Alberto Herrera

513 total citations
12 papers, 360 citations indexed

About

Alberto Herrera is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Alberto Herrera has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Alberto Herrera's work include Cancer Cells and Metastasis (6 papers), Fibroblast Growth Factor Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Alberto Herrera is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Fibroblast Growth Factor Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Alberto Herrera collaborates with scholars based in Spain, United States and Sweden. Alberto Herrera's co-authors include Jiehua Zhou, John Rossi, Shinichiro Hori, Cristina Peña, Mercedes Herrera, Vanesa García‐Barberán, María Jesús Larriba, Félix Bonilla, Javier Silva and Beatriz Soldevilla and has published in prestigious journals such as International Journal of Cancer, eLife and Molecular Therapy.

In The Last Decade

Alberto Herrera

11 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Herrera Spain 8 266 108 90 57 45 12 360
Pingguo Liu China 13 194 0.7× 80 0.7× 98 1.1× 35 0.6× 34 0.8× 30 357
Elena Laura Mazzoldi Italy 7 224 0.8× 89 0.8× 68 0.8× 60 1.1× 38 0.8× 18 323
Yiling Meng China 9 223 0.8× 66 0.6× 119 1.3× 32 0.6× 34 0.8× 19 381
Anna V. Cherepanova Russia 7 277 1.0× 179 1.7× 72 0.8× 40 0.7× 45 1.0× 14 411
Teng Cheng China 11 186 0.7× 124 1.1× 81 0.9× 66 1.2× 26 0.6× 19 308
Jia Fan China 12 149 0.6× 62 0.6× 90 1.0× 26 0.5× 37 0.8× 28 324
Hanhan Shi China 7 242 0.9× 123 1.1× 75 0.8× 17 0.3× 48 1.1× 17 338

Countries citing papers authored by Alberto Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Herrera

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

All Works

12 of 12 papers shown
1.
2.
Herrera, Alberto, Jiehua Zhou, Min-Sun Song, & John J. Rossi. (2023). Evolution of Cell-Type-Specific RNA Aptamers via Live Cell-Based SELEX. Methods in molecular biology. 2666. 317–346. 3 indexed citations
3.
Herrera, Alberto, et al.. (2019). Fibroblast-Derived 3D Matrix System Applicable to Endothelial Tube Formation Assay. Journal of Visualized Experiments. 2 indexed citations
4.
Zhou, Jiehua, Haitang Li, Alberto Herrera, et al.. (2019). Anti-inflammatory Activity of MTL-CEBPA, a Small Activating RNA Drug, in LPS-Stimulated Monocytes and Humanized Mice. Molecular Therapy. 27(5). 999–1016. 28 indexed citations
5.
Herrera, Alberto, Mercedes Herrera, Natalia Guerra‐Pérez, et al.. (2018). Endothelial cell activation on 3D-matrices derived from PDGF-BB-stimulated fibroblasts is mediated by Snail1. Oncogenesis. 7(9). 76–76. 28 indexed citations
6.
Hori, Shinichiro, Alberto Herrera, John Rossi, & Jiehua Zhou. (2018). Current Advances in Aptamers for Cancer Diagnosis and Therapy. Cancers. 10(1). 9–9. 136 indexed citations
7.
Herrera, Mercedes, Alberto Herrera, María Jesús Larriba, et al.. (2016). Colon Cancer-associated Fibroblast Establishment and Culture Growth. BIO-PROTOCOL. 6(7). 6 indexed citations
8.
Herrera, Alberto, Mercedes Herrera, & Cristina Peña. (2015). The emerging role of Snail1 in the tumor stroma. Clinical & Translational Oncology. 18(9). 872–877. 15 indexed citations
9.
Rodríguez, Marta, Javier Silva, Alberto Herrera, et al.. (2015). Exosomes enriched in stemness/metastatic-related mRNAS promote oncogenic potential in breast cancer. Oncotarget. 6(38). 40575–40587. 74 indexed citations
10.
Herrera, Alberto, Mercedes Herrera, Lorena Alba‐Castellón, et al.. (2013). Protumorigenic effects of Snail‐expression fibroblasts on colon cancer cells. International Journal of Cancer. 134(12). 2984–2990. 36 indexed citations
11.
Mohammed, N., María E. Rodríguez, J.M. Jurado, et al.. (2011). EPAS1 mRNA in plasma from colorectal cancer patients is associated with poor outcome in advanced stages. Oncology Letters. 2(4). 719–724. 23 indexed citations
12.
Herrera, Alberto, et al.. (1996). Generation of memory CD4+, CD8+, CD45RO+ and CD16- lymphocytes activated with IL-2, INF-gamma, and TNF-alpha with specific cytotoxicity against autologous cervical cancer cells in a mixed leukocyte-tumour cell culture.. PubMed. 6(3). 195–202. 9 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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2026