Matilde Cañelles

711 total citations
23 papers, 567 citations indexed

About

Matilde Cañelles is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Matilde Cañelles has authored 23 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Matilde Cañelles's work include COVID-19 Clinical Research Studies (4 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Matilde Cañelles is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Matilde Cañelles collaborates with scholars based in Spain, Italy and United States. Matilde Cañelles's co-authors include Javier León, B. J. Fowlkes, M. Dolores Delgado, Ana Lerga, J. Maíz Apellániz, N. Benı́tez, Dalal El‐Khoury, Paul E. Love, Carlos Richard and Jan Lee and has published in prestigious journals such as Physical Review Letters, Blood and Nature Immunology.

In The Last Decade

Matilde Cañelles

23 papers receiving 555 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matilde Cañelles Spain 12 261 182 124 56 52 23 567
Christine Jelinek United States 10 250 1.0× 37 0.2× 48 0.4× 34 0.6× 24 0.5× 13 450
Jarny Choi Australia 9 194 0.7× 75 0.4× 26 0.2× 67 1.2× 69 1.3× 18 392
Xiaoli Shen United States 19 356 1.4× 200 1.1× 214 1.7× 29 0.5× 6 0.1× 39 803
J Milner United Kingdom 16 597 2.3× 53 0.3× 516 4.2× 36 0.6× 17 0.3× 25 916
Emma Carrick United Kingdom 10 253 1.0× 174 1.0× 70 0.6× 58 1.0× 111 2.1× 15 568
Martino Monteverde Italy 18 224 0.9× 52 0.3× 212 1.7× 64 1.1× 5 0.1× 38 753
G.B. Mills United States 11 492 1.9× 45 0.2× 253 2.0× 18 0.3× 47 0.9× 19 859
Hao Ning China 14 248 1.0× 60 0.3× 62 0.5× 117 2.1× 12 0.2× 50 534
Sumit Chakraborty India 11 262 1.0× 75 0.4× 107 0.9× 8 0.1× 20 0.4× 24 652
Haruo Ohtani Japan 10 171 0.7× 53 0.3× 174 1.4× 23 0.4× 14 0.3× 10 448

Countries citing papers authored by Matilde Cañelles

Since Specialization
Citations

This map shows the geographic impact of Matilde Cañelles'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 Matilde Cañelles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matilde Cañelles more than expected).

Fields of papers citing papers by Matilde Cañelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilde Cañelles. 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 Matilde Cañelles. The network helps show where Matilde Cañelles may publish in the future.

Co-authorship network of co-authors of Matilde Cañelles

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

All Works

20 of 20 papers shown
1.
2.
Pfeifer, Norbert, et al.. (2021). Nomogramm zur Risikostratifizierung von COVID-19-Patienten mit interstitieller Pneumonie in der Notaufnahme. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 117(2). 120–128. 1 indexed citations
3.
Cañelles, Matilde & Mercedes Jiménez. (2021). Eficacia y efectos secundarios de las cuatro vacunas aprobadas contra la COVID-19. 1 indexed citations
4.
Jiménez, Mercedes, Nuria E. Campillo, & Matilde Cañelles. (2020). COVID-19 Vaccine Race: Analysis of Age-Dependent Immune Responses against SARS-CoV-2 Indicates that more than Just One Strategy May Be Needed. Current Medicinal Chemistry. 28(20). 3964–3979. 11 indexed citations
5.
Turcato, Gianni, Arian Zaboli, Christoph Scheurer, et al.. (2020). Clinical application of the COVID-19 Reporting and Data System (CO-RADS) in patients with suspected SARS-CoV-2 infection: observational study in an emergency department. Clinical Radiology. 76(1). 74.e23–74.e29. 8 indexed citations
6.
Baldan, Federica, Patrizia Tulissi, M Gropuzzo, et al.. (2019). Tacrolimus Therapeutic Drug Monitoring in Stable Kidney Transplantation and Individuation of CYP3A5 Genotype. Transplantation Proceedings. 51(9). 2917–2920. 6 indexed citations
7.
Lafita‐Navarro, M. Carmen, Rocío Aguado, Lucia García-Gutiérrez, et al.. (2016). NUMB inactivation confers resistance to imatinib in chronic myeloid leukemia cells. Cancer Letters. 375(1). 92–99. 4 indexed citations
8.
Bretones, Gabriel, Aldo Borroto, Isabella Screpanti, et al.. (2015). CD3ε recruits Numb to promote TCR degradation. International Immunology. 28(3). 127–137. 12 indexed citations
9.
Checquolo, Saula, Francesca Del Gaudio, Rocco Palermo, et al.. (2014). Numb-dependent integration of pre-TCR and p53 function in T-cell precursor development. Cell Death and Disease. 5(10). e1472–e1472. 5 indexed citations
10.
Cañelles, Matilde. (2011). The Universality of Asymmetric Division. Journal of Stem Cell Research & Therapy. 1(3). 3 indexed citations
11.
Uehara, Shoji, Sandra M. Hayes, Dalal El‐Khoury, et al.. (2006). Premature Expression of Chemokine Receptor CCR9 Impairs T Cell Development. The Journal of Immunology. 176(1). 75–84. 24 indexed citations
12.
Cañelles, Matilde, et al.. (2004). Remission of nephrotic syndrome after thalidomide therapy in a patient with Castlemans disease. Clinical Nephrology. 61(5). 352–356. 7 indexed citations
13.
14.
Cañelles, Matilde, et al.. (2003). The influence of the thymic environment on the CD4-versus-CD8 T lineage decision. Nature Immunology. 4(8). 756–764. 32 indexed citations
15.
Benı́tez, N., J. Maíz Apellániz, & Matilde Cañelles. (2002). Evidence for Nearby Supernova Explosions. Physical Review Letters. 88(8). 81101–81101. 65 indexed citations
16.
Feng, Chiguang, Kenneth J. Woodside, Barbara A. Vance, et al.. (2002). A potential role for CD69 in thymocyte emigration. International Immunology. 14(6). 535–544. 124 indexed citations
17.
Fanin, Renato, Alessandra Sperotto, Carmen Ruiz de Elvira, et al.. (2000). A retrospective analysis of 144 patients with aggressive non-Hodgkin's lymphoma: impact of autologous stem cell transplantation in first remission on outcome.. PubMed. 85(9). 943–51. 6 indexed citations
18.
Lerga, Ana, Carlos Richard, M. Dolores Delgado, et al.. (1999). Apoptosis and Mitotic Arrest Are Two Independent Effects of the Protein Phosphatases Inhibitor Okadaic Acid in K562 Leukemia Cells. Biochemical and Biophysical Research Communications. 260(1). 256–264. 38 indexed citations
19.
Cañelles, Matilde, M. Dolores Delgado, Ana Lerga, et al.. (1997). Max and inhibitory c-Myc mutants induce erythroid differentiation and resistance to apoptosis in human myeloid leukemia cells. Oncogene. 14(11). 1315–1327. 51 indexed citations
20.
Delgado, M. Dolores, Ana Lerga, Matilde Cañelles, María Teresa Gómez‐Casares, & Javier León. (1995). Differential regulation of Max and role of c-Myc during erythroid and myelomonocytic differentiation of K562 cells. PubMed. 10(8). 1659–65. 56 indexed citations

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.

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