María Rodríguez Martínez

4.2k total citations · 1 hit paper
66 papers, 2.6k citations indexed

About

María Rodríguez Martínez is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, María Rodríguez Martínez has authored 66 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Computational Theory and Mathematics. Recurrent topics in María Rodríguez Martínez's work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (10 papers) and T-cell and B-cell Immunology (9 papers). María Rodríguez Martínez is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (10 papers) and T-cell and B-cell Immunology (9 papers). María Rodríguez Martínez collaborates with scholars based in Switzerland, United States and France. María Rodríguez Martínez's co-authors include Jannis Born, Matteo Manica, David Langlois, Ben Freivogel, Leonard Susskind, Anna Weber, Matthew Kleban, Uri Alon, Guy Shinar and Ron Milo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

María Rodríguez Martínez

61 papers receiving 2.5k 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.

A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer

2019 526 citations Maria Anna Rapsomaniki, María Rodríguez Martínez et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María Rodríguez Martínez Switzerland	24	1.5k	500	470	401	314	66	2.6k
Stephen A. Ramsey United States	30	2.3k 1.5×	397 0.8×	928 2.0×	191 0.5×	178 0.6×	92	3.9k
Abhinav Nellore United States	21	1.3k 0.9×	565 1.1×	282 0.6×	278 0.7×	399 1.3×	38	2.9k
Vésteinn Thórsson United States	20	3.3k 2.2×	285 0.6×	611 1.3×	273 0.7×	214 0.7×	44	4.9k
C. Barnes United Kingdom	37	1.9k 1.3×	614 1.2×	140 0.3×	364 0.9×	1.5k 4.7×	84	5.0k
Carl Herrmann Germany	24	1.5k 1.0×	334 0.7×	357 0.8×	258 0.6×	88 0.3×	56	2.4k
Juhua Chen China	21	994 0.7×	257 0.5×	292 0.6×	272 0.7×	383 1.2×	98	2.5k
Mark R. Dowling Australia	29	795 0.5×	52 0.1×	642 1.4×	210 0.5×	160 0.5×	72	2.7k
Yasumitsu Kondoh Japan	22	1.3k 0.9×	485 1.0×	161 0.3×	204 0.5×	64 0.2×	96	2.1k
Jeffrey H. Chuang United States	31	1.9k 1.3×	462 0.9×	184 0.4×	412 1.0×	28 0.1×	94	3.7k
Franz Herzog Germany	46	5.4k 3.6×	220 0.4×	158 0.3×	308 0.8×	141 0.4×	105	7.8k

Countries citing papers authored by María Rodríguez Martínez

Since Specialization

Citations

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

Fields of papers citing papers by María Rodríguez Martínez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Rodríguez Martínez. 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 María Rodríguez Martínez. The network helps show where María Rodríguez Martínez may publish in the future.

Co-authorship network of co-authors of María Rodríguez Martínez

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

Unger, Susanne, Rhonda E. Ries, Soheil Meshinchi, et al.. (2024). Identification of single-cell blasts in pediatric acute myeloid leukemia using an autoencoder. Life Science Alliance. 7(11). e202402674–e202402674. 1 indexed citations

Martínez, María Rodríguez, et al.. (2024). Conformal Autoregressive Generation: Beam Search with Coverage Guarantees. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11775–11783. 3 indexed citations

Graziani, Mara, et al.. (2024). Phenotype driven data augmentation methods for transcriptomic data. Bioinformatics Advances. 5(1). vbaf124–vbaf124.

Weber, Anna, et al.. (2024). T-cell receptor binding prediction: A machine learning revolution. SHILAP Revista de lepidopterología. 15. 100040–100040. 3 indexed citations

Weber, Anna, et al.. (2024). Do domain-specific protein language models outperform general models on immunology-related tasks?. SHILAP Revista de lepidopterología. 14. 100036–100036. 4 indexed citations

Nielsen, Morten, Anne Eugster, Manisha Goel, et al.. (2024). Lessons learned from the IMMREP23 TCR-epitope prediction challenge. SHILAP Revista de lepidopterología. 16. 100045–100045. 14 indexed citations

Laragione, Teresina, et al.. (2024). BACH1 as a key driver in rheumatoid arthritis fibroblast-like synoviocytes identified through gene network analysis. Life Science Alliance. 8(1). e202402808–e202402808. 2 indexed citations

Koshkin, Alexey, Ulysse Herbach, María Rodríguez Martínez, Olivier Gandrillon, & Fabien Crauste. (2024). Stochastic modeling of a gene regulatory network driving B cell development in germinal centers. PLoS ONE. 19(3). e0301022–e0301022.

Bende, Richard J., et al.. (2023). Convergent evolution and B-cell recirculation in germinal centers in a human lymph node. Life Science Alliance. 6(11). e202301959–e202301959. 8 indexed citations

10.

Jongejan, Aldo, Tom G. Caniels, Mathieu Claireaux, et al.. (2023). Understanding repertoire sequencing data through a multiscale computational model of the germinal center. npj Systems Biology and Applications. 9(1). 8–8. 3 indexed citations

11.

Born, Jannis, et al.. (2023). Chemical representation learning for toxicity prediction. Digital Discovery. 2(3). 674–691. 21 indexed citations

12.

Meysman, Pieter, Justin Barton, Barbara Bravi, et al.. (2023). Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report. SHILAP Revista de lepidopterología. 9. 100024–100024. 51 indexed citations

13.

Sharma, Varun, Andrea Fossati, Rodolfo Ciuffa, et al.. (2022). PCfun: a hybrid computational framework for systematic characterization of protein complex function. Briefings in Bioinformatics. 23(4). 1 indexed citations

14.

Lee, Chloe H., Evan G. Williams, Tatjana Sajic, et al.. (2021). Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial. Molecular Systems Biology. 17(8). e10240–e10240. 89 indexed citations

15.

Gao, Xuefeng, Fabien Crauste, Philippe A. Robert, et al.. (2021). Multiscale Modeling of Germinal Center Recapitulates the Temporal Transition From Memory B Cells to Plasma Cells Differentiation as Regulated by Antigen Affinity-Based Tfh Cell Help. Frontiers in Immunology. 11. 620716–620716. 17 indexed citations

16.

Kumar, Sunil, et al.. (2020). Stabilized Reconstruction of Signaling Networks from Single-Cell Cue-Response Data. Scientific Reports. 10(1). 1233–1233. 1 indexed citations

17.

Rapsomaniki, Maria Anna, Xiao‐Kang Lun, Stefan Woerner, et al.. (2018). CellCycleTRACER accounts for cell cycle and volume in mass cytometry data. Nature Communications. 9(1). 632–632. 28 indexed citations

18.

Francica, Paola, Lluís Nisa, Daniel M. Aebersold, et al.. (2016). Depletion of FOXM1 via MET Targeting Underlies Establishment of a DNA Damage–Induced Senescence Program in Gastric Cancer. Clinical Cancer Research. 22(21). 5322–5336. 27 indexed citations

19.

Freivogel, Ben, Matthew Kleban, María Rodríguez Martínez, & Leonard Susskind. (2006). Observational consequences of a landscape. Journal of High Energy Physics. 2006(3). 39–39. 152 indexed citations

20.

Langlois, David, Lorenzo Sorbo, & María Rodríguez Martínez. (2002). Cosmology of a Brane Radiating Gravitons into the Extra Dimension. Physical Review Letters. 89(17). 171301–171301. 64 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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