Elisa Rivas

2.0k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Elisa Rivas is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Elisa Rivas has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Oncology. Recurrent topics in Elisa Rivas's work include Diabetes and associated disorders (2 papers), Neurological disorders and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Elisa Rivas is often cited by papers focused on Diabetes and associated disorders (2 papers), Neurological disorders and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Elisa Rivas collaborates with scholars based in Spain and United States. Elisa Rivas's co-authors include Jordi Badia-Ramentol, Alexandre Calon, Ángel R. Nebreda, Daniel Byrom, Adrià Cañellas‐Socias, Antoni Riéra, Mar Iglesias, Marta Sevillano, Sales Ibiza and Xavier Hernando‐Momblona and has published in prestigious journals such as Nature, Nature Communications and The Journal of Immunology.

In The Last Decade

Elisa Rivas

7 papers receiving 1.4k citations

Hit Papers

TGFβ drives immune evasion in genetically reconstituted c... 2018 2026 2020 2023 2018 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisa Rivas Spain 7 1.0k 573 455 255 182 7 1.4k
Adrià Cañellas‐Socias Spain 6 1.0k 1.0× 576 1.0× 493 1.1× 271 1.1× 195 1.1× 7 1.5k
Jordi Badia-Ramentol Spain 6 1.1k 1.1× 588 1.0× 491 1.1× 298 1.2× 201 1.1× 7 1.5k
Linda N. Liu United States 12 747 0.7× 672 1.2× 609 1.3× 156 0.6× 274 1.5× 20 1.4k
Crescenzo D’Alterio Italy 19 849 0.8× 533 0.9× 371 0.8× 186 0.7× 172 0.9× 36 1.3k
Federico Sandoval France 9 777 0.8× 594 1.0× 306 0.7× 147 0.6× 179 1.0× 16 1.1k
Rong En Tay United States 5 890 0.9× 894 1.6× 571 1.3× 173 0.7× 153 0.8× 8 1.5k
Marcel P. Trefny Switzerland 9 1.0k 1.0× 1.0k 1.7× 445 1.0× 369 1.4× 220 1.2× 12 1.7k
Liangrong Shi China 17 663 0.7× 544 0.9× 255 0.6× 180 0.7× 184 1.0× 33 1.2k
Evgenii N. Tcyganov United States 6 947 0.9× 1.5k 2.6× 509 1.1× 239 0.9× 159 0.9× 7 2.0k
Huocong Huang United States 18 803 0.8× 464 0.8× 493 1.1× 254 1.0× 114 0.6× 33 1.3k

Countries citing papers authored by Elisa Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Rivas

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

All Works

7 of 7 papers shown
1.
Pagonabarraga, Javier, Rocío Pérez‐González, Helena Bejr‐Kasem, et al.. (2022). Dissociable contribution of plasma NfL and p-tau181 to cognitive impairment in Parkinson's disease. Parkinsonism & Related Disorders. 105. 132–138. 18 indexed citations
2.
Martínez‐Horta, Saül, Jesús Pérez‐Pérez, Rocío Pérez‐González, et al.. (2022). Plasma TDP-43 Reflects Cortical Neurodegeneration and Correlates with Neuropsychiatric Symptoms in Huntington’s Disease. Clinical Neuroradiology. 32(4). 1077–1085. 8 indexed citations
3.
Rivas, Elisa, Jenniffer Linares, Melissa Zwick, et al.. (2022). Targeted immunotherapy against distinct cancer-associated fibroblasts overcomes treatment resistance in refractory HER2+ breast tumors. Nature Communications. 13(1). 5310–5310. 40 indexed citations
4.
Suñer, Clara, Annarita Sibilio, Chiara Lara Castellazzi, et al.. (2022). Macrophage inflammation resolution requires CPEB4-directed offsetting of mRNA degradation. eLife. 11. 16 indexed citations
5.
Tauriello, Daniele V. F., Sergio Palomo‐Ponce, Antonio Berenguer, et al.. (2018). TGFβ drives immune evasion in genetically reconstituted colon cancer metastasis. Nature. 554(7693). 538–543. 1308 indexed citations breakdown →
6.
Presa, Maximiliano, Nahir Garabatos, Cristina Izquierdo, et al.. (2013). Cholera toxin subunit B peptide fusion proteins reveal impaired oral tolerance induction in diabetes‐prone but not in diabetes‐resistant mice. European Journal of Immunology. 43(11). 2969–2979. 8 indexed citations
7.
Rivas, Elisa, John P. Driver, Nahir Garabatos, et al.. (2011). Targeting of a T Cell Agonist Peptide to Lysosomes by DNA Vaccination Induces Tolerance in the Nonobese Diabetic Mouse. The Journal of Immunology. 186(7). 4078–4087. 8 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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