Marcelo A. Navarrete

663 total citations · 1 hit paper
40 papers, 360 citations indexed

About

Marcelo A. Navarrete is a scholar working on Immunology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Marcelo A. Navarrete has authored 40 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 13 papers in Pathology and Forensic Medicine and 12 papers in Genetics. Recurrent topics in Marcelo A. Navarrete's work include Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (12 papers) and Immunotherapy and Immune Responses (8 papers). Marcelo A. Navarrete is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (12 papers) and Immunotherapy and Immune Responses (8 papers). Marcelo A. Navarrete collaborates with scholars based in Chile, Netherlands and Germany. Marcelo A. Navarrete's co-authors include Hendrik Veelken, David Medina-Ortiz, Pablo Oppezzo, Álvaro Olivera‐Nappa, Cornelis A.M. van Bergen, Nicholas Chiorazzi, Marieke Griffioen, Mehdi D. Davari, Simone A.P. van Luxemburg-Heijs and J.H. Frederik Falkenburg and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Marcelo A. Navarrete

38 papers receiving 351 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides

2024 55 citations Mehdi D. Davari, Álvaro Olivera‐Nappa et al. Briefings in Bioinformatics profile →

Peers

Marcelo A. Navarrete

IMMUN

ONCOL

HEMAT

GENET

Donata Urbaniak‐Kujda Poland

Colton Smith United States

Yasutaka Kakinoki Japan

Ignacio Criado Spain

Madlen Oelsner Germany

Nathan Cantoni Switzerland

Stephan Fuhrmann Germany

Xiaowen Qian China

Lina Souan Jordan

Manon Queudeville Germany

Donata Urbaniak‐Kujda Poland

Marcelo A. Navarrete

88 ×0.6

IMMUN

98 ×0.9

130 ×2.0

ONCOL

91 ×1.4

HEMAT

40 ×0.8

GENET

Citations per year, relative to Marcelo A. Navarrete Marcelo A. Navarrete (= 1×) peers Donata Urbaniak‐Kujda

Countries citing papers authored by Marcelo A. Navarrete

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo A. Navarrete

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo A. Navarrete. 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 Marcelo A. Navarrete. The network helps show where Marcelo A. Navarrete may publish in the future.

Co-authorship network of co-authors of Marcelo A. Navarrete

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

All Works

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20 of 20 papers shown

Casanova, L., et al.. (2025). Estimating the prevalence of persistent symptoms after SARS-CoV-2 infection (post-COVID-19 syndrome): a regional cross-sectional study protocol. BMJ Open. 15(5). e093844–e093844. 1 indexed citations

Davari, Mehdi D., et al.. (2024). Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides. Briefings in Bioinformatics. 25(4). 55 indexed citations breakdown →

Navarrete, Marcelo A., et al.. (2024). Peptipedia v2.0: a peptide sequence database and user-friendly web platform. A major update. Database. 2024. 6 indexed citations

Koning, Marvyn T., Ruben A. L. de Groen, Edwin Quinten, et al.. (2024). Antigen-independent, autonomous B cell receptor signaling drives activated B cell DLBCL. The Journal of Experimental Medicine. 221(5). 5 indexed citations

Quinten, Edwin, Szymon M. Kiełbasa, Ruben A. L. de Groen, et al.. (2024). CaClust: linking genotype to transcriptional heterogeneity of follicular lymphoma using BCR and exomic variants. Genome biology. 25(1). 286–286.

Medina-Ortiz, David, et al.. (2023). The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management. Frontiers in Public Health. 11. 1140353–1140353. 9 indexed citations

Bergen, Cornelis A.M. van, Susan L. Kloet, Edwin Quinten, et al.. (2023). Acquisition of a glycosylated B-cell receptor drives follicular lymphoma toward a dark zone phenotype. Blood Advances. 7(19). 5812–5816. 3 indexed citations

Sernbo, Sandra, Juan Pablo Tosar, Daniel Prieto, et al.. (2022). TGF-β/SMAD Pathway Is Modulated by miR-26b-5p: Another Piece in the Puzzle of Chronic Lymphocytic Leukemia Progression. Cancers. 14(7). 1676–1676. 9 indexed citations

Pilzecker, Bas, Pauline A. van Schouwenburg, Hendrik Veelken, et al.. (2022). Tandem Substitutions in Somatic Hypermutation. Frontiers in Immunology. 12. 807015–807015. 2 indexed citations

10.

Medina-Ortiz, David, et al.. (2022). Generalized Property-Based Encoders and Digital Signal Processing Facilitate Predictive Tasks in Protein Engineering. Frontiers in Molecular Biosciences. 9. 898627–898627. 7 indexed citations

11.

Bergen, Cornelis A.M. van, et al.. (2021). Integration of Mutational Signature Analysis with 3D Chromatin Data Unveils Differential AID-Related Mutagenesis in Indolent Lymphomas. International Journal of Molecular Sciences. 22(23). 13015–13015. 2 indexed citations

12.

Morande, Pablo Elías, Xiao‐Jie Yan, Cecilia Abreu, et al.. (2021). AID overexpression leads to aggressive murine CLL and nonimmunoglobulin mutations that mirror human neoplasms. Blood. 138(3). 246–258. 8 indexed citations

13.

Weitzel, Thomas, et al.. (2021). Mutation in a SARS-CoV-2 Haplotype from Sub-Antarctic Chile Reveals New Insights into the Spike’s Dynamics. Viruses. 13(5). 883–883. 8 indexed citations

14.

Koning, Marvyn T., et al.. (2019). Peripheral IgE Repertoires of Healthy Donors Carry Moderate Mutation Loads and Do Not Overlap With Other Isotypes. Frontiers in Immunology. 10. 1543–1543. 10 indexed citations

15.

Prieto, Daniel, Thaïs Souto-Padrón, Cecilia Guillermo, et al.. (2018). LPL protein in Chronic Lymphocytic Leukaemia have different origins in Mutated and Unmutated patients. Advances for a new prognostic marker in CLL. British Journal of Haematology. 182(4). 521–525. 11 indexed citations

16.

Navarrete, Marcelo A.. (2015). ELISpot and DC-ELISpot Assay to Measure Frequency of Antigen-Specific IFNγ-Secreting Cells. Methods in molecular biology. 1318. 79–86. 1 indexed citations

17.

Navarrete, Marcelo A., et al.. (2013). Usage of standardized antigen-presenting cells improves ELISpot performance for complex protein antigens. Journal of Immunological Methods. 391(1-2). 146–153. 5 indexed citations

18.

Navarrete, Marcelo A., F.J.M. van der Meer, Giuseppe Damiani, A. Dı́az, & Jeroen Eikenboom. (2012). The use of rituximab therapy in patients with acquired factor v inhibitors. American Journal of Hematology. 87(8). 826–827. 7 indexed citations

19.

Navarrete, Marcelo A., et al.. (2009). Analysis of human mammary fibroadenoma by Ki‐67 index in the follicular and luteal phases of menstrual cycle. Cell Proliferation. 42(2). 241–247. 6 indexed citations

20.

Cortés-Gallegos, V., et al.. (1979). Accumulation of Ethinylestradiol in Blood and Endometrium of Women Taking Oral Contraceptives: The Sequential Therapy. Fertility and Sterility. 32(5). 524–527. 8 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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