Ane Fullaondo

1.0k citations
30 papers · 533 · h-index 12

Impact in

Papers in

    • Chronic Disease Management Strategies 5
    • Healthcare Systems and Public Health 2
    • Ubiquitin and proteasome pathways 2
    • Insect Resistance and Genetics 2

Ane Fullaondo

28 papers receiving 527 citations

Peers

Ane Fullaondo
Comparison fields: 5 of 87
  • Molecular Medicine 83
  • Endocrinology 55
  • Insect Science 109
  • Immunology 135
  • Molecular Biology 239
Replace Kathrin Schlatterer with:
Kathrin Schlatterer Germany
Makoto Iwaya Japan
Elena Cardenal‐Muñoz Spain
Peter W. S. Hill United Kingdom
Romualdas Vaisvila United States
William Harley United States
Hallie P. Febvre United States
Shizuka Mita Japan
Kerstin Rydzewski Germany
Raffaele Ronca Italy
Ane Fullaondo relative to Kathrin Schlatterer Germany Kathrin Schlatterer's profile →
Citations per field
00.5×6.6×
Kathrin Schlatterer · 1×
Citations per year

Countries citing papers authored by Ane Fullaondo

Since Specialization
Citations

This map shows the geographic impact of Ane Fullaondo'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 Ane Fullaondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ane Fullaondo more than expected).

Fields of papers citing papers by Ane Fullaondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ane Fullaondo. 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 Ane Fullaondo. The network helps show where Ane Fullaondo may publish in the future.

Co-authors

The 25 scholars most cited alongside Ane Fullaondo, 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 Ane Fullaondo Line = papers co-authored together Ane Fullaondo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013127
2 201066
3 201166
4 201141
5 201441
6 200932
7 201230
8 202022
9 202021
10 201118
11 201818
12 202212
13 20186
14 20205
15 20244
16 20243
17 20183
18 20183
19 20232
20 20232

About Ane Fullaondo

Ane Fullaondo is a scholar working on Epidemiology, Molecular Biology, General Health Professions, Immunology and Economics and Econometrics, having authored 30 papers that have together received 533 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Interprofessional Education and Collaboration (3 papers), Ubiquitin and proteasome pathways (2 papers), Healthcare Systems and Public Health (2 papers), Insect Resistance and Genetics (2 papers) and Resilience and Mental Health (2 papers). The work is most often cited by research in Molecular Medicine (83 citations), Endocrinology (55 citations), Insect Science (109 citations), Immunology (135 citations) and Molecular Biology (239 citations). Ane Fullaondo has collaborated with scholars based in Spain, Italy and Norway. Frequent co-authors include So Young Lee, David Gubb, Arantza Sanz-Parra, Laurent Troxler, Ana M. Aransay, Soraya Rumbo‐Feal, Laura Álvarez-Fraga, Naiara Rodríguez‐Ezpeleta, Manuel J. Gómez and María P. Cabral. Their work appears in journals such as International Journal of Integrated Care, BMC Health Services Research, Biochimie, Children and Youth Services Review and ESMO Open.

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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