Fernando Unda
Impact in
Papers in
-
- dental development and anomalies 10
- Pluripotent Stem Cells Research 6
- Cancer-related gene regulation 5
- RNA Interference and Gene Delivery 4
- Genetics 13
- Mesenchymal stem cell research 12
- Co-authors
- Gaskon Ibarretxe (29 shared papers)Yoshihiko Yamada (8 shared papers)Takashi Nakamura (8 shared papers)Jon Luzuriaga (14 shared papers)Lucía Jiménez‐Rojo (7 shared papers)Patricia García-Gallastegui (10 shared papers)Igor Irastorza (8 shared papers)Satoshi Fukumoto (3 shared papers)
- Journals
- European Cells and Materials (3 papers)International Journal of Molecular Sciences (2 papers)Biochemical and Biophysical Research Communications (2 papers)Biology of the Cell (2 papers)Frontiers in Physiology (2 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Fernando Unda
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Genetics 329
- Urology 139
- Oral Surgery 132
- Rheumatology 186
- Molecular Biology 649
Countries citing papers authored by Fernando Unda
This map shows the geographic impact of Fernando Unda'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 Fernando Unda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Unda more than expected).
Fields of papers citing papers by Fernando Unda
This network shows the impact of papers produced by Fernando Unda. 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 Fernando Unda. The network helps show where Fernando Unda may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Unda, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 99 | |
| 2 | 2012 | 93 | |
| 3 | 2006 | 88 | |
| 4 | 2015 | 75 | |
| 5 | 2003 | 75 | |
| 6 | 2000 | 65 | |
| 7 | 2021 | 57 | |
| 8 | 2016 | 47 | |
| 9 | 2018 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 1993 | 34 | |
| 12 | 2019 | 31 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2016 | 29 | |
| 16 | 2020 | 29 | |
| 17 | 2001 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2012 | 26 | |
| 20 | 2009 | 26 |
About Fernando Unda
Fernando Unda is a scholar working on Molecular Biology, Genetics, Surgery, Rheumatology and Biomedical Engineering, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), dental development and anomalies (10 papers), Bone and Dental Protein Studies (8 papers), Tissue Engineering and Regenerative Medicine (8 papers), Pluripotent Stem Cells Research (6 papers), Cancer-related gene regulation (5 papers), RNA Interference and Gene Delivery (4 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Genetics (329 citations), Urology (139 citations), Oral Surgery (132 citations), Rheumatology (186 citations) and Molecular Biology (649 citations). Fernando Unda has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Gaskon Ibarretxe, Yoshihiko Yamada, Takashi Nakamura, Jon Luzuriaga, Lucía Jiménez‐Rojo, Patricia García-Gallastegui, Igor Irastorza, Satoshi Fukumoto, José Ramón Pineda and Susana de Vega. Their work appears in journals such as European Cells and Materials, International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications, Biology of the Cell and Frontiers in Physiology.
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.