Iosune Baraibar
Impact in
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 36
- Colorectal Cancer Treatments and Studies 27
- Cancer Immunotherapy and Biomarkers 10
- Cancer Treatment and Pharmacology 3
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- Lung Cancer Treatments and Mutations 8
- Gastric Cancer Management and Outcomes 6
- Co-authors
- Javier Ros (29 shared papers)Elena Élez (28 shared papers)Josep Tabernero (30 shared papers)Francesc Salvà (28 shared papers)Ignacio Gil‐Bazo (5 shared papers)Christian Rolfo (4 shared papers)Marta Román (4 shared papers)Inés López (2 shared papers)
In The Last Decade
Iosune Baraibar
37 papers receiving 932 citations
Peers
Comparison fields: 5 of 71
- Oncology 485
- Cancer Research 180
- Pathology and Forensic Medicine 171
- Pulmonary and Respiratory Medicine 232
- Molecular Biology 281
Countries citing papers authored by Iosune Baraibar
This map shows the geographic impact of Iosune Baraibar'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 Iosune Baraibar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iosune Baraibar more than expected).
Fields of papers citing papers by Iosune Baraibar
This network shows the impact of papers produced by Iosune Baraibar. 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 Iosune Baraibar. The network helps show where Iosune Baraibar may publish in the future.
Co-authors
The 25 scholars most cited alongside Iosune Baraibar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 228 | |
| 2 | 2019 | 76 | |
| 3 | 2023 | 52 | |
| 4 | 2021 | 48 | |
| 5 | 2021 | 48 | |
| 6 | 2020 | 48 | |
| 7 | 2021 | 43 | |
| 8 | 2023 | 40 | |
| 9 | 2020 | 35 | |
| 10 | 2023 | 34 | |
| 11 | 2017 | 31 | |
| 12 | 2023 | 28 | |
| 13 | 2023 | 26 | |
| 14 | 2024 | 23 | |
| 15 | 2024 | 22 | |
| 16 | 2011 | 19 | |
| 17 | 2023 | 18 | |
| 18 | 2021 | 15 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 11 |
About Iosune Baraibar
Iosune Baraibar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 45 papers that have together received 944 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (27 papers), Genetic factors in colorectal cancer (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer Genomics and Diagnostics (6 papers), Gastric Cancer Management and Outcomes (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Oncology (485 citations), Cancer Research (180 citations), Pathology and Forensic Medicine (171 citations), Pulmonary and Respiratory Medicine (232 citations) and Molecular Biology (281 citations). Iosune Baraibar has collaborated with scholars based in Spain, Italy and Belgium. Frequent co-authors include Javier Ros, Elena Élez, Josep Tabernero, Francesc Salvà, Ignacio Gil‐Bazo, Christian Rolfo, Marta Román, Inés López, Silvestre Vicent and N. Saoudi Gonzalez. Their work appears in journals such as Journal of Clinical Oncology, Cancers, Annals of Oncology, ESMO Open and Expert Opinion on Investigational Drugs.
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.