Diego Catalán

2.2k total citations · 2 hit papers
42 papers, 1.7k citations indexed

About

Diego Catalán is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Diego Catalán has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 10 papers in Rheumatology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Diego Catalán's work include Immunotherapy and Immune Responses (22 papers), T-cell and B-cell Immunology (21 papers) and Immune Cell Function and Interaction (14 papers). Diego Catalán is often cited by papers focused on Immunotherapy and Immune Responses (22 papers), T-cell and B-cell Immunology (21 papers) and Immune Cell Function and Interaction (14 papers). Diego Catalán collaborates with scholars based in Chile, United Kingdom and Australia. Diego Catalán's co-authors include Juan Carlos Aguillón, Lilian Soto, Octavio Aravena, Katina Schinnerling, Kristīne Oļeiņika, Bárbara Pesce, Claudia Mauri, M Cuchacovich, Elizabeth C. Rosser and Paulina A García-González and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Diego Catalán

40 papers receiving 1.7k 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.

Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory B Cells

2020 412 citations Diego Catalán, Claudia Mauri et al. profile →
Immunosuppressive Mechanisms of Regulatory B Cells

2021 242 citations Diego Catalán, Lilian Soto et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Catalán Chile	22	941	468	314	220	160	42	1.7k
Saba Alzabin United Kingdom	17	1.3k 1.4×	549 1.2×	496 1.6×	379 1.7×	166 1.0×	22	2.2k
Sophie Hillion France	26	1.1k 1.2×	268 0.6×	234 0.7×	148 0.7×	141 0.9×	56	1.7k
Sujata Sarkar United States	14	1.0k 1.1×	253 0.5×	309 1.0×	279 1.3×	115 0.7×	21	1.6k
Laura Tesmer United States	8	947 1.0×	322 0.7×	385 1.2×	217 1.0×	114 0.7×	9	1.6k
Mir‐Farzin Mashreghi Germany	26	1.2k 1.3×	639 1.4×	223 0.7×	314 1.4×	197 1.2×	84	2.3k
Yojiro Kawabe Japan	22	898 1.0×	520 1.1×	262 0.8×	247 1.1×	181 1.1×	51	1.8k
Adriana Karina Chávez-Rueda Mexico	20	1.1k 1.2×	255 0.5×	311 1.0×	185 0.8×	167 1.0×	53	1.7k
Mieke F. Roelofs Netherlands	11	1.1k 1.2×	509 1.1×	421 1.3×	200 0.9×	156 1.0×	11	1.7k
Mélissa Noack France	9	869 0.9×	286 0.6×	379 1.2×	263 1.2×	106 0.7×	18	1.5k
Randi Olsen Norway	24	585 0.6×	363 0.8×	330 1.1×	121 0.6×	166 1.0×	51	1.6k

Countries citing papers authored by Diego Catalán

Since Specialization

Citations

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

Fields of papers citing papers by Diego Catalán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Catalán

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Catalán. A scholar is included among the top collaborators of Diego Catalán 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 Diego Catalán. Diego Catalán 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

Catalán, Diego, Lilian Soto, Óscar Neira, et al.. (2025). HLA-DRB1 allele distribution in Chilean population: insights into rheumatoid arthritis susceptibility and protection. Frontiers in Immunology. 16. 1594723–1594723.

Carrascal, Montserrat, Lilian Soto, Óscar Neira, et al.. (2022). Isolation of HLA-DR-naturally presented peptides identifies T-cell epitopes for rheumatoid arthritis. Annals of the Rheumatic Diseases. 81(8). 1096–1105. 9 indexed citations

Catalán, Diego, et al.. (2021). Immunosuppressive Mechanisms of Regulatory B Cells. Frontiers in Immunology. 12. 611795–611795. 242 indexed citations breakdown →

García-González, Paulina A, Katina Schinnerling, Lilian Soto, et al.. (2019). Regulation of Tolerogenic Features on Dexamethasone-Modulated MPLA-Activated Dendritic Cells by MYC. Frontiers in Immunology. 10. 1171–1171. 12 indexed citations

García-González, Paulina A, Katina Schinnerling, Ahmed M. Mehdi, et al.. (2017). Dexamethasone and Monophosphoryl Lipid A Induce a Distinctive Profile on Monocyte-Derived Dendritic Cells through Transcriptional Modulation of Genes Associated With Essential Processes of the Immune Response. Frontiers in Immunology. 8. 1350–1350. 22 indexed citations

Aravena, Octavio, Madhvi Menon, Claudia Mauri, et al.. (2017). TIM-1 defines a human regulatory B cell population that is altered in frequency and function in systemic sclerosis patients. Arthritis Research & Therapy. 19(1). 8–8. 81 indexed citations

Schinnerling, Katina, et al.. (2016). Dexamethasone and Monophosphoryl Lipid A-Modulated Dendritic Cells Promote Antigen-Specific Tolerogenic Properties on Naive and Memory CD4+ T Cells. Frontiers in Immunology. 7. 359–359. 19 indexed citations

García-González, Paulina A, et al.. (2016). Tolerogenic dendritic cells for reprogramming of lymphocyte responses in autoimmune diseases. Autoimmunity Reviews. 15(11). 1071–1080. 72 indexed citations

Catalán, Diego, et al.. (2015). Therapeutic Potential of Hyporesponsive CD4+ T Cells in Autoimmunity. Frontiers in Immunology. 6. 488–488. 9 indexed citations

10.

Ribeiro, Carolina, Marco Bustamante, Héctor R. Contreras, et al.. (2015). Clinical significance of tumor expression of major histocompatibility complex class I-related chains A and B (MICA/B) in gastric cancer patients. Oncology Reports. 35(3). 1309–1317. 24 indexed citations

11.

Cuchacovich, M, et al.. (2014). Clinical parameters and biomarkers for anti-TNF treatment prognosis in rheumatoid arthritis patients. Clinical Rheumatology. 33(12). 1707–1714. 17 indexed citations

12.

García-González, Paulina A, Rodrigo A. Morales, Bárbara Pesce, et al.. (2013). A short protocol using dexamethasone and monophosphoryl lipid A generates tolerogenic dendritic cells that display a potent migratory capacity to lymphoid chemokines. Journal of Translational Medicine. 11(1). 128–128. 36 indexed citations

13.

Duran‐Aniotz, Claudia, Lorena Salazar, Cristián Pereda, et al.. (2012). The immunological response and post-treatment survival of DC-vaccinated melanoma patients are associated with increased Th1/Th17 and reduced Th3 cytokine responses. Cancer Immunology Immunotherapy. 62(4). 761–772. 24 indexed citations

14.

Salazar, Lorena, Bárbara Pesce, Octavio Aravena, et al.. (2012). Blocking of p38 and transforming growth factor β receptor pathways impairs the ability of tolerogenic dendritic cells to suppress murine arthritis. Arthritis & Rheumatism. 65(1). 120–129. 16 indexed citations

15.

Sotelo, Pablo H., Roberto Ariel Abeldaño Zúñiga, Matías Gutiérrez-González, et al.. (2012). An efficient method for variable region assembly in the construction of scFv phage display libraries using independent strand amplification. mAbs. 4(4). 542–550. 10 indexed citations

16.

Soto, Lilian, Francisca Sabugo, Diego Catalán, et al.. (2011). The presence of anti-citrullinated protein antibodies (ACPA) does not affect the clinical response to adalimumab in a group of RA patients with the tumor necrosis factor (TNF) α-308 G/G promoter polymorphism. Clinical Rheumatology. 30(3). 391–395. 15 indexed citations

17.

Aravena, Octavio, Bárbara Pesce, Lilian Soto, et al.. (2011). Anti-TNF therapy in patients with rheumatoid arthritis decreases Th1 and Th17 cell populations and expands IFN-γ-producing NK cell and regulatory T cell subsets. Immunobiology. 216(12). 1256–1263. 50 indexed citations

18.

Catalán, Diego, Octavio Aravena, Francisca Sabugo, et al.. (2010). B cells from rheumatoid arthritis patients show important alterations in the expression of CD86 and FcγRIIb, which are modulated by anti-tumor necrosis factor therapy. Arthritis Research & Therapy. 12(2). R68–R68. 44 indexed citations

19.

Cuchacovich, M, Lilian Soto, M Edwardes, et al.. (2006). Tumour necrosis factor (TNF)α −308 G/G promoter polymorphism and TNFα levels correlate with a better response to adalimumab in patients with rheumatoid arthritis. Scandinavian Journal of Rheumatology. 35(6). 435–440. 65 indexed citations

20.

Villegas, Rodrigo, Andrea Cruzat, Jimena Cuenca, et al.. (2005). Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy. Biological Research. 38(1). 7–12. 5 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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