Manuel Nieto‐Díaz
- Molecular Biology
- Cancer Research top 10%
- Paleontology top 5%
- Pathology and Forensic Medicine top 10%
- Ecology top 10%
- Co-authors
- Rodrigo M. MazaDavid ReigadaTeresa Muñoz‐GaldeanoManuel Nieto‐SampedroÁngela del ÁguilaCayetana Martı́nez-MazaMónica YuntaJesús Rodrı́guez
- Topics
- Spinal Cord Injury Research (11 papers)Nerve injury and regeneration (9 papers)MicroRNA in disease regulation (7 papers)
- Partner nations
- SpainUnited StatesDenmark
In The Last Decade
Manuel Nieto‐Díaz
37 papers receiving 886 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 288
- Cancer Research 199
- Paleontology 158
- Pathology and Forensic Medicine 158
- Ecology 131
Countries citing papers authored by Manuel Nieto‐Díaz
This map shows the geographic impact of Manuel Nieto‐Díaz'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 Manuel Nieto‐Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Nieto‐Díaz more than expected).
Fields of papers citing papers by Manuel Nieto‐Díaz
This network shows the impact of papers produced by Manuel Nieto‐Díaz. 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 Manuel Nieto‐Díaz. The network helps show where Manuel Nieto‐Díaz may publish in the future.
Co-authorship network of co-authors of Manuel Nieto‐Díaz
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Nieto‐Díaz. A scholar is included among the top collaborators of Manuel Nieto‐Díaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel Nieto‐Díaz. Manuel Nieto‐Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 55 | |
| 10 | 4 | |
| 11 | 27 | |
| 12 | 8 | |
| 13 | 107 | |
| 14 | 119 | |
| 15 | 21 | |
| 16 | 17 | |
| 17 | Bioestratigrafía de las faunas de mamíferos del Mioceno de Madrid: datación de las unidades estratigráficas | 4 |
| 18 | El yacimiento de el Cerro de los Batallones | 9 |
| 19 | The discovery of lower and middle Miocene vertebrates at Auchas, southern Namibia | 13 |
| 20 | El yacimiento del Aragoniense medio de La Retama (Depresión Intermedia, Provincia de Cuenca, España) : significado de las faunas con Hispanotherium = The middle Miocene locality of La Retama (Cuenca Province, Spain) : significance of the Hisp | 10 |
About Manuel Nieto‐Díaz
Manuel Nieto‐Díaz is a scholar working on Paleontology, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 42 papers that have together received 902 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (11 papers), Nerve injury and regeneration (9 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Paleontology (158 citations), Ecological Modeling (61 citations) and Cancer Research (199 citations). Manuel Nieto‐Díaz has collaborated with scholars based in Spain, United States and Denmark. Frequent co-authors include Rodrigo M. Maza, David Reigada, Teresa Muñoz‐Galdeano, Manuel Nieto‐Sampedro, Ángela del Águila, Cayetana Martı́nez-Maza, Mónica Yunta, Jesús Rodrı́guez, Joaquín Hortal and Jorge M. Lobo. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Neuroscience.
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.