Xavier Moles Lopez
- Biological Psychiatry top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques 5
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- Colorectal Cancer Surgical Treatments 2
- Cell Biology top 10%
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- AI in cancer detection 7
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- Radiomics and Machine Learning in Medical Imaging 2
- Monoclonal and Polyclonal Antibodies Research 2
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- Glioma Diagnosis and Treatment 2
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- Medical Image Segmentation Techniques 2
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- Cell Adhesion Molecules Research 2
- Co-authors
- Isabelle SalmonChristine DecaesteckerFlorent AllagnatSarah J. RichardsonDécio L. EizirikIhsane MarhfourNoel G. MorganPieter Demetter
- Journals
- Journal of Clinical Oncology (1 paper)PLoS ONE (3 papers)British Journal of Cancer (3 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Xavier Moles Lopez
18 papers receiving 732 citations
Peers
Comparison fields: 5 of 92
- Biological Psychiatry 78
- Biophysics 75
- Oncology 206
- Cancer Research 105
- Cell Biology 113
Countries citing papers authored by Xavier Moles Lopez
This map shows the geographic impact of Xavier Moles Lopez'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 Xavier Moles Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Moles Lopez more than expected).
Fields of papers citing papers by Xavier Moles Lopez
This network shows the impact of papers produced by Xavier Moles Lopez. 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 Xavier Moles Lopez. The network helps show where Xavier Moles Lopez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xavier Moles Lopez, 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 | 2015 | 9 | |
| 2 | 2015 | 32 | |
| 3 | 2015 | 103 | |
| 4 | Whole slide imaging and analysis for biomarker evaluation in digital pathology | 2014 | 7 |
| 5 | 2014 | 20 | |
| 6 | 2014 | 40 | |
| 7 | 2013 | 31 | |
| 8 | 2013 | 1 | |
| 9 | 2013 | 24 | |
| 10 | 2013 | 16 | |
| 11 | 2013 | 5 | |
| 12 | 2012 | 24 | |
| 13 | 2012 | 206 | |
| 14 | 2012 | 48 | |
| 15 | 2011 | 109 | |
| 16 | 2010 | 37 | |
| 17 | 2010 | 3 | |
| 18 | 2009 | 35 |
About Xavier Moles Lopez
Xavier Moles Lopez is a scholar working on Biophysics, Biological Psychiatry and Immunology and Allergy, having authored 18 papers that have together received 750 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Cell Image Analysis Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Glioma Diagnosis and Treatment (2 papers), Medical Image Segmentation Techniques (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Cell Adhesion Molecules Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biological Psychiatry (78 citations), Biophysics (75 citations) and Oncology (206 citations). Xavier Moles Lopez has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Isabelle Salmon, Christine Decaestecker, Florent Allagnat, Sarah J. Richardson, Décio L. Eizirik, Ihsane Marhfour, Noel G. Morgan, Pieter Demetter, Sandrine Rorive and Laurine Verset. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and British Journal of Cancer.
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.