Nuno Neto
Impact in
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Biophysics top 10%
Papers in
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- Single-cell and spatial transcriptomics 2
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- Systemic Lupus Erythematosus Research 4
- Osteoarthritis Treatment and Mechanisms 2
- Co-authors
- Michael G. Monaghan (18 shared papers)Ruslan I. Dmitriev (2 shared papers)Dmitri B. Papkovsky (1 shared paper)Irina A. Okkelman (1 shared paper)Sinead A O’Rourke (4 shared papers)Aisling Dunne (4 shared papers)Douglas J. Veale (4 shared papers)Achilleas Floudas (5 shared papers)
- Journals
- Annals of the Rheumatic Diseases (2 papers)Lab on a Chip (1 paper)Atherosclerosis (1 paper)Scientific Reports (1 paper)Journal of Tissue Engineering and Regenerative Medicine (1 paper)
- Partner nations
- IrelandUnited StatesCanada
In The Last Decade
Nuno Neto
22 papers receiving 423 citations
Peers
Comparison fields: 5 of 90
- Rheumatology 76
- Biophysics 32
- Immunology 96
- Geriatrics and Gerontology 11
- Hematology 26
Countries citing papers authored by Nuno Neto
This map shows the geographic impact of Nuno Neto'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 Nuno Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuno Neto more than expected).
Fields of papers citing papers by Nuno Neto
This network shows the impact of papers produced by Nuno Neto. 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 Nuno Neto. The network helps show where Nuno Neto may publish in the future.
Co-authors
The 25 scholars most cited alongside Nuno Neto, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2022 | 50 | |
| 3 | 2020 | 47 | |
| 4 | 2022 | 36 | |
| 5 | 2020 | 35 | |
| 6 | 2021 | 31 | |
| 7 | 2021 | 27 | |
| 8 | 2024 | 26 | |
| 9 | 2022 | 23 | |
| 10 | 2017 | 19 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Nuno Neto
Nuno Neto is a scholar working on Molecular Biology, Rheumatology, Immunology, Biomedical Engineering and Physiology, having authored 23 papers that have together received 425 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), 3D Printing in Biomedical Research (4 papers), Osteoarthritis Treatment and Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Cancer Cells and Metastasis (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Rheumatology (76 citations), Biophysics (32 citations), Immunology (96 citations), Geriatrics and Gerontology (11 citations) and Hematology (26 citations). Nuno Neto has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Michael G. Monaghan, Ruslan I. Dmitriev, Dmitri B. Papkovsky, Irina A. Okkelman, Sinead A O’Rourke, Aisling Dunne, Douglas J. Veale, Achilleas Floudas, Ursula Fearon and Ronan Mullan. Their work appears in journals such as Annals of the Rheumatic Diseases, Lab on a Chip, Atherosclerosis, Scientific Reports 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.