Michael Cuddy

1.6k citations
46 papers · 1.3k · h-index 20

Impact in

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

Papers in

Michael Cuddy

42 papers receiving 1.2k citations

Peers

Michael Cuddy
Comparison fields: 5 of 125
  • Oncology 300
  • Molecular Biology 819
  • Cell Biology 178
  • Immunology 172
  • Cancer Research 114
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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 46 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.
1991209
2 1988166
3 1990147
4 2009102
5 200476
6 198047
7 200645
8 200542
9 199740
10 199040
11 201136
12
Regulation of bcl-2 gene expression in lymphoid cell lines containing normal #18 or t(14;18) chromosomes.
198934
13
Phorbol ester-mediated inhibition of growth and regulation of proto-oncogene expression in the human T cell leukemia line JURKAT.
199128
14
Regulation of p26-bcl-2 protein levels in human peripheral blood lymphocytes.
199227
15 199225
16 199123
17
Differential regulation of the p72-74 RAF-1 kinase in 3T3 fibroblasts expressing ras or src oncogenes.
199123
18 201322
19 198720
20
Cell cycle analysis of p26-BCL-2 protein levels in proliferating lymphoma and leukemia cell lines.
199220

About Michael Cuddy

Michael Cuddy is a scholar working on Molecular Biology, Political Science and International Relations, General Economics, Econometrics and Finance, General Agricultural and Biological Sciences and Economics and Econometrics, having authored 46 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 (5 papers), Global trade and economics (4 papers), Regional Development and Policy (4 papers), Rural development and sustainability (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Monetary Policy and Economic Impact (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Oncology (300 citations), Molecular Biology (819 citations), Cell Biology (178 citations), Immunology (172 citations) and Cancer Research (114 citations). Michael Cuddy has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include John C. Reed, Peter C. Nowell̀, John C. Reed, Shigeki Tanaka, Carlo M. Croce, Carlo M. Croce, Subrata Haldar, David Pleasure, Lynn Meister and Katherine Bradley. Their work appears in journals such as SLAS DISCOVERY, PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and ACS Chemical Biology.

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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