Martín A. Rivas

2.8k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Martín A. Rivas is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Martín A. Rivas has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Oncology and 7 papers in Immunology. Recurrent topics in Martín A. Rivas's work include Cytokine Signaling Pathways and Interactions (10 papers), Genomics and Chromatin Dynamics (6 papers) and HER2/EGFR in Cancer Research (5 papers). Martín A. Rivas is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), Genomics and Chromatin Dynamics (6 papers) and HER2/EGFR in Cancer Research (5 papers). Martín A. Rivas collaborates with scholars based in Argentina, United States and Israel. Martín A. Rivas's co-authors include Roxana Schillaci, Patricia V. Elizalde, Wendy Béguelin, Cecilia J. Proietti, Cinthia Rosemblit, Eduardo H. Charreau, Leandro Venturutti, Mercedes Tkach, Ari Melnick and María Teresa Herrera-Abreu and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Martín A. Rivas

27 papers receiving 1.6k 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.

Early Adaptation and Acquired Resistance to CDK4/6 Inhibition in Estrogen Receptor–Positive Breast Cancer

2016 511 citations María Teresa Herrera-Abreu, Marta Palafox et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martín A. Rivas Argentina	17	845	761	477	397	246	27	1.6k
Paula I. González-Ericsson United States	21	935 1.1×	709 0.9×	410 0.9×	368 0.9×	475 1.9×	54	1.7k
Mika K. Derynck United States	15	553 0.7×	648 0.9×	308 0.6×	281 0.7×	193 0.8×	34	1.5k
Yoshimi Arima Japan	27	906 1.1×	1.2k 1.5×	291 0.6×	396 1.0×	239 1.0×	46	2.0k
Karen G. Montgomery Australia	15	528 0.6×	1.1k 1.5×	397 0.8×	362 0.9×	81 0.3×	17	1.6k
Ariella B. Hanker United States	15	759 0.9×	942 1.2×	445 0.9×	453 1.1×	97 0.4×	41	1.6k
Iwan Beuvink Switzerland	11	840 1.0×	1.1k 1.5×	204 0.4×	304 0.8×	169 0.7×	13	1.7k
Yoon Jong Choi United States	11	813 1.0×	1.3k 1.7×	449 0.9×	240 0.6×	145 0.6×	19	1.9k
Matthias Drosten Spain	22	777 0.9×	1.4k 1.9×	261 0.5×	291 0.7×	153 0.6×	43	2.0k
Emmanuel Martínez-Ledesma United States	14	341 0.4×	1.0k 1.3×	314 0.7×	460 1.2×	133 0.5×	34	1.6k
Katharine Ellwood‐Yen United States	8	336 0.4×	787 1.0×	531 1.1×	287 0.7×	152 0.6×	10	1.3k

Countries citing papers authored by Martín A. Rivas

Since Specialization

Citations

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

Fields of papers citing papers by Martín A. Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín A. Rivas

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

Rodríguez, Lorena, Gabriela Di Venosa, Martín A. Rivas, et al.. (2022). Ras-transfected human mammary tumour cells are resistant to photodynamic therapy by mechanisms related to cell adhesion. Life Sciences. 314. 121287–121287. 2 indexed citations

Rivas, Martín A., Ceyda Durmaz, Andreas Kloetgen, et al.. (2021). Cohesin Core Complex Gene Dosage Contributes to Germinal Center Derived Lymphoma Phenotypes and Outcomes. Frontiers in Immunology. 12. 688493–688493. 6 indexed citations

Doane, Ashley S., Chi-Shuen Chu, Dafne Campigli Di Giammartino, et al.. (2021). OCT2 pre-positioning facilitates cell fate transition and chromatin architecture changes in humoral immunity. Nature Immunology. 22(10). 1327–1340. 10 indexed citations

Béguelin, Wendy, Matt Teater, Cem Meydan, et al.. (2020). Mutant EZH2 Induces a Pre-malignant Lymphoma Niche by Reprogramming the Immune Response. Cancer Cell. 37(5). 655–673.e11. 83 indexed citations

Rivas, Martín A. & Ari Melnick. (2019). Role of chromosomal architecture in germinal center B cells and lymphomagenesis. Current Opinion in Hematology. 26(4). 294–302. 6 indexed citations

Béguelin, Wendy, Martín A. Rivas, María Teresa Calvo, et al.. (2017). EZH2 enables germinal centre formation through epigenetic silencing of CDKN1A and an Rb-E2F1 feedback loop. Nature Communications. 8(1). 877–877. 129 indexed citations

Venturutti, Leandro, Rosalía I. Cordo Russo, Martín A. Rivas, et al.. (2016). MiR-16 mediates trastuzumab and lapatinib response in ErbB-2-positive breast and gastric cancer via its novel targets CCNJ and FUBP1. Oncogene. 35(48). 6189–6202. 74 indexed citations

Herrera-Abreu, María Teresa, Marta Palafox, Uzma Asghar, et al.. (2016). Early Adaptation and Acquired Resistance to CDK4/6 Inhibition in Estrogen Receptor–Positive Breast Cancer. Cancer Research. 76(8). 2301–2313. 511 indexed citations breakdown →

Mercogliano, María F., Mara De Martino, Leandro Venturutti, et al.. (2016). TNFα-Induced Mucin 4 Expression Elicits Trastuzumab Resistance in HER2-Positive Breast Cancer. Clinical Cancer Research. 23(3). 636–648. 81 indexed citations

10.

Béguelin, Wendy, Martín A. Rivas, María Teresa Calvo, & Ari Melnick. (2016). EZH2 Enables the Proliferation of Germinal Center B Cells and DLBCL through a Rb-E2F1 Positive Feedback Loop Involving Repression of CDKN1A. Blood. 128(22). 734–734. 1 indexed citations

11.

Tkach, Mercedes, Cinthia Rosemblit, Martín A. Rivas, et al.. (2013). p42/p44 MAPK-mediated Stat3Ser727 phosphorylation is required for progestin-induced full activation of Stat3 and breast cancer growth. Endocrine Related Cancer. 20(2). 197–212. 77 indexed citations

12.

Tkach, Mercedes, Mariya I. Meschaninova, Martín A. Rivas, et al.. (2012). Small Interfering RNA Targeted to IGF-IR Delays Tumor Growth and Induces Proinflammatory Cytokines in a Mouse Breast Cancer Model. PLoS ONE. 7(1). e29213–e29213. 38 indexed citations

13.

Tkach, Mercedes, Lorena M. Coria, Cinthia Rosemblit, et al.. (2012). Targeting Stat3 Induces Senescence in Tumor Cells and Elicits Prophylactic and Therapeutic Immune Responses against Breast Cancer Growth Mediated by NK Cells and CD4+ T Cells. The Journal of Immunology. 189(3). 1162–1172. 43 indexed citations

14.

Rivas, Martín A., Leandro Venturutti, Yi‐Wen Huang, et al.. (2012). Downregulation of the tumor-suppressor miR-16 via progestin-mediated oncogenic signaling contributes to breast cancer development. Breast Cancer Research. 14(3). R77–R77. 92 indexed citations

15.

Béguelin, Wendy, María C. Díaz Flaqué, Cecilia J. Proietti, et al.. (2010). Progesterone Receptor Induces ErbB-2 Nuclear Translocation To Promote Breast Cancer Growth via a Novel Transcriptional Effect: ErbB-2 Function as a Coactivator of Stat3. Molecular and Cellular Biology. 30(23). 5456–5472. 85 indexed citations

16.

Proietti, Cecilia J., Wendy Béguelin, María C. Díaz Flaqué, et al.. (2010). Novel role of signal transducer and activator of transcription 3 as a progesterone receptor coactivator in breast cancer. Steroids. 76(4). 381–392. 23 indexed citations

17.

Proietti, Cecilia J., Cinthia Rosemblit, Wendy Béguelin, et al.. (2008). Activation of Stat3 by Heregulin/ErbB-2 through the Co-Option of Progesterone Receptor Signaling Drives Breast Cancer Growth. Molecular and Cellular Biology. 29(5). 1249–1265. 46 indexed citations

18.

Proietti, Cecilia J., Cinthia Rosemblit, Wendy Béguelin, et al.. (2008). Stat3 enhances Progesterone Receptor (PR)-mediated transcriptional activity through Sp-1 in the p21 promoter in breast cancer cells.. Cancer Research. 68. 3021–3021. 1 indexed citations

19.

Rivas, Martín A., Romina P. Carnevale, Cecilia J. Proietti, et al.. (2007). TNFα acting on TNFR1 promotes breast cancer growth via p42/P44 MAPK, JNK, Akt and NF-κB-dependent pathways. Experimental Cell Research. 314(3). 509–529. 133 indexed citations

20.

Schillaci, Roxana, Mariana Salatino, Juliana Cassataro, et al.. (2006). Immunization with Murine Breast Cancer Cells Treated with Antisense Oligodeoxynucleotides to Type I Insulin-Like Growth Factor Receptor Induced an Antitumoral Effect Mediated by a CD8+ Response Involving Fas/Fas Ligand Cytotoxic Pathway. The Journal of Immunology. 176(6). 3426–3437. 25 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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