Noelia Purroy

65 total papers · 652 total citations
17 papers, 326 citations indexed

About

Noelia Purroy is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Noelia Purroy has authored 17 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 6 papers in Molecular Biology. Recurrent topics in Noelia Purroy's work include Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (9 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Noelia Purroy is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (9 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Noelia Purroy collaborates with scholars based in Spain, United States and Denmark. Noelia Purroy's co-authors include Marta Crespo, Pau Abrisqueta, Francesc Bosch, Cecilia Carpio, Catherine J. Wu, Carlos Palacio, Josep Castellví, Maria João Baptista, Carles Codony and Lars Rønn Olsen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Noelia Purroy

17 papers receiving 324 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noelia Purroy 158 135 120 112 85 17 326
Filippo Severin 158 1.0× 73 0.5× 97 0.8× 126 1.1× 53 0.6× 20 290
Aurélie Verney 226 1.4× 224 1.7× 77 0.6× 71 0.6× 85 1.0× 16 334
Chiyoko Ueda 187 1.2× 265 2.0× 81 0.7× 86 0.8× 142 1.7× 12 355
Julie Agopian 105 0.7× 156 1.2× 110 0.9× 72 0.6× 107 1.3× 13 299
Zsolt Zoltán Fülöp 85 0.5× 103 0.8× 142 1.2× 121 1.1× 85 1.0× 17 325
Yuanxue Huang 123 0.8× 217 1.6× 75 0.6× 96 0.9× 135 1.6× 12 345
Luca Vincenzo Cappelli 110 0.7× 138 1.0× 77 0.6× 69 0.6× 99 1.2× 20 280
Anna Petráčková 99 0.6× 104 0.8× 72 0.6× 95 0.8× 73 0.9× 18 298
José María Fernández‐Rañada 134 0.8× 94 0.7× 123 1.0× 101 0.9× 127 1.5× 16 350
Kenneth A. Foon 183 1.2× 111 0.8× 162 1.4× 101 0.9× 78 0.9× 12 352

Countries citing papers authored by Noelia Purroy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Noelia Purroy

This figure shows the co-authorship network connecting the top 25 collaborators of Noelia Purroy. A scholar is included among the top collaborators of Noelia Purroy 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 Noelia Purroy. Noelia Purroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026