25-June 1, 1988
19881
19 1988327
20
INDUCTION OF OOCYTE MATURATION BY INJECTION OF ONCOGENIC H-ras PROTEIN IN THE STARFISH : Developmental Biology
19861

About Michael Wigler

Michael Wigler is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 222 papers that have together received 47.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (60 papers), Genomic variations and chromosomal abnormalities (37 papers), Protein Kinase Regulation and GTPase Signaling (37 papers), Cancer Genomics and Diagnostics (23 papers), Genomics and Chromatin Dynamics (16 papers), Chromosomal and Genetic Variations (15 papers), RNA and protein synthesis mechanisms (14 papers) and PI3K/AKT/mTOR signaling in cancer (13 papers). The work is most often cited by research in Molecular Biology (35.3k citations), Cancer Research (6.2k citations) and Genetics (10.6k citations). Michael Wigler has collaborated with scholars based in United States, Germany and Sweden. 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 Nature.

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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