Michael Tasch
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Cell death mechanisms and regulation
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Hedgehog Signaling Pathway Studies 1
-
- Atherosclerosis and Cardiovascular Diseases 1
- Complement system in diseases 1
- Co-authors
- Matthew L. Fero (2 shared papers)Roger M. Perlmutter (2 shared papers)James M. Roberts (2 shared papers)Virginia C. Broudy (1 shared paper)Michael J. Rivkin (1 shared paper)Li-Huei Tsai (1 shared paper)Peggy L. Porter (1 shared paper)Eduardo Firpo (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)The Journal of Immunology (1 paper)npj Vaccines (1 paper)Cell (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Tasch
6 papers receiving 1.4k citations
Michael Tasch's Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 816
- Molecular Biology 950
- Cell Biology 203
- Cancer Research 157
- Biotechnology 89
Countries citing papers authored by Michael Tasch
This map shows the geographic impact of Michael Tasch'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 Tasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tasch more than expected).
Fields of papers citing papers by Michael Tasch
This network shows the impact of papers produced by Michael Tasch. 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 Tasch. The network helps show where Michael Tasch may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Tasch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Syndrome of Multiorgan Hyperplasia with Features of Gigantism, Tumorigenesis, and Female Sterility in p27 -Deficient Mice Hit paper breakdown → | 1996 | 1262 |
| 2 | 2003 | 69 | |
| 3 | 2012 | 21 | |
| 4 | 1984 | 19 | |
| 5 | 2007 | 18 | |
| 6 | 2022 | 10 |
About Michael Tasch
Michael Tasch is a scholar working on Molecular Biology, Immunology, Oncology, Biotechnology and Infectious Diseases, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Cancer Research and Treatments (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Complement system in diseases (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Oncology (816 citations), Molecular Biology (950 citations), Cell Biology (203 citations), Cancer Research (157 citations) and Biotechnology (89 citations). Michael Tasch has collaborated with scholars based in United States. Frequent co-authors include Matthew L. Fero, Roger M. Perlmutter, James M. Roberts, Virginia C. Broudy, Michael J. Rivkin, Li-Huei Tsai, Peggy L. Porter, Eduardo Firpo, Kenneth Kaushansky and Kornélia Polyák. Their work appears in journals such as Journal of Lipid Research, The Journal of Immunology, npj Vaccines, Cell and PLoS Genetics.
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.