Saioa Goñi
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Gut microbiota and health 2
- Histone Deacetylase Inhibitors Research 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 6
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Jesús Prìeto (10 shared papers)Matías A. Ávila (10 shared papers)Carmen Berasain (10 shared papers)María U. Latasa (9 shared papers)Josefa Castillo (4 shared papers)María J. Perugorria (4 shared papers)Raquel Urtasun (6 shared papers)Oihane García‐Irigoyen (3 shared papers)
In The Last Decade
Saioa Goñi
25 papers receiving 903 citations
Peers
Comparison fields: 5 of 83
- Hepatology 121
- Cancer Research 138
- Molecular Biology 453
- Cell Biology 88
- Oncology 127
Countries citing papers authored by Saioa Goñi
This map shows the geographic impact of Saioa Goñi'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 Saioa Goñi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saioa Goñi more than expected).
Fields of papers citing papers by Saioa Goñi
This network shows the impact of papers produced by Saioa Goñi. 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 Saioa Goñi. The network helps show where Saioa Goñi may publish in the future.
Co-authors
The 25 scholars most cited alongside Saioa Goñi, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 129 | |
| 2 | 2010 | 105 | |
| 3 | 2009 | 104 | |
| 4 | 2016 | 71 | |
| 5 | 2009 | 63 | |
| 6 | 2014 | 59 | |
| 7 | 2011 | 56 | |
| 8 | 2021 | 54 | |
| 9 | 2019 | 48 | |
| 10 | 2009 | 46 | |
| 11 | 2021 | 33 | |
| 12 | 2010 | 25 | |
| 13 | 2015 | 20 | |
| 14 | 1995 | 18 | |
| 15 | 2008 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2001 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 6 |
About Saioa Goñi
Saioa Goñi is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 27 papers that have together received 920 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Renal cell carcinoma treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Gut microbiota and health (2 papers), Histone Deacetylase Inhibitors Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Hepatology (121 citations), Cancer Research (138 citations), Molecular Biology (453 citations), Cell Biology (88 citations) and Oncology (127 citations). Saioa Goñi has collaborated with scholars based in Spain, France and Sweden. Frequent co-authors include Jesús Prìeto, Matías A. Ávila, Carmen Berasain, María U. Latasa, Josefa Castillo, María J. Perugorria, Raquel Urtasun, Oihane García‐Irigoyen, María Elizalde and Eckardt Treuter. Their work appears in journals such as Cancers, Hepatology, International Journal of Molecular Sciences, Experimental Biology and Medicine and Pharmaceutics.
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.