Laia Bernet

405 total citations
25 papers, 229 citations indexed

About

Laia Bernet is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Laia Bernet has authored 25 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 14 papers in Pathology and Forensic Medicine and 14 papers in Oncology. Recurrent topics in Laia Bernet's work include Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (11 papers) and HER2/EGFR in Cancer Research (7 papers). Laia Bernet is often cited by papers focused on Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (11 papers) and HER2/EGFR in Cancer Research (7 papers). Laia Bernet collaborates with scholars based in Spain, United States and Italy. Laia Bernet's co-authors include Marco Bustamante, Begoña Vieites, Xavier Matías‐Guiu, José Palacios, Marcos Martı́nez, Ricardo Rezola, Francisco J. Sevilla, Irene Sansano, Martín Espinosa-Bravo and Ana Velasco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Histopathology.

In The Last Decade

Laia Bernet

22 papers receiving 223 citations

Peers

Laia Bernet
Comparison fields: 5 of 37
  • Cancer Research 127
  • Oncology 123
  • Pathology and Forensic Medicine 105
  • Surgery 57
  • Pulmonary and Respiratory Medicine 48
Replace Lizhen Zhu with:
Lizhen Zhu China
C.F.J.M. Blanken-Peeters Netherlands
E.A. Kouwenhoven Netherlands
Hope Rugo United States
Niedzica Camacho United States
Simone Zanotti Italy
Katalin Ormándi Hungary
Qiaoqi Sui China
Kaisa Sunela Finland
Clémentine Jankowski France
Lizhen Zhu China View profile →
Citations per field, relative to Laia Bernet
Laia Bernet · 1×
Citations per year, relative to Laia Bernet
Laia Bernet · 1×

Countries citing papers authored by Laia Bernet

Since Specialization
Citations

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

Fields of papers citing papers by Laia Bernet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laia Bernet

This figure shows the co-authorship network connecting the top 25 collaborators of Laia Bernet. A scholar is included among the top collaborators of Laia Bernet 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 Laia Bernet. Laia Bernet 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
# Work Indexed citations
1 0
2 3
3 17
4 34
5 20
6 15
7 0
8 10
9 3
10 2
11
Molecular analysis of sentinel lymph nodes and search for molecular signatures of the metastatic potential of breast cancer.
4
12 11
13 1
14 55
15 10
16 7
17 2
18
Assessing the reproducibility of the microscopic diagnosis of sessile serrated adenoma of the colon.
19
19 6
20 1

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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