Mercè Martı́

2.3k total citations
61 papers, 1.8k citations indexed

About

Mercè Martı́ is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mercè Martı́ has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 24 papers in Immunology and 10 papers in Oncology. Recurrent topics in Mercè Martı́'s work include T-cell and B-cell Immunology (15 papers), Immunotherapy and Immune Responses (10 papers) and Extracellular vesicles in disease (9 papers). Mercè Martı́ is often cited by papers focused on T-cell and B-cell Immunology (15 papers), Immunotherapy and Immune Responses (10 papers) and Extracellular vesicles in disease (9 papers). Mercè Martı́ collaborates with scholars based in Spain, United States and United Kingdom. Mercè Martı́'s co-authors include Dolores Jaraquemada, María Isabel Pividori, Eric O. Long, Silio Lima Moura, José A. Łópez de Castro, Carme Roura‐Mir, Luciano D. Sappia, Timothy LaVaute, Robert DeMars and Mauro Malnati and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Mercè Martı́

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mercè Martı́ Spain 24 730 675 331 277 195 61 1.8k
Kaiyong Yang China 22 1.3k 1.8× 564 0.8× 221 0.7× 203 0.7× 310 1.6× 37 2.3k
Joshua C. Doloff United States 19 445 0.6× 824 1.2× 255 0.8× 392 1.4× 55 0.3× 40 1.7k
Douglas J. Goetz United States 28 443 0.6× 852 1.3× 114 0.3× 389 1.4× 109 0.6× 59 2.2k
Tatiana P. Ugarova United States 35 702 1.0× 861 1.3× 112 0.3× 415 1.5× 193 1.0× 79 3.4k
François Plénat France 27 283 0.4× 665 1.0× 156 0.5× 187 0.7× 203 1.0× 95 2.0k
Wilson S. Meng United States 24 822 1.1× 844 1.3× 187 0.6× 246 0.9× 147 0.8× 61 1.8k
Jamil Azzi United States 27 557 0.8× 669 1.0× 178 0.5× 140 0.5× 231 1.2× 89 2.2k
Tsunao Kishida Japan 28 675 0.9× 1.1k 1.6× 387 1.2× 402 1.5× 128 0.7× 92 2.6k
Min Liang China 24 157 0.2× 921 1.4× 344 1.0× 277 1.0× 105 0.5× 61 1.9k
Christine Wang United States 22 279 0.4× 658 1.0× 96 0.3× 297 1.1× 297 1.5× 51 2.0k

Countries citing papers authored by Mercè Martı́

Since Specialization
Citations

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

Fields of papers citing papers by Mercè Martı́

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercè Martı́

This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Martı́. A scholar is included among the top collaborators of Mercè Martı́ 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 Mercè Martı́. Mercè Martı́ 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.
Rossi, Rosanna, et al.. (2024). Peptide-based biosensing approaches for targeting breast cancer-derived exosomes. Biosensors and Bioelectronics. 255. 116211–116211. 10 indexed citations
2.
Quintana, Ángela, et al.. (2023). B Cells in Breast Cancer Pathology. Cancers. 15(5). 1517–1517. 15 indexed citations
3.
Ensenyat-Méndez, Miquel, Javier I. J. Orozco, Pere Llinàs‐Arias, et al.. (2023). Construction and validation of a gene expression classifier to predict immunotherapy response in primary triple-negative breast cancer. SHILAP Revista de lepidopterología. 3(1). 93–93. 7 indexed citations
4.
Cano, Amanda, Miren Ettcheto, Raquel Puerta, et al.. (2023). Extracellular vesicles, the emerging mirrors of brain physiopathology. International Journal of Biological Sciences. 19(3). 721–743. 39 indexed citations
5.
Martı́, Mercè, et al.. (2021). Comparative Study of Gold and Carbon Nanoparticles in Nucleic Acid Lateral Flow Assay. Nanomaterials. 11(3). 741–741. 26 indexed citations
6.
Moura, Silio Lima, et al.. (2021). The activity of alkaline phosphatase in breast cancer exosomes simplifies the biosensing design. Biosensors and Bioelectronics. 198. 113826–113826. 49 indexed citations
7.
Quintana, Ángela, Vicente Peg, Aleix Prat, et al.. (2021). Immune analysis of lymph nodes in relation to the presence or absence of tumor infiltrating lymphocytes in triple-negative breast cancer. European Journal of Cancer. 148. 134–145. 12 indexed citations
8.
Moura, Silio Lima, et al.. (2019). Electrochemical immunosensing of nanovesicles as biomarkers for breast cancer. Biosensors and Bioelectronics. 150. 111882–111882. 70 indexed citations
9.
Felice, Betiana, María A. Sánchez, Luciano D. Sappia, et al.. (2018). Controlled degradability of PCL-ZnO nanofibrous scaffolds for bone tissue engineering and their antibacterial activity. Materials Science and Engineering C. 93. 724–738. 100 indexed citations
10.
11.
Calderón‐Gómez, Elisabeth, Rut Mora‐Buch, Isabella Dotti, et al.. (2016). Commensal-Specific CD4+ Cells From Patients With Crohn’s Disease Have a T-Helper 17 Inflammatory Profile. Gastroenterology. 151(3). 489–500.e3. 70 indexed citations
12.
Carinelli, Soledad, et al.. (2016). CD4 quantification based on magneto ELISA for AIDS diagnosis in low resource settings. Talanta. 160. 36–45. 11 indexed citations
13.
Muixí, Laia, Montserrat Carrascal, Iñaki Álvarez, et al.. (2008). Thyroglobulin Peptides Associate In Vivo to HLA-DR in Autoimmune Thyroid Glands. The Journal of Immunology. 181(1). 795–807. 40 indexed citations
14.
Montserrat, Verónica, Mercè Martı́, & José A. Łópez de Castro. (2003). Allospecific T Cell Epitope Sharing Reveals Extensive Conservation of the Antigenic Features of Peptide Ligands Among HLA-B27 Subtypes Differentially Associated with Spondyloarthritis. The Journal of Immunology. 170(11). 5778–5785. 12 indexed citations
15.
Martı́, Mercè, Iñaki Álvarez, Verónica Montserrat, & José A. Łópez de Castro. (2001). Large sharing of T‐cell epitopes and natural ligands between HLA‐B27 subtypes (B*2702 and B*2705) associated with spondyloarthritis. Tissue Antigens. 58(6). 351–362. 14 indexed citations
16.
Reinelt, Stefan, et al.. (2001). β-Amino Acid Scan of a Class I Major Histocompatibility Complex-restricted Alloreactive T-cell Epitope. Journal of Biological Chemistry. 276(27). 24525–24530. 41 indexed citations
17.
Álvarez, Iñaki, Mercè Martı́, Jesús Vázquez, et al.. (2001). The Cys-67 Residue of HLA-B27 Influences Cell Surface Stability, Peptide Specificity, and T-cell Antigen Presentation. Journal of Biological Chemistry. 276(52). 48740–48747. 39 indexed citations
18.
Martı́, Mercè, et al.. (1993). Métodos empleados en farmacovigilancia.. 65(6). 171–177. 1 indexed citations
19.
Tolosa, Eva, Carme Roura‐Mir, Mercè Martı́, Antonino Belfiore, & Ricardo Pujol‐Borrell. (1992). Induction of intercellular adhesion molecule-1 but not of lymphocyte function-associated antigen-3 in thyroid follicular cells. Journal of Autoimmunity. 5(1). 119–135. 22 indexed citations
20.
Jaraquemada, Dolores, Mercè Martı́, & Eric O. Long. (1990). An endogenous processing pathway in vaccinia virus-infected cells for presentation of cytoplasmic antigens to class II-restricted T cells.. The Journal of Experimental Medicine. 172(3). 947–954. 168 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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