Laura Camacho
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Small Animals top 10%
- Animal Behavior and Welfare Studies
Papers in
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- Sphingolipid Metabolism and Signaling 3
- Kruppel-like factors research 2
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- Veterinary Oncology Research 2
- Prostate Cancer Treatment and Research 2
- Co-authors
- Paola A. Guerrero (2 shared papers)Philippe Marchetti (2 shared papers)Juan Carlos Illera (5 shared papers)A. González Gil (4 shared papers)Gema Silván (3 shared papers)Ana Piñeiro (1 shared paper)Isabel Barja (1 shared paper)Arkaitz Carracedo (5 shared papers)
- Journals
- Cancers (3 papers)Cancer Research (2 papers)Analytica Chimica Acta (2 papers)British Journal of Haematology (1 paper)Biomedicines (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Laura Camacho
19 papers receiving 522 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 148
- Small Animals 55
- Genetics 66
- Hematology 50
- Molecular Biology 270
Countries citing papers authored by Laura Camacho
This map shows the geographic impact of Laura Camacho'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 Laura Camacho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Camacho more than expected).
Fields of papers citing papers by Laura Camacho
This network shows the impact of papers produced by Laura Camacho. 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 Laura Camacho. The network helps show where Laura Camacho may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Camacho, 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 | 97 | |
| 2 | 2007 | 87 | |
| 3 | 2018 | 63 | |
| 4 | 2018 | 53 | |
| 5 | 2019 | 49 | |
| 6 | 2017 | 35 | |
| 7 | 2014 | 22 | |
| 8 | 2020 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2006 | 12 | |
| 14 | 2013 | 9 | |
| 15 | 2023 | 6 | |
| 16 | 2006 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2016 | 1 | |
| 20 | Ecocardiografía transesofágica en la detección de endocarditis infecciosa en niños | 1999 | 0 |
About Laura Camacho
Laura Camacho is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cell Biology and Small Animals, having authored 20 papers that have together received 534 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Kruppel-like factors research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Acute Myeloid Leukemia Research (2 papers), Veterinary Oncology Research (2 papers), Adipose Tissue and Metabolism (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Cancer Research (148 citations), Small Animals (55 citations), Genetics (66 citations), Hematology (50 citations) and Molecular Biology (270 citations). Laura Camacho has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Paola A. Guerrero, Philippe Marchetti, Juan Carlos Illera, A. González Gil, Gema Silván, Ana Piñeiro, Isabel Barja, Arkaitz Carracedo, Antonio Gómez‐Muñoz and Verónica Torrano. Their work appears in journals such as Cancers, Cancer Research, Analytica Chimica Acta, British Journal of Haematology and Biomedicines.
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.