Lara Nonell
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
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- Circular RNAs in diseases 3
- Molecular Biology Techniques and Applications 3
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Eulàlia Puigdecanet (16 shared papers)Manuel Comabella (3 shared papers)Florian Deisenhammer (3 shared papers)Jordi Río (3 shared papers)Xavier Montalbán (3 shared papers)Isaac Subirana (4 shared papers)Eva Julià (2 shared papers)Cristina López (2 shared papers)
- Journals
- PLoS ONE (4 papers)Biomedicines (3 papers)Scientific Reports (2 papers)Journal of Clinical Medicine (2 papers)Blood (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Lara Nonell
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 236
- Immunology 279
- Pathology and Forensic Medicine 215
- Dermatology 98
- Oncology 294
Countries citing papers authored by Lara Nonell
This map shows the geographic impact of Lara Nonell'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 Lara Nonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lara Nonell more than expected).
Fields of papers citing papers by Lara Nonell
This network shows the impact of papers produced by Lara Nonell. 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 Lara Nonell. The network helps show where Lara Nonell may publish in the future.
Co-authors
The 25 scholars most cited alongside Lara Nonell, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 170 | |
| 2 | 2015 | 74 | |
| 3 | 2014 | 69 | |
| 4 | 2013 | 69 | |
| 5 | 2018 | 68 | |
| 6 | 2019 | 66 | |
| 7 | 2017 | 56 | |
| 8 | 2015 | 49 | |
| 9 | 2012 | 40 | |
| 10 | 2021 | 35 | |
| 11 | 2008 | 35 | |
| 12 | 2011 | 33 | |
| 13 | 2019 | 32 | |
| 14 | 2021 | 28 | |
| 15 | 2017 | 28 | |
| 16 | 2013 | 26 | |
| 17 | 2022 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2018 | 19 | |
| 20 | 2017 | 18 |
About Lara Nonell
Lara Nonell is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Circular RNAs in diseases (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Molecular Biology Techniques and Applications (3 papers), Cutaneous lymphoproliferative disorders research (3 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Cancer Research (236 citations), Immunology (279 citations), Pathology and Forensic Medicine (215 citations), Dermatology (98 citations) and Oncology (294 citations). Lara Nonell has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Eulàlia Puigdecanet, Manuel Comabella, Florian Deisenhammer, Jordi Río, Xavier Montalbán, Isaac Subirana, Eva Julià, Cristina López, Ramón M. Pujol and Roland Martinꝉ. Their work appears in journals such as PLoS ONE, Biomedicines, Scientific Reports, Journal of Clinical Medicine and Blood.
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.