Saioa Goñi

1.3k citations
28 papers · 900 indexed · h-index 16

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Saioa Goñi

24 papers receiving 883 citations

Peers

Saioa Goñi
Comparison fields: 5 of 88
  • Hepatology 137
  • Cancer Research 171
  • Molecular Biology 504
  • Cell Biology 98
  • Oncology 156
Replace Alyssa Charrier with:
Alyssa Charrier United States
Nobuyuki Nishizawa Japan
Bai Ruan China
Marie‐José Blouin Canada
Wenfang Tian China
Shengsheng Yang China
Bart Westendorp Netherlands
William Puszyk United States
Sang Jae Noh South Korea
Kensuke Kojima Japan
Saioa Goñi relative to Alyssa Charrier United States Alyssa Charrier's profile →
Citations per field
00.5×1.5×
Alyssa Charrier · 1×
Citations per year

Countries citing papers authored by Saioa Goñi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Saioa Goñi Line = papers co-authored together Saioa Goñi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20238
5 20235
6 20223
7 202152
8 20210
9 202132
10 202015
11 201948
12 201669
13 201520
14 2010105
15 201025
16 200946
17 20094
18 200815
19 2008129
20 199518

About Saioa Goñi

Saioa Goñi is a scholar working on Obstetrics and Gynecology, Hepatology, Cancer Research, Oncology and Geriatrics and Gerontology, having authored 28 papers that have together received 900 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Maternal and Perinatal Health Interventions (3 papers), Renal cell carcinoma treatment (2 papers), Liver physiology and pathology (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Hepatology (137 citations), Cancer Research (171 citations), Molecular Biology (504 citations), Cell Biology (98 citations) and Oncology (156 citations). Saioa Goñi has collaborated with scholars based in Spain, France and Sweden. Frequent co-authors include Carmen Berasain, Jesús Prìeto, Matías A. Ávila, María U. Latasa, María J. Perugorria, Josefa Castillo, Raquel Urtasun, María Elizalde, Oihane García‐Irigoyen and Eckardt Treuter. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Hepatology, Obstetrical & Gynecological Survey and Nature Medicine.

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.

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