Celia R. Berkers

7.8k citations
76 papers · 5.3k indexed · 2 hit papers · h-index 31
Topics
Ubiquitin and proteasome pathways (24 papers)Peptidase Inhibition and Analysis (12 papers)Protein Degradation and Inhibitors (12 papers)

In The Last Decade

Celia R. Berkers

74 papers receiving 5.2k citations

Hit Papers

Serine starvation induces stress and p53-dependent metabo...200520262012201920122005200400600

Peers

Celia R. Berkers
Comparison fields: 5 of 115
  • Molecular Biology 3.9k
  • Oncology 1.4k
  • Cancer Research 1.2k
  • Immunology 714
  • Hematology 688
Replace Jennifer S. Carew with:
Jennifer S. Carew United States
Alex N. Bullock United Kingdom
Shi‐Yong Sun United States
Igor Vivanco United States
Ceshi Chen China
Shigeo Sato Japan
Deborah A. Altomare United States
Steffan T. Nawrocki United States
Paul T. Kirschmeier United States
Jianbiao Zhou Singapore
Celia R. Berkers relative to Jennifer S. Carew United States Jennifer S. Carew's profile →
Citations per field
00.5×2.7×
Jennifer S. Carew · 1×
Citations per year

Countries citing papers authored by Celia R. Berkers

Since Specialization
Citations

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

Fields of papers citing papers by Celia R. Berkers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celia R. Berkers. 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 Celia R. Berkers. The network helps show where Celia R. Berkers may publish in the future.

Co-authorship network of co-authors of Celia R. Berkers

This figure shows the co-authorship network connecting the top 25 collaborators of Celia R. Berkers. A scholar is included among the top collaborators of Celia R. Berkers 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 Celia R. Berkers. Celia R. Berkers 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 0
2 1
3 2
4 10
5 3
6 5
7 6
8 1
9 1
10 11
11 15
12 50
13 48
14 117
15 55
16 110
17 24
18 19
19 163
20 70

About Celia R. Berkers

Celia R. Berkers is a scholar working on Cancer Research, Oncology and Hematology, having authored 76 papers that have together received 5.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (24 papers), Peptidase Inhibition and Analysis (12 papers) and Protein Degradation and Inhibitors (12 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hematology (688 citations) and Molecular Biology (3.9k citations). Celia R. Berkers has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Huib Ovaa, Esther A. Zaal, Karen H. Vousden, Oliver D.K. Maddocks, Hidde L. Ploegh, Susan Mason, Liang Zheng, Eyal Gottlieb, Karen Blyth and M. Groll. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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