Sergio Piñeiro‐Hermida
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Metal complexes synthesis and properties
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- Asthma and respiratory diseases
- Telomeres, Telomerase, and Senescence
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 2
- Metal complexes synthesis and properties 2
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- Asthma and respiratory diseases 5
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- José G. Pichel (15 shared papers)Icíar P. López (14 shared papers)Elvira Alfaro‐Arnedo (9 shared papers)Marı́a A. Blasco (5 shared papers)Paula Martínez (4 shared papers)Elena Lalinde (3 shared papers)Maria Teresa Moreno (3 shared papers)Ester Blanco (9 shared papers)
In The Last Decade
Sergio Piñeiro‐Hermida
34 papers receiving 699 citations
Peers
Comparison fields: 5 of 56
- Oncology 144
- Physiology 93
- Aging 5
- Pulmonary and Respiratory Medicine 71
- Immunology 36
Countries citing papers authored by Sergio Piñeiro‐Hermida
This map shows the geographic impact of Sergio Piñeiro‐Hermida'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 Sergio Piñeiro‐Hermida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Piñeiro‐Hermida more than expected).
Fields of papers citing papers by Sergio Piñeiro‐Hermida
This network shows the impact of papers produced by Sergio Piñeiro‐Hermida. 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 Sergio Piñeiro‐Hermida. The network helps show where Sergio Piñeiro‐Hermida may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Piñeiro‐Hermida, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 65 | |
| 2 | 2022 | 58 | |
| 3 | 2020 | 46 | |
| 4 | 2017 | 40 | |
| 5 | 2017 | 40 | |
| 6 | 2015 | 38 | |
| 7 | 2019 | 35 | |
| 8 | 2022 | 34 | |
| 9 | 2016 | 27 | |
| 10 | 2021 | 27 | |
| 11 | 2014 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 22 | |
| 15 | 2023 | 21 | |
| 16 | 2012 | 18 | |
| 17 | 2022 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2022 | 14 |
About Sergio Piñeiro‐Hermida
Sergio Piñeiro‐Hermida is a scholar working on Oncology, Physiology, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 34 papers that have together received 719 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Asthma and respiratory diseases (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Telomeres, Telomerase, and Senescence (3 papers), CAR-T cell therapy research (2 papers), Metal complexes synthesis and properties (2 papers), Forensic and Genetic Research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Oncology (144 citations), Physiology (93 citations), Aging (5 citations), Pulmonary and Respiratory Medicine (71 citations) and Immunology (36 citations). Sergio Piñeiro‐Hermida has collaborated with scholars based in Spain, Sweden and Germany. Frequent co-authors include José G. Pichel, Icíar P. López, Elvira Alfaro‐Arnedo, Marı́a A. Blasco, Paula Martínez, Elena Lalinde, Maria Teresa Moreno, Ester Blanco, Luisa Chocarro and David Escors. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Biomedicines, Cancers and Forensic Science International Genetics.
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.