Peter J. Hurlin

3.4k citations
47 papers · 2.0k indexed · h-index 27

Impact in

    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Cancer-related gene regulation
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 15
    • Ubiquitin and proteasome pathways 12
    • Wnt/β-catenin signaling in development and cancer 9
    • Cancer-related gene regulation 7
    • Genomics and Chromatin Dynamics 6
    • Fibroblast Growth Factor Research 4

Peter J. Hurlin

47 papers receiving 2.0k citations

Peers

Peter J. Hurlin
Comparison fields: 5 of 88
  • Molecular Biology 1.6k
  • Oncology 580
  • Cancer Research 296
  • Cell Biology 181
  • Aging 19
Replace Kevin Myant with:
Kevin Myant United Kingdom
Yasuhiko Takahashi Japan
Richard N. Freiman United States
Nikolaos G. Kastrinakis Greece
Cyril Berthet United States
Andrea Cocito Italy
Simon J. A. Buczacki United Kingdom
Nikita Popov Germany
Junko Odajima United States
Naomi Halachmi Israel
Peter J. Hurlin relative to Kevin Myant United Kingdom Kevin Myant's profile →
Citations per field
00.5×1.5×
Kevin Myant · 1×
Citations per year

Countries citing papers authored by Peter J. Hurlin

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Hurlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Hurlin. 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 Peter J. Hurlin. The network helps show where Peter J. Hurlin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 202011
3 201940
4 201711
5 201612
6 201429
7 201427
8 201329
9 201220
10 201118
11 200919
12 200628
13 200543
14 200371
15 200285
16 199925
17 199849
18 1998109
19 199449
20 199177

About Peter J. Hurlin

Peter J. Hurlin is a scholar working on Oncology, Molecular Biology, Developmental Biology, Genetics and Cell Biology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (12 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Cancer-related gene regulation (7 papers), Genomics and Chromatin Dynamics (6 papers), Virus-based gene therapy research (5 papers), Fibroblast Growth Factor Research (4 papers) and Connective tissue disorders research (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Oncology (580 citations), Cancer Research (296 citations), Cell Biology (181 citations) and Aging (19 citations). Peter J. Hurlin has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Robert N. Eisenman, Christophe Quéva, Sara Ota, Zi-Qiang Zhou, Jie Huang, J. Justin McCormick, C. William Hooker, Zi-Qiang Zhou, Kevin P. Foley and Dennis G. Fry. Their work appears in journals such as Human Molecular Genetics, The EMBO Journal, Proceedings of the National Academy of Sciences, Oncogene and Journal of Biological Chemistry.

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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