Noelia Purroy
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 17
- Chronic Lymphocytic Leukemia Research 16
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- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Francesc Bosch (11 shared papers)Pau Abrisqueta (10 shared papers)Marta Crespo (10 shared papers)Cecilia del Carmen Carpio (9 shared papers)Carlos Palacio (9 shared papers)Josep Castellví (5 shared papers)Carles Codony (1 shared paper)Maria João Baptista (1 shared paper)
- Journals
- Blood (9 papers)Oncotarget (2 papers)PLoS ONE (1 paper)Cancer Cell (1 paper)Nature Medicine (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Noelia Purroy
22 papers receiving 496 citations
Peers
Comparison fields: 5 of 56
- Genetics 230
- Pathology and Forensic Medicine 186
- Immunology 160
- Oncology 131
- Hematology 54
Countries citing papers authored by Noelia Purroy
This map shows the geographic impact of Noelia Purroy'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 Noelia Purroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelia Purroy more than expected).
Fields of papers citing papers by Noelia Purroy
This network shows the impact of papers produced by Noelia Purroy. 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 Noelia Purroy. The network helps show where Noelia Purroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Noelia Purroy, 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 | 2022 | 76 | |
| 2 | 2023 | 63 | |
| 3 | 2011 | 53 | |
| 4 | 2014 | 49 | |
| 5 | 2014 | 42 | |
| 6 | 2023 | 39 | |
| 7 | 2017 | 31 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2016 | 21 | |
| 12 | Single-cell analysis reveals immune dysfunction from the earliest stages of CLL that can be reversed by ibrutinib | 2022 | 16 |
| 13 | 2013 | 13 | |
| 14 | 2009 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2010 | 3 | |
| 17 | Co-culture of primary CLL cells with bone marrow mesenchymal cells, CD40 ligand and CpG ODN promotes proliferation of chemoresistant CLL cells phenotypically comparable to those proliferating in vivo | 2014 | 3 |
| 18 | 2020 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2014 | 2 |
About Noelia Purroy
Noelia Purroy is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Oncology and Neurology, having authored 23 papers that have together received 498 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (11 papers), Immunodeficiency and Autoimmune Disorders (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers), Phagocytosis and Immune Regulation (3 papers), Cancer Genomics and Diagnostics (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (230 citations), Pathology and Forensic Medicine (186 citations), Immunology (160 citations), Oncology (131 citations) and Hematology (54 citations). Noelia Purroy has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Francesc Bosch, Pau Abrisqueta, Marta Crespo, Cecilia del Carmen Carpio, Carlos Palacio, Josep Castellví, Carles Codony, Maria João Baptista, James Arthur Lederer and Satyen Harish Gohil. Their work appears in journals such as Blood, Oncotarget, PLoS ONE, Cancer Cell and Nature 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.