Michael P. Scheid
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 18
- PI3K/AKT/mTOR signaling in cancer 12
- Cell death mechanisms and regulation 8
- Ubiquitin and proteasome pathways 5
- Sphingolipid Metabolism and Signaling 3
- Melanoma and MAPK Pathways 2
- Immunology top 5%
- Cancer Research top 5%
- Cell Biology top 5%
- Oncology top 5%
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- Cancer Mechanisms and Therapy 2
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- Adipose Tissue and Metabolism 2
- Co-authors
- James R. WoodgettVincent DuronioKathryn SchubertPaola A. MarignaniSusan EttingerGary SweeneyAmber L. CouzensMaddy Parsons
- Journals
- Journal of Biological Chemistry (9 papers)Cellular Signalling (3 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Michael P. Scheid
35 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 2.7k
- Immunology 573
- Cancer Research 380
- Cell Biology 403
- Oncology 564
Countries citing papers authored by Michael P. Scheid
This map shows the geographic impact of Michael P. Scheid'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 P. Scheid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Scheid more than expected).
Fields of papers citing papers by Michael P. Scheid
This network shows the impact of papers produced by Michael P. Scheid. 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 P. Scheid. The network helps show where Michael P. Scheid may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael P. Scheid, 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 | 2014 | 14 | |
| 2 | 2013 | 16 | |
| 3 | 2012 | 58 | |
| 4 | 2008 | 14 | |
| 5 | 2008 | 8 | |
| 6 | 2005 | 269 | |
| 7 | 2003 | 325 | |
| 8 | 2002 | 68 | |
| 9 | 2002 | 143 | |
| 10 | PKB/AKT: functional insights from genetic modelsbreakdown → | 2001 | 517 |
| 11 | 2001 | 32 | |
| 12 | 2000 | 47 | |
| 13 | 2000 | 232 | |
| 14 | 2000 | 162 | |
| 15 | 1999 | 348 | |
| 16 | 1999 | 49 | |
| 17 | 1996 | 55 | |
| 18 | 1996 | 18 | |
| 19 | 1995 | 105 | |
| 20 | 1993 | 8 |
About Michael P. Scheid
Michael P. Scheid is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Endocrine and Autonomic Systems and Cancer Research, having authored 35 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (18 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Cell death mechanisms and regulation (8 papers), Ubiquitin and proteasome pathways (5 papers), Sphingolipid Metabolism and Signaling (3 papers), Cancer Mechanisms and Therapy (2 papers), Adipose Tissue and Metabolism (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Immunology (573 citations), Cancer Research (380 citations), Cell Biology (403 citations) and Oncology (564 citations). Michael P. Scheid has collaborated with scholars based in Canada, United States and France. Frequent co-authors include James R. Woodgett, Vincent Duronio, Kathryn Schubert, Paola A. Marignani, Susan Ettinger, Gary Sweeney, Amber L. Couzens, Maddy Parsons, Jacqueline E. Damen and Michael Huber. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Molecular and Cellular Biology, Current Biology and Biochemical Journal.
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.