Xavier Matías‐Guiu
- Obstetrics and Gynecology top 0.05%
- Endometrial and Cervical Cancer Treatments 79
- Reproductive Medicine top 0.05%
- Ovarian cancer diagnosis and treatment 86
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 42
- Oncology top 0.5%
- Cancer-related Molecular Pathways 25
- Pathology and Forensic Medicine top 0.2%
- Genetic factors in colorectal cancer 46
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- Thyroid Cancer Diagnosis and Treatment 38
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- PI3K/AKT/mTOR signaling in cancer 22
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- Neuroendocrine Tumor Research Advances 21
- Co-authors
- Jaime PratXavier DolcetDavid Llobet‐NavàsJudit PallarésLluís CatasúsElena BussagliaSónia GatiusMarı́a Santacana
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Xavier Matías‐Guiu
416 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Obstetrics and Gynecology 4.1k
- Reproductive Medicine 3.8k
- Cancer Research 3.5k
- Oncology 4.2k
- Pathology and Forensic Medicine 2.4k
Countries citing papers authored by Xavier Matías‐Guiu
This map shows the geographic impact of Xavier Matías‐Guiu'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 Matías‐Guiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Matías‐Guiu more than expected).
Fields of papers citing papers by Xavier Matías‐Guiu
This network shows the impact of papers produced by Xavier Matías‐Guiu. 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 Matías‐Guiu. The network helps show where Xavier Matías‐Guiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xavier Matías‐Guiu, 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 | 2023 | 7 | |
| 2 | 2023 | 2 | |
| 3 | FIGO staging of endometrial cancer: 2023breakdown → | 2023 | 112 |
| 4 | 2023 | 1 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 36 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 32 | |
| 12 | 2020 | 17 | |
| 13 | Clinicopathological and molecular characterisation of ‘multiple‐classifier’ endometrial carcinomasbreakdown → | 2019 | 255 |
| 14 | 2017 | 35 | |
| 15 | 2017 | 50 | |
| 16 | 2017 | 28 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 20 | |
| 19 | 2014 | 11 | |
| 20 | 2012 | 65 |
About Xavier Matías‐Guiu
Xavier Matías‐Guiu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 435 papers that have together received 16.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (86 papers), Endometrial and Cervical Cancer Treatments (79 papers), Genetic factors in colorectal cancer (46 papers), Cancer Genomics and Diagnostics (42 papers), Thyroid Cancer Diagnosis and Treatment (38 papers), Cancer-related Molecular Pathways (25 papers), PI3K/AKT/mTOR signaling in cancer (22 papers) and Neuroendocrine Tumor Research Advances (21 papers). The work is most often cited by research in Obstetrics and Gynecology (4.1k citations), Reproductive Medicine (3.8k citations) and Cancer Research (3.5k citations). Xavier Matías‐Guiu has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Jaime Prat, Xavier Dolcet, David Llobet‐Navàs, Judit Pallarés, Lluís Catasús, Elena Bussaglia, Sónia Gatius, Marı́a Santacana, José Palacios and Gema Moreno‐Bueno.
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.