Paula Nieto

1.1k total citations · 1 hit paper
9 papers, 466 citations indexed

About

Paula Nieto is a scholar working on Molecular Biology, Immunology and Endocrine and Autonomic Systems. According to data from OpenAlex, Paula Nieto has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Paula Nieto's work include Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers) and interferon and immune responses (1 paper). Paula Nieto is often cited by papers focused on Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers) and interferon and immune responses (1 paper). Paula Nieto collaborates with scholars based in Spain, Germany and Argentina. Paula Nieto's co-authors include Holger Heyn, Marc Elosua-Bayés, Marta Gut, Elisabetta Mereu, Anna Mallol, Bernhard Payer, Sílvia Llonch, Filippo Zambelli, Sara Ruiz and Rita Vassena and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Paula Nieto

8 papers receiving 462 citations

Hit Papers

SPOTlight: seeded NMF regression to deconvolute spatial t... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Nieto Spain 5 390 115 77 73 55 9 466
Chantriolnt-Andreas Kapourani United Kingdom 5 500 1.3× 55 0.5× 57 0.7× 109 1.5× 15 0.3× 5 529
Veronika R. Kedlian United Kingdom 3 456 1.2× 159 1.4× 74 1.0× 92 1.3× 8 0.1× 5 537
Takahiro Asatsuma Australia 1 310 0.8× 88 0.8× 40 0.5× 79 1.1× 10 0.2× 2 418
David DeTomaso United States 7 310 0.8× 126 1.1× 41 0.5× 75 1.0× 7 0.1× 9 411
Angelo Nuzzo Italy 8 351 0.9× 35 0.3× 23 0.3× 98 1.3× 15 0.3× 15 405
Anna C. Schaar Germany 3 456 1.2× 128 1.1× 113 1.5× 62 0.8× 4 0.1× 6 533
Heather Eckart United States 8 291 0.7× 74 0.6× 7 0.1× 99 1.4× 13 0.2× 11 387
Bernhard Reuter Germany 4 255 0.7× 60 0.5× 42 0.5× 48 0.7× 7 0.1× 7 335
Lydia Hopp Germany 15 316 0.8× 53 0.5× 8 0.1× 79 1.1× 7 0.1× 26 430
Louis B. Kuemmerle Germany 2 378 1.0× 111 1.0× 85 1.1× 51 0.7× 4 0.1× 3 442

Countries citing papers authored by Paula Nieto

Since Specialization
Citations

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

Fields of papers citing papers by Paula Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Nieto

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

All Works

9 of 9 papers shown
1.
Caratù, Ginevra, Paula Nieto, Holger Heyn, et al.. (2025). Transcriptional reprogramming triggered by neonatal UV radiation or Lkb1 loss prevents BRAFV600E-induced growth arrest in melanocytes. Oncogene. 44(21). 1592–1608.
2.
Güç, Esra, Agatha Treveil, Emma Leach, et al.. (2025). Tebentafusp, a T cell engager, promotes macrophage reprogramming and in combination with IL-2 overcomes macrophage immunosuppression in cancer. Nature Communications. 16(1). 2374–2374. 4 indexed citations
3.
Rodriguez, J.M. Piulats, Agatha Treveil, Paula Nieto, et al.. (2023). 2238P Tebentafusp reprograms immunosuppressive tumor-associated M2 macrophages towards anti-tumoral M1 macrophages. Annals of Oncology. 34. S1152–S1153. 1 indexed citations
4.
Elosua-Bayés, Marc, Paula Nieto, Elisabetta Mereu, Marta Gut, & Holger Heyn. (2021). SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes. Nucleic Acids Research. 49(9). e50–e50. 379 indexed citations breakdown →
5.
Llonch, Sílvia, Montserrat Barragán, Paula Nieto, et al.. (2021). Single human oocyte transcriptome analysis reveals distinct maturation stage‐dependent pathways impacted by age. Aging Cell. 20(5). e13360–e13360. 67 indexed citations
6.
Nieto, Paula, et al.. (2015). Effects of Different PER Translational Kinetics on the Dynamics of a Core Circadian Clock Model. PLoS ONE. 10(1). e0115067–e0115067. 7 indexed citations
7.
Menéndez, Pablo, Pedro Villarejo‐Campos, David Padilla, et al.. (2013). Utilidad de la determinación sérica de microRNA-21 en la enfermedad inflamatoria del colon. Revista de Gastroenterología de México. 78(2). 70–74. 1 indexed citations
8.
Nieto, Paula, et al.. (1990). The inhibitory effect of ionizing radiation on Fc and C3 receptors on mouse and human leukocytes, and the protective potential of human albumin.. PubMed. 18(7). 853–6. 2 indexed citations
9.
Spinolo, Jorge A., et al.. (1989). Detection of minimal residual disease in acute myelogenous leukemia by RNA-in situ hybridization.. PubMed. 4 Suppl 1. 13–5. 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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