Eva Martínez‐Cáceres

4.5k total citations · 1 hit paper
126 papers, 2.9k citations indexed

About

Eva Martínez‐Cáceres is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Eva Martínez‐Cáceres has authored 126 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Immunology, 35 papers in Pathology and Forensic Medicine and 22 papers in Oncology. Recurrent topics in Eva Martínez‐Cáceres's work include Immunotherapy and Immune Responses (41 papers), T-cell and B-cell Immunology (33 papers) and Immune Cell Function and Interaction (29 papers). Eva Martínez‐Cáceres is often cited by papers focused on Immunotherapy and Immune Responses (41 papers), T-cell and B-cell Immunology (33 papers) and Immune Cell Function and Interaction (29 papers). Eva Martínez‐Cáceres collaborates with scholars based in Spain, Netherlands and United Kingdom. Eva Martínez‐Cáceres's co-authors include Cristina Ramo‐Tello, Laia Grau‐López, María José Mansilla, Xavier Montalbán, Ricardo Pujol‐Borrell, Carmen Espejo, Esteban Ballestar, Federico Fondelli, Octavio Morante-Palacios and Aina Teniente‐Serra and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Eva Martínez‐Cáceres

120 papers receiving 2.8k 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.

Regulatory cells and the effect of cancer immunotherapy

2023 119 citations Eva Martínez‐Cáceres et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Martínez‐Cáceres Spain	31	1.6k	612	550	444	243	126	2.9k
Caroline Pot Switzerland	27	1.7k 1.0×	637 1.0×	608 1.1×	446 1.0×	179 0.7×	74	3.0k
Marina Rode von Essen Denmark	23	834 0.5×	909 1.5×	374 0.7×	281 0.6×	151 0.6×	62	1.9k
Victoria L. Heath United Kingdom	27	901 0.6×	712 1.2×	1.2k 2.2×	414 0.9×	51 0.2×	44	3.2k
Yasuhiro Maeda Japan	25	947 0.6×	171 0.3×	620 1.1×	428 1.0×	115 0.5×	147	2.6k
Annalisa Capobianco Italy	22	1.4k 0.9×	196 0.3×	830 1.5×	352 0.8×	151 0.6×	45	3.4k
Jan Piet van Hamburg Netherlands	27	1.4k 0.9×	609 1.0×	769 1.4×	384 0.9×	43 0.2×	58	2.9k
Florin Niculescu United States	37	2.5k 1.5×	329 0.5×	1.0k 1.9×	285 0.6×	167 0.7×	77	4.0k
Annette Oturai Denmark	27	855 0.5×	1.2k 1.9×	569 1.0×	450 1.0×	271 1.1×	71	2.3k
Jingwu Z. Zhang China	32	2.0k 1.2×	776 1.3×	852 1.5×	671 1.5×	148 0.6×	50	3.6k
Horea Rus United States	43	2.8k 1.8×	650 1.1×	1.5k 2.7×	433 1.0×	328 1.3×	126	5.1k

Countries citing papers authored by Eva Martínez‐Cáceres

Since Specialization

Citations

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

Fields of papers citing papers by Eva Martínez‐Cáceres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Martínez‐Cáceres. 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 Eva Martínez‐Cáceres. The network helps show where Eva Martínez‐Cáceres may publish in the future.

Co-authorship network of co-authors of Eva Martínez‐Cáceres

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Martínez‐Cáceres. A scholar is included among the top collaborators of Eva Martínez‐Cáceres 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 Eva Martínez‐Cáceres. Eva Martínez‐Cáceres 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

Torán‐Monserrat, Pere, Lucía A. Carrasco‐Ribelles, Bibiana Quirant‐Sánchez, et al.. (2024). SARS-CoV-2 Infection Risk by Vaccine Doses and Prior Infections Over 24 Months: ProHEpiC-19 Longitudinal Study. JMIR Public Health and Surveillance. 10. e56926–e56926.

Martínez‐Cáceres, Eva, et al.. (2023). Regulatory cells and the effect of cancer immunotherapy. Molecular Cancer. 22(1). 26–26. 119 indexed citations breakdown →

Mansilla, María José, Catharien M. U. Hilkens, & Eva Martínez‐Cáceres. (2023). Challenges in tolerogenic dendritic cell therapy for autoimmune diseases: the route of administration. PubMed. 3(1). ltad012–ltad012. 26 indexed citations

Ortega‐Hernandez, Oscar‐Danilo, Eva Martínez‐Cáceres, Silvia Presas‐Rodríguez, & Cristina Ramo‐Tello. (2023). Epstein-Barr Virus and Multiple Sclerosis: A Convoluted Interaction and the Opportunity to Unravel Predictive Biomarkers. International Journal of Molecular Sciences. 24(8). 7407–7407. 7 indexed citations

Dacosta‐Aguayo, Rosalía, Lucía A. Carrasco‐Ribelles, Rosa García‐Sierra, et al.. (2022). Neurocognitive Profile of the Post-COVID Condition in Adults in Catalonia—A Mixed Method Prospective Cohort and Nested Case–Control Study: Study Protocol. Vaccines. 10(6). 849–849. 1 indexed citations

Teniente‐Serra, Aina, et al.. (2022). Increased Natural Killer Cells Are Associated with Alcohol Liver Fibrosis and with T Cell and Cytotoxic Subpopulations Change. Journal of Clinical Medicine. 11(2). 305–305. 8 indexed citations

Kilpeläinen, Athina, Dan Ouchi, Ruth Peña, et al.. (2022). Skewed Cellular Distribution and Low Activation of Functional T-Cell Responses in SARS-CoV-2 Non-Seroconvertors. Frontiers in Immunology. 13. 815041–815041. 1 indexed citations

Cuevas‐Esteban, Jorge, et al.. (2021). Association of serum interleukin-6 and C-reactive protein with depressive and adjustment disorders in COVID-19 inpatients. Brain Behavior & Immunity - Health. 19. 100405–100405. 12 indexed citations

Hervás, José Vicente, Cristina González‐Mingot, Bibiana Quirant‐Sánchez, et al.. (2020). Seroprevalence of SARS-COV-2 in multiple sclerosis patients under immunomodulatory treatment in lleida (study emCOVID-19). Multiple Sclerosis Journal. 26. 59–59. 2 indexed citations

10.

Jevtić, Bojan, María José Mansilla, Gordana Timotijević, et al.. (2019). Comparison of dendritic cells obtained from autoimmunty-prone and resistant rats. Immunobiology. 224(3). 470–476. 4 indexed citations

11.

Brinke, Anja ten, Marc Martínez‐Llordella, Nathalie Cools, et al.. (2019). Ways Forward for Tolerance-Inducing Cellular Therapies- an AFACTT Perspective. Frontiers in Immunology. 10. 181–181. 37 indexed citations

12.

Basagaña, María, et al.. (2018). Immunotheraphy in Allergic Diseases. Current Pharmaceutical Design. 24(11). 1174–1194. 6 indexed citations

13.

Mansilla, María José, Juan Navarro‐Barriuso, Nathalie Cools, et al.. (2016). Cryopreserved vitamin D3-tolerogenic dendritic cells pulsed with autoantigens as a potential therapy for multiple sclerosis patients. Journal of Neuroinflammation. 13(1). 113–113. 43 indexed citations

14.

Willekens, Barbara, Patrick Cras, Herman Goossens, et al.. (2016). Immunomodulatory Effects of 1,25-Dihydroxyvitamin D₃on Dendritic Cells Promote Induction of T Cell Hyporesponsiveness to Myelin-Derived Antigens. Journal of Immunology Research. 2016. 1–16. 17 indexed citations

15.

Sanvisens, Arantza, Aina Teniente‐Serra, Daniel Fuster, et al.. (2016). Wide array of T-cell subpopulation alterations in patients with alcohol use disorders. Drug and Alcohol Dependence. 162. 124–129. 8 indexed citations

16.

Brinke, Anja ten, Catharien M. U. Hilkens, Nathalie Cools, et al.. (2015). Clinical Use of Tolerogenic Dendritic Cells‐Harmonization Approach in European Collaborative Effort. Mediators of Inflammation. 2015(1). 471719–471719. 45 indexed citations

17.

Ramo‐Tello, Cristina, Laia Grau‐López, Mar Tintoré, et al.. (2013). A randomized clinical trial of oral versus intravenous methylprednisolone for relapse of MS. Multiple Sclerosis Journal. 20(6). 717–725. 48 indexed citations

18.

Espejo, Carmen, et al.. (2002). Interferon-γ Regulates Oxidative Stress during Experimental Autoimmune Encephalomyelitis. Experimental Neurology. 177(1). 21–31. 20 indexed citations

19.

Pino-Otín, María Rosa, Manel Juan, Miguel Á. de la Fuente, et al.. (1995). CD50 (intercellular adhesion molecule‐3) is expressed at higher levels on memory than on naive human T cells but induces a similar calcium mobilization on both subsets. Tissue Antigens. 46(1). 32–44. 16 indexed citations

20.

Juan, Manel, Odette Viñas, María Rosa Pino-Otín, et al.. (1994). CD50 (intercellular adhesion molecule 3) stimulation induces calcium mobilization and tyrosine phosphorylation through p59fyn and p56lck in Jurkat T cell line.. The Journal of Experimental Medicine. 179(6). 1747–1756. 59 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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