Pablo Landgraf

23.8k total citations · 2 hit papers
17 papers, 3.3k citations indexed

About

Pablo Landgraf is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Pablo Landgraf has authored 17 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Pablo Landgraf's work include MicroRNA in disease regulation (8 papers), RNA modifications and cancer (6 papers) and RNA Interference and Gene Delivery (4 papers). Pablo Landgraf is often cited by papers focused on MicroRNA in disease regulation (8 papers), RNA modifications and cancer (6 papers) and RNA Interference and Gene Delivery (4 papers). Pablo Landgraf collaborates with scholars based in United States, Germany and Switzerland. Pablo Landgraf's co-authors include Thomas Tuschl, Mihaela Zavolan, Sébastien Pfeffer, Michael Brownstein, Robert P. Sheridan, James J. Russo, Minchen Chien, Alexei A. Aravin, Patricia Morris and Nicola Iovino and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Pablo Landgraf

17 papers receiving 3.2k citations

Hit Papers

A novel class of small RNAs bind to MILI protein in mouse... 2006 2026 2012 2019 2006 2007 250 500 750 1000
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.

  1. A novel class of small RNAs bind to MILI protein in mouse testes
    2006 1.2k citations Alexei A. Aravin, Dimos Gaidatzis et al. Nature profile →
  2. Cellular cofactors affecting hepatitis C virus infection and replication
    2007 437 citations Glenn Randall, Maryline Panis et al. Proceedings of the National Academy of Sciences profile →

Peers

Pablo Landgraf
Grace Teng United States
Thomas Zeng Canada
Jacob Giehm Mikkelsen Denmark
Mark T.A. Donoghue United States
Adrian R. Krainer United States
Ying Poi Liu Netherlands
Han Xu United States
Leszek J. Klimczak United States
Klemens J. Hertel United States
Lee H. Wong Australia
Grace Teng United States
Pablo Landgraf
Citations per year, relative to Pablo Landgraf Pablo Landgraf (= 1×) peers Grace Teng

Countries citing papers authored by Pablo Landgraf

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Landgraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Landgraf

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

All Works

17 of 17 papers shown
1.
Zarghooni, Kourosh, Grischa Bratke, Pablo Landgraf, et al.. (2023). The diagnosis and treatment of osteosarcoma and Ewing’s sarcoma in children and adolescents. Deutsches Ärzteblatt international. 120(24). 405–412. 18 indexed citations
2.
Becker, Kerstin, Peter Herkenrath, Friederike Körber, et al.. (2018). Dominant SCN2A Mutation Causes Familial Episodic Ataxia and Impairment of Speech Development. Neuropediatrics. 49(6). 379–384. 8 indexed citations
3.
Schäfer, Martin, et al.. (2018). BayMAP: a Bayesian hierarchical model for the analysis of PAR-CLIP data. Bioinformatics. 35(12). 1992–2000. 2 indexed citations
4.
Linka, Yvonne, Sebastian Ginzel, Arndt Borkhardt, & Pablo Landgraf. (2014). Identification of TEL-AML1 (ETV6-RUNX1) associated DNA and its impact on mRNA and protein output using ChIP, mRNA expression arrays and SILAC. Genomics Data. 2. 85–88. 2 indexed citations
5.
Hoell, Jessica I., Michael Gombert, Sebastian Ginzel, et al.. (2014). Constitutional Mismatch Repair-deficiency and Whole-exome Sequencing as the Means of the Rapid Detection of the Causative MSH6 Defect. Klinische Pädiatrie. 226(06/07). 357–361. 13 indexed citations
6.
Daschkey, Svenja, Silja Röttgers, Anamika Giri, et al.. (2013). MicroRNAs Distinguish Cytogenetic Subgroups in Pediatric AML and Contribute to Complex Regulatory Networks in AML-Relevant Pathways. PLoS ONE. 8(2). e56334–e56334. 31 indexed citations
7.
Linka, Yvonne, Sebastian Ginzel, Marcus Krüger, et al.. (2013). The impact of TEL-AML1 (ETV6-RUNX1) expression in precursor B cells and implications for leukaemia using three different genome-wide screening methods. Blood Cancer Journal. 3(10). e151–e151. 26 indexed citations
8.
Connolly, Erin C., Margherita Melegari, Pablo Landgraf, et al.. (2008). Elevated Expression of the miR-17–92 Polycistron and miR-21 in Hepadnavirus-Associated Hepatocellular Carcinoma Contributes to the Malignant Phenotype. American Journal Of Pathology. 173(3). 856–864. 204 indexed citations
9.
Nie, Kui, Mario Gómez, Pablo Landgraf, et al.. (2008). MicroRNA-Mediated Down-Regulation of PRDM1/Blimp-1 in Hodgkin/Reed-Sternberg Cells: A Potential Pathogenetic Lesion in Hodgkin Lymphomas. American Journal Of Pathology. 173(1). 242–252. 133 indexed citations
10.
Teng, Grace, Paul Hakimpour, Pablo Landgraf, et al.. (2008). MicroRNA-155 Is a Negative Regulator of Activation-Induced Cytidine Deaminase. Immunity. 28(5). 621–629. 370 indexed citations
11.
Hafner, Markus, Pablo Landgraf, János Ludwig, et al.. (2007). Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing. Methods. 44(1). 3–12. 380 indexed citations
12.
Scaglione, Brian J., Erica Salerno, Murugabaskar Balan, et al.. (2007). Murine models of chronic lymphocytic leukaemia: role of microRNA‐16 in the New Zealand Black mouse model. British Journal of Haematology. 139(5). 645–657. 40 indexed citations
13.
Raveché, Elizabeth, Erica Salerno, Brian J. Scaglione, et al.. (2007). Abnormal microRNA-16 locus with synteny to human 13q14 linked to CLL in NZB mice. Blood. 109(12). 5079–5086. 216 indexed citations
14.
Randall, Glenn, Maryline Panis, Jacob D. Cooper, et al.. (2007). Cellular cofactors affecting hepatitis C virus infection and replication. Proceedings of the National Academy of Sciences. 104(31). 12884–12889. 437 indexed citations breakdown →
15.
Aravin, Alexei A., Dimos Gaidatzis, Sébastien Pfeffer, et al.. (2006). A novel class of small RNAs bind to MILI protein in mouse testes. Nature. 442(7099). 203–207. 1192 indexed citations breakdown →
16.
Nie, Kui, Mario Gómez, Pablo Landgraf, et al.. (2006). MicroRNA-Mediated Translation Repression of PRDM1 in Hodgkin/Reed-Sternberg Cells - A Potential Pathogenetic Lesion in Hodgkin Lymphoma.. Blood. 108(11). 614–614. 3 indexed citations
17.
Sewer, Alain, Nicodème Paul, Pablo Landgraf, et al.. (2005). Identification of clustered microRNAs using an ab initio prediction method. BMC Bioinformatics. 6(1). 267–267. 198 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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