María Luisa Botero
- Cancer Research top 10%
- Oncology top 10%
- HER2/EGFR in Cancer Research 2
- Genetics top 10%
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- Cancer therapeutics and mechanisms 1
- Pathology and Forensic Medicine top 10%
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- Gastroesophageal reflux and treatments 2
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- Helicobacter pylori-related gastroenterology studies 2
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- Lung Cancer Treatments and Mutations 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- Liver Disease and Transplantation 1
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- Microbial Metabolites in Food Biotechnology 1
- Co-authors
- Laura C. CollinsStuart J. SchnittVanesa ValeroSerena Di CosimoFrancesco AtzoriBen MarkmanCarlos Garcı́a-Echeverrı́aJosé Baselga
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
María Luisa Botero
11 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 204
- Oncology 322
- Genetics 95
- Molecular Biology 538
- Pathology and Forensic Medicine 129
Countries citing papers authored by María Luisa Botero
This map shows the geographic impact of María Luisa Botero'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 María Luisa Botero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Luisa Botero more than expected).
Fields of papers citing papers by María Luisa Botero
This network shows the impact of papers produced by María Luisa Botero. 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 María Luisa Botero. The network helps show where María Luisa Botero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Luisa Botero, 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 | 2020 | 1 | |
| 2 | 2019 | 3 | |
| 3 | 2015 | 2 | |
| 4 | 2014 | 34 | |
| 5 | 2014 | 3 | |
| 6 | 2013 | 5 | |
| 7 | 2012 | 2 | |
| 8 | NVP-BEZ235, a Dual PI3K/mTOR Inhibitor, Prevents PI3K Signaling and Inhibits the Growth of Cancer Cells with Activating PI3K Mutationsbreakdown → | 2008 | 626 |
| 9 | 2005 | 132 | |
| 10 | 2005 | 34 | |
| 11 | 2004 | 2 |
About María Luisa Botero
María Luisa Botero is a scholar working on Gastroenterology, Hepatology and Oncology, having authored 11 papers that have together received 844 indexed citations. Recurring topics across this work include Gastroesophageal reflux and treatments (2 papers), HER2/EGFR in Cancer Research (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer therapeutics and mechanisms (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Liver Disease and Transplantation (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Cancer Research (204 citations), Oncology (322 citations) and Genetics (95 citations). María Luisa Botero has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Laura C. Collins, Stuart J. Schnitt, Vanesa Valero, Serena Di Cosimo, Francesco Atzori, Ben Markman, Carlos Garcı́a-Echeverrı́a, José Baselga, Elisabeth Llonch and Michel Maira. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.
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.