Michael Cuddy

1.6k citations
44 papers · 1.3k indexed · h-index 20

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

Michael Cuddy

41 papers receiving 1.2k citations

Peers

Michael Cuddy
Comparison fields: 5 of 126
  • Molecular Biology 816
  • Oncology 306
  • Cell Biology 183
  • Immunology 176
  • Cancer Research 123
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Citations per field
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Citations per year

Countries citing papers authored by Michael Cuddy

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cuddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Differential expression of bcl2 protooncogene in neuroblastoma and other human tumor cell lines of neural origin.
1991204
2 1988158
3 1990140
4 200997
5 200473
6 198046
7 200644
8 200542
9 199738
10 199038
11 201134
12
Regulation of bcl-2 gene expression in lymphoid cell lines containing normal #18 or t(14;18) chromosomes.
198932
13
Regulation of p26-bcl-2 protein levels in human peripheral blood lymphocytes.
199227
14
Phorbol ester-mediated inhibition of growth and regulation of proto-oncogene expression in the human T cell leukemia line JURKAT.
199127
15 199224
16 199123
17
Differential regulation of the p72-74 RAF-1 kinase in 3T3 fibroblasts expressing ras or src oncogenes.
199123
18 201322
19 198719
20
Cell cycle analysis of p26-BCL-2 protein levels in proliferating lymphoma and leukemia cell lines.
199219

About Michael Cuddy

Michael Cuddy is a scholar working on Molecular Biology, Political Science and International Relations, General Economics, Econometrics and Finance, Oncology and General Agricultural and Biological Sciences, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Ubiquitin and proteasome pathways (6 papers), Global trade and economics (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Regional Development and Policy (3 papers), Rural development and sustainability (3 papers), Autophagy in Disease and Therapy (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Molecular Biology (816 citations), Oncology (306 citations), Cell Biology (183 citations), Immunology (176 citations) and Cancer Research (123 citations). Michael Cuddy has collaborated with scholars based in United States, Ireland and Japan. Frequent co-authors include John C. Reed, Peter C. Nowell̀, John C. Reed, Shigeki Tanaka, Carlo M. Croce, Carlo M. Croce, Subrata Haldar, Lynn Meister, David Pleasure and Katherine Bradley. Their work appears in journals such as SLAS DISCOVERY, PLoS ONE, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences 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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