Ronald T. Hay

30.3k citations
247 papers · 24.3k indexed · 7 hit papers · h-index 83
Topics
Ubiquitin and proteasome pathways (128 papers)Virus-based gene therapy research (44 papers)NF-κB Signaling Pathways (37 papers)

In The Last Decade

Ronald T. Hay

247 papers receiving 24.0k citations

Hit Papers

SUMO1992202620032014200519981992200120084008001.2k

Peers

Ronald T. Hay
Comparison fields: 5 of 150
  • Molecular Biology 19.5k
  • Oncology 6.6k
  • Immunology 4.4k
  • Cancer Research 4.1k
  • Genetics 3.3k
Replace Eileen White with:
Eileen White United States
David Komander United Kingdom
Aaron Ciechanover Israel
Cecile M. Pickart United States
Yoshihide Tsujimoto Japan
David C.S. Huang Australia
Yue Xiong United States
John L. Cleveland United States
Tullia Lindsten United States
Kris Gevaert Belgium
Ronald T. Hay relative to Eileen White United States Eileen White's profile →
Citations per field
00.5×1.5×
Eileen White · 1×
Citations per year

Countries citing papers authored by Ronald T. Hay

Since Specialization
Citations

This map shows the geographic impact of Ronald T. Hay'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 Ronald T. Hay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald T. Hay more than expected).

Fields of papers citing papers by Ronald T. Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald T. Hay. 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 Ronald T. Hay. The network helps show where Ronald T. Hay may publish in the future.

Co-authorship network of co-authors of Ronald T. Hay

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald T. Hay. A scholar is included among the top collaborators of Ronald T. Hay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronald T. Hay. Ronald T. Hay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 25
3 15
4 9
5 11
6 45
7 38
8 24
9 19
10 58
11 24
12 60
13 49
14 110
15 283
16 106
17 52
18
Human immunodeficiency virus type 1 (HIV-1) viral protein R (Vpr) interacts with Lys-tRNA synthetase
1
19 11
20 13

About Ronald T. Hay

Ronald T. Hay is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 247 papers that have together received 24.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (128 papers), Virus-based gene therapy research (44 papers) and NF-κB Signaling Pathways (37 papers). The work is most often cited by research in Molecular Biology (19.5k citations), Cancer Research (4.1k citations) and Oncology (6.6k citations). Ronald T. Hay has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Manuel S. Rodríguez, Joana Desterro, Ellis Jaffray, Michael H. Tatham, Catherine Dargemont, James R. Matthews, James H. Naismith, David P. Lane, Anna Plechanovová and Marie‐Claude Geoffroy. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026