Edurne Berra

11.3k citations
69 papers · 9.4k indexed · 3 hit papers · h-index 43

Edurne Berra

67 papers receiving 9.2k citations

Hit Papers

Prolyl hydroxylase-1 negatively regulates IκB kinase-β, g...62719992026200820172505007501000

Peers

Edurne Berra
Comparison fields: 5 of 140
  • Cancer Research 4.7k
  • Molecular Biology 6.0k
  • Biochemistry 401
  • Aging 84
  • Cell Biology 770
Replace Eric Huang with:
Eric Huang United States
Jung‐whan Kim United States
Panu Jaakkola Finland
Mridul Mukherji United States
Eric Metzen Germany
Nicholas Denko United States
Michael Ohh Canada
Alex von Kriegsheim United Kingdom
Ya‐Min Tian United Kingdom
Brian Keith United States
Edurne Berra relative to Eric Huang United States Eric Huang's profile →
Citations per field
00.5×1.5×
Eric Huang · 1×
Citations per year

Countries citing papers authored by Edurne Berra

Since Specialization
Citations

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

Fields of papers citing papers by Edurne Berra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 202247
4 20213
5 202124
6 202141
7 201420
8 2013244
9 201037
10 200617
11 2004471
12 2004120
13
HIF prolyl-hydroxylase 2 is the key oxygen sensor setting low steady-state levels of HIF-1  in normoxiabreakdown →
20031106
14 2001119
15 2001148
16 2000119
17 200086
18 1998227
19 1997150
20 1993342

About Edurne Berra

Edurne Berra is a scholar working on Cancer Research, Molecular Biology, Aging, Oncology and Cell Biology, having authored 69 papers that have together received 9.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (37 papers), Cancer-related Molecular Pathways (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Adipose Tissue and Metabolism (9 papers), Mitochondrial Function and Pathology (8 papers), Angiogenesis and VEGF in Cancer (8 papers), Ubiquitin and proteasome pathways (7 papers) and High Altitude and Hypoxia (5 papers). The work is most often cited by research in Cancer Research (4.7k citations), Molecular Biology (6.0k citations), Biochemistry (401 citations), Aging (84 citations) and Cell Biology (770 citations). Edurne Berra has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Jacques Pouysségur, Darren E. Richard, María T. Díaz‐Meco, Jorge Moscat, M.M. Municio, Laura Sanz, Emmanuel Gothié, José Lozano, Amandine Ginouvès and Danièle Roux. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The EMBO Journal, Cell and Journal of Cell Science.

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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