Corey Lourenco

1.6k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Ubiquitin and proteasome pathways (7 papers)Protein Degradation and Inhibitors (5 papers)Genomics and Chromatin Dynamics (5 papers)
Partner nations
CanadaSwedenItaly

In The Last Decade

Corey Lourenco

13 papers receiving 1.1k citations

Hit Papers

MYC protein interactors in gene transcription and cancer2021202620222024202150100150200

Peers

Corey Lourenco
Comparison fields: 5 of 92
  • Molecular Biology 827
  • Oncology 283
  • Cancer Research 189
  • Genetics 105
  • Cell Biology 94
Replace Geneviève Lavoie with:
Geneviève Lavoie Canada
Natalie Meyer Canada
Gabi Tarcic United States
Ye Xu United States
Monideepa Roy United States
Daniel Y.L. Mao Canada
Mikołaj Słabicki Germany
Apoorva Baluapuri Germany
Marina K. Ayrapetov United States
Lykourgos‐Panagiotis Zalmas United Kingdom
Corey Lourenco relative to Geneviève Lavoie Canada Geneviève Lavoie's profile →
Citations per field
00.5×1.5×2.5×
Geneviève Lavoie · 1×
Citations per year

Countries citing papers authored by Corey Lourenco

Since Specialization
Citations

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

Fields of papers citing papers by Corey Lourenco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corey Lourenco

This figure shows the co-authorship network connecting the top 25 collaborators of Corey Lourenco. A scholar is included among the top collaborators of Corey Lourenco 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 Corey Lourenco. Corey Lourenco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 18
2 26
3
MYC protein interactors in gene transcription and cancerbreakdown →
209
4 17
5 86
6 120
7 44
8 30
9 5
10 285
11 96
12 60
13 101

About Corey Lourenco

Corey Lourenco is a scholar working on Modeling and Simulation, Biophysics and Oncology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Cancer Research (189 citations), Molecular Biology (827 citations) and Oncology (283 citations). Corey Lourenco has collaborated with scholars based in Canada, Sweden and Italy. Frequent co-authors include Linda Z. Penn, Diana Resetca, William B. Tu, Manpreet Kalkat, Brian Raught, Jason De Melo, Maria Sunnerhagen, Yong Wei, C.H. Arrowsmith and David W. Andrews. Their work appears in journals such as Nature Communications, Nature reviews. Cancer 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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