Michael P. Scheid

4.6k citations
36 papers · 4k · h-index 24

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Cell death mechanisms and regulation
    • Protein Kinase Regulation and GTPase Signaling
    • Sphingolipid Metabolism and Signaling
    • Protein Tyrosine Phosphatases
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Mast cells and histamine

Papers in

    • PI3K/AKT/mTOR signaling in cancer 19
    • Protein Kinase Regulation and GTPase Signaling 11
    • Cell death mechanisms and regulation 4
    • Protein Tyrosine Phosphatases 2
    • Sphingolipid Metabolism and Signaling 2
    • T-cell and B-cell Immunology 3
    • Mast cells and histamine 3

Michael P. Scheid

36 papers receiving 3.9k citations

Peers

Michael P. Scheid
Comparison fields: 5 of 91
  • Molecular Biology 2.2k
  • Immunology 351
  • Neurology 234
  • Endocrinology 54
  • Cancer Research 174
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Citations per field
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Citations per year

Countries citing papers authored by Michael P. Scheid

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Michael P. Scheid Line = papers co-authored together Michael P. Scheid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001543
2 1999349
3 2003336
4 2002286
5 2005272
6 1998271
7 2000236
8 2014195
9 1998174
10 2000169
11 2002148
12 1998131
13 1999113
14 1995101
15 200577
16 200269
17 201262
18 200054
19 199652
20 199952

About Michael P. Scheid

Michael P. Scheid is a scholar working on Molecular Biology, Immunology, Cancer Research, Toxicology and Physiology, having authored 36 papers that have together received 4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (19 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Cell death mechanisms and regulation (4 papers), T-cell and B-cell Immunology (3 papers), Mast cells and histamine (3 papers), Protein Tyrosine Phosphatases (2 papers), NF-κB Signaling Pathways (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Immunology (351 citations), Neurology (234 citations), Endocrinology (54 citations) and Cancer Research (174 citations). Michael P. Scheid has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include James Robert Woodgett, Vincent Duronio, Kathryn M. Schubert, Paola A. Marignani, Susan Ettinger, Gerald Krystal, Michael Huber, Gary Sweeney, R. Keith Humphries and Cheryl D. Helgason. 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.

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