Ana Lerga

651 total citations
10 papers, 563 citations indexed

About

Ana Lerga is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Ana Lerga has authored 10 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Cell Biology. Recurrent topics in Ana Lerga's work include Cell death mechanisms and regulation (3 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). Ana Lerga is often cited by papers focused on Cell death mechanisms and regulation (3 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). Ana Lerga collaborates with scholars based in Spain, France and United States. Ana Lerga's co-authors include Marc Hallier, Françoise Moreau-Gachelin, Javier León, M. Dolores Delgado, Matilde Cañelles, A Tavitian, Laurent Delva, Joëlle Marie, Christophe Orvain and Isabelle Gallais and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Ana Lerga

10 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana Lerga Spain 10 454 97 93 70 66 10 563
Andy D.J. Pearson United Kingdom 10 395 0.9× 23 0.2× 201 2.2× 68 1.0× 8 0.1× 12 532
Scott Ditch United States 5 378 0.8× 34 0.4× 17 0.2× 80 1.1× 59 0.9× 8 475
Mohini Lutchman United States 14 325 0.7× 34 0.4× 257 2.8× 56 0.8× 32 0.5× 22 733
Michael R. Rossi United States 12 211 0.5× 11 0.1× 58 0.6× 130 1.9× 9 0.1× 17 440
Andrea Odersky Germany 10 408 0.9× 35 0.4× 113 1.2× 69 1.0× 35 0.5× 16 478
Cécile Pierre‐Eugène France 11 267 0.6× 42 0.4× 123 1.3× 82 1.2× 41 0.6× 17 427
Kathrin T. Doepfner Switzerland 6 230 0.5× 51 0.5× 35 0.4× 34 0.5× 77 1.2× 8 304
Gabriel N. Valbuena United Kingdom 11 219 0.5× 39 0.4× 77 0.8× 38 0.5× 14 0.2× 13 374
Tao P. Zhong China 13 607 1.3× 15 0.2× 41 0.4× 45 0.6× 14 0.2× 20 904
David Immanuel United States 5 405 0.9× 136 1.4× 194 2.1× 18 0.3× 16 0.2× 6 510

Countries citing papers authored by Ana Lerga

Since Specialization
Citations

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

Fields of papers citing papers by Ana Lerga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Lerga

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

All Works

10 of 10 papers shown
1.
Lerga, Ana, Marc Hallier, Laurent Delva, et al.. (2001). Identification of an RNA Binding Specificity for the Potential Splicing Factor TLS. Journal of Biological Chemistry. 276(9). 6807–6816. 153 indexed citations
2.
Lerga, Ana, Carlos Richard, M. Dolores Delgado, et al.. (1999). Apoptosis and Mitotic Arrest Are Two Independent Effects of the Protein Phosphatases Inhibitor Okadaic Acid in K562 Leukemia Cells. Biochemical and Biophysical Research Communications. 260(1). 256–264. 38 indexed citations
3.
Lerga, Ana, Piero Crespo, Marı́a T. Berciano, et al.. (1999). Regulation of c-Myc and Max in megakaryocytic and monocytic-macrophagic differentiation of K562 cells induced by protein kinase C modifiers: c-Myc is down-regulated but does not inhibit differentiation.. PubMed. 10(9). 639–54. 24 indexed citations
4.
Hallier, Marc, et al.. (1998). The Transcription Factor Spi-1/PU.1 Interacts with the Potential Splicing Factor TLS. Journal of Biological Chemistry. 273(9). 4838–4842. 121 indexed citations
5.
6.
Cañelles, Matilde, M. Dolores Delgado, Ana Lerga, et al.. (1997). Max and inhibitory c-Myc mutants induce erythroid differentiation and resistance to apoptosis in human myeloid leukemia cells. Oncogene. 14(11). 1315–1327. 51 indexed citations
8.
Delgado, M. Dolores, Ana Lerga, Matilde Cañelles, María Teresa Gómez‐Casares, & Javier León. (1995). Differential regulation of Max and role of c-Myc during erythroid and myelomonocytic differentiation of K562 cells. PubMed. 10(8). 1659–65. 56 indexed citations
9.
Lerga, Ana, Borja Belandia, M. Dolores Delgado, et al.. (1995). Down Regulation of C-MYC and MAX Genes Is Associated to Inhibition of Protein Phosphatase 2A in K562 Human Leukemia Cells. Biochemical and Biophysical Research Communications. 215(3). 889–895. 16 indexed citations
10.
Gómez‐Casares, María Teresa, M. Dolores Delgado, Ana Lerga, et al.. (1993). Down-Regulation of c-myc Gene Is not Obligatory for Growth Inhibition and Differentiation of Human Myeloid Leukemia Cells. PubMed. 7(11). 1824–33. 19 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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