Michael Downey

2.0k citations
39 papers · 1.4k · h-index 19

Impact in

  • Aging top 5%
  • Genetics top 5%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema

Papers in

    • Ubiquitin and proteasome pathways 7
    • Genomics and Chromatin Dynamics 5
    • RNA Research and Splicing 4
    • Histone Deacetylase Inhibitors Research 4
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 13

Michael Downey

38 papers receiving 1.4k citations

Peers

Michael Downey
Comparison fields: 5 of 98
  • Aging 56
  • Genetics 171
  • Molecular Biology 1.1k
  • Geriatrics and Gerontology 54
  • Oncology 246
Replace Carsten Jacobi with:
Carsten Jacobi Switzerland
Wen‐Chih Lee Taiwan
Tae Jun Park South Korea
Anling Liu China
Xiaodong Mu United States
Yuqing Zhang China
Shoko Yamamoto Japan
Kumiko Tamura Japan
Fan Zhao China
Kanchan Phadwal United Kingdom
Michael Downey relative to Carsten Jacobi Switzerland Carsten Jacobi's profile →
Citations per field
00.5×2.7×
Carsten Jacobi · 1×
Citations per year

Countries citing papers authored by Michael Downey

Since Specialization
Citations

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

Fields of papers citing papers by Michael Downey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005385
2 2006142
3 200878
4 202264
5 200864
6 201857
7 201451
8 201941
9 202040
10 200640
11 201339
12 201433
13 202132
14 201831
15 200229
16 202027
17 200527
18 202323
19 202319
20 201918

About Michael Downey

Michael Downey is a scholar working on Molecular Biology, Genetics, Oncology, Geriatrics and Gerontology and Biomaterials, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers), Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (7 papers), Genomics and Chromatin Dynamics (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), RNA Research and Splicing (4 papers), biodegradable polymer synthesis and properties (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Aging (56 citations), Genetics (171 citations), Molecular Biology (1.1k citations), Geriatrics and Gerontology (54 citations) and Oncology (246 citations). Michael Downey has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Daniel Durocher, Alix Denoncourt, Nevan J. Krogan, Andrew Emili, Sarah Galicia, Jack Greenblatt, Jung‐Ae Kim, Stephen Buratowski, Dipanjan Chowdhury and Nira Datta. Their work appears in journals such as Cell Reports, mBio, Current Biology, FEBS Letters and Molecular Cell.

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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