Laia Querol Cano
Impact in
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- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
Papers in
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- Glycosylation and Glycoproteins Research 3
- Heat shock proteins research 3
- S100 Proteins and Annexins 3
- Ubiquitin and proteasome pathways 2
- ATP Synthase and ATPases Research 2
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- Galectins and Cancer Biology 4
- Co-authors
- Charlotte L. Bevan (3 shared papers)Derek N. Lavery (3 shared papers)Anna-Pavlina G. Haramis (2 shared papers)Yme U. van der Velden (1 shared paper)Liqin Wang (1 shared paper)Annemiek B. van Spriel (5 shared papers)Greg N. Brooke (2 shared papers)Willem‐Jan Keune (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Annals of Oncology (3 papers)Cell Reports (2 papers)Molecular Oncology (1 paper)iScience (1 paper)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Laia Querol Cano
17 papers receiving 254 citations
Peers
Comparison fields: 5 of 57
- Immunology 70
- Cancer Research 32
- Molecular Biology 153
- Pulmonary and Respiratory Medicine 55
- Cell Biology 29
Countries citing papers authored by Laia Querol Cano
This map shows the geographic impact of Laia Querol Cano'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 Querol Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laia Querol Cano more than expected).
Fields of papers citing papers by Laia Querol Cano
This network shows the impact of papers produced by Laia Querol Cano. 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 Querol Cano. The network helps show where Laia Querol Cano may publish in the future.
Co-authors
The 25 scholars most cited alongside Laia Querol Cano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 53 | |
| 2 | 2013 | 36 | |
| 3 | 2012 | 34 | |
| 4 | 2019 | 33 | |
| 5 | 2014 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Laia Querol Cano
Laia Querol Cano is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Heat shock proteins research (3 papers), S100 Proteins and Annexins (3 papers), Prostate Cancer Treatment and Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Medical Imaging Techniques and Applications (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Immunology (70 citations), Cancer Research (32 citations), Molecular Biology (153 citations), Pulmonary and Respiratory Medicine (55 citations) and Cell Biology (29 citations). Laia Querol Cano has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Charlotte L. Bevan, Derek N. Lavery, Anna-Pavlina G. Haramis, Yme U. van der Velden, Liqin Wang, Annemiek B. van Spriel, Greg N. Brooke, Willem‐Jan Keune, Tota Giardoglou and Ben Joosten. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cell Reports, Molecular Oncology and iScience.
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.