Iván Martín
- Urology top 0.02%
- Periodontal Regeneration and Treatments 73
- Rheumatology top 0.02%
- Osteoarthritis Treatment and Mechanisms 154
- Genetics top 0.05%
- Mesenchymal stem cell research 111
- Biomaterials top 0.05%
- Electrospun Nanofibers in Biomedical Applications 44
- Orthopedics and Sports Medicine top 0.2%
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- 3D Printing in Biomedical Research 69
- Bone Tissue Engineering Materials 59
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- Knee injuries and reconstruction techniques 66
- Tissue Engineering and Regenerative Medicine 56
- Co-authors
- David WendtMichael HebererAndrea BarberoGordana Vunjak‐NovakovicLisa E. FreedMarcel JakobRóbert LangerArnaud Scherberich
- Cited by
- UrologyRheumatologyGenetics
- Journals
- Biomaterials (26 papers)Tissue Engineering Part A (18 papers)European Cells and Materials (13 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Iván Martín
375 papers receiving 27.3k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Urology 4.7k
- Rheumatology 8.8k
- Genetics 5.9k
- Biomaterials 6.9k
- Orthopedics and Sports Medicine 2.0k
Countries citing papers authored by Iván Martín
This map shows the geographic impact of Iván Martín'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 Iván Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Martín more than expected).
Fields of papers citing papers by Iván Martín
This network shows the impact of papers produced by Iván Martín. 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 Iván Martín. The network helps show where Iván Martín may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iván Martín, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 17 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 44 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 33 | |
| 12 | 2020 | 40 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 28 | |
| 15 | 2019 | 125 | |
| 16 | 2017 | 8 | |
| 17 | 2017 | 26 | |
| 18 | 2014 | 88 | |
| 19 | 2013 | 258 | |
| 20 | 2007 | 163 |
About Iván Martín
Iván Martín is a scholar working on Urology, Rheumatology and Genetics, having authored 386 papers that have together received 28.1k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (154 papers), Mesenchymal stem cell research (111 papers), Periodontal Regeneration and Treatments (73 papers), 3D Printing in Biomedical Research (69 papers), Knee injuries and reconstruction techniques (66 papers), Bone Tissue Engineering Materials (59 papers), Tissue Engineering and Regenerative Medicine (56 papers) and Electrospun Nanofibers in Biomedical Applications (44 papers). The work is most often cited by research in Urology (4.7k citations), Rheumatology (8.8k citations) and Genetics (5.9k citations). Iván Martín has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include David Wendt, Michael Heberer, Andrea Barbero, Gordana Vunjak‐Novakovic, Lisa E. Freed, Marcel Jakob, Róbert Langer, Arnaud Scherberich, M. Heberer and Bojana Obradović. Their work appears in journals such as Biomaterials, Tissue Engineering Part A, European Cells and Materials, Cytotherapy and Journal of Tissue Engineering and Regenerative 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.