David Rossell

6.4k total citations · 5 hit papers
39 papers, 4.5k citations indexed

About

David Rossell is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, David Rossell has authored 39 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Statistics and Probability and 10 papers in Artificial Intelligence. Recurrent topics in David Rossell's work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (9 papers) and Bayesian Methods and Mixture Models (4 papers). David Rossell is often cited by papers focused on Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (9 papers) and Bayesian Methods and Mixture Models (4 papers). David Rossell collaborates with scholars based in Spain, United Kingdom and United States. David Rossell's co-authors include Eduard Batlle, Elena Sancho, Valen E. Johnson, Peter Jung, Mar Iglesias, Marta Sevillano, María Virtudes Céspedes, Ramón Mangues, Hans Clevers and Francisco M. Barriga and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

David Rossell

38 papers receiving 4.4k citations

Hit Papers

Dependency of Colorectal Cancer on a TGF-β-Driven Program... 2011 2026 2016 2021 2012 2015 2011 2011 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Rossell Spain 19 2.1k 2.0k 854 582 435 39 4.5k
Holly K. Dressman United States 39 1.4k 0.7× 4.5k 2.2× 1.9k 2.3× 421 0.7× 352 0.8× 75 6.7k
Fei Yang China 27 1.5k 0.7× 3.0k 1.5× 1.6k 1.9× 342 0.6× 297 0.7× 108 4.8k
Qianxing Mo United States 39 1.8k 0.9× 3.2k 1.6× 1.0k 1.2× 845 1.5× 406 0.9× 138 6.2k
Amir A. Jazaeri United States 34 2.3k 1.1× 2.6k 1.3× 1.8k 2.1× 630 1.1× 559 1.3× 169 5.7k
Aedín C. Culhane United States 36 1.0k 0.5× 3.6k 1.8× 1.1k 1.3× 331 0.6× 198 0.5× 71 5.2k
Lao H. Saal Sweden 30 2.1k 1.0× 4.7k 2.3× 2.0k 2.3× 347 0.6× 471 1.1× 76 7.2k
Florian Markowetz United Kingdom 33 1.4k 0.7× 2.9k 1.4× 1.6k 1.8× 393 0.7× 647 1.5× 94 5.6k
Anke Witteveen Netherlands 10 2.7k 1.3× 5.1k 2.5× 3.1k 3.6× 285 0.5× 642 1.5× 18 8.1k
Joshy George United States 34 2.2k 1.0× 4.3k 2.1× 2.0k 2.4× 777 1.3× 428 1.0× 65 7.4k
Mieke Timmermans Netherlands 24 1.6k 0.8× 3.0k 1.5× 1.7k 2.0× 249 0.4× 252 0.6× 42 4.5k

Countries citing papers authored by David Rossell

Since Specialization
Citations

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

Fields of papers citing papers by David Rossell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rossell

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

All Works

20 of 20 papers shown
1.
Rossell, David, et al.. (2024). Semiparametric local variable selection under misspecification. Biometrika. 112(2).
2.
Rossell, David, et al.. (2023). Partial correlation graphical LASSO. Scandinavian Journal of Statistics. 51(1). 32–63. 2 indexed citations
3.
Rossell, David, et al.. (2022). Specification Analysis for Technology Use and Teenager Well-Being: Statistical Validity and a Bayesian Proposal. Journal of the Royal Statistical Society Series C (Applied Statistics). 71(5). 1330–1355. 4 indexed citations
4.
Rossell, David, Oriol Abril, & Anirban Bhattacharya. (2021). Approximate Laplace approximations for scalable model selection. Repositori digital de la UPF (Universitat Pompeu Fabra). 12 indexed citations
5.
Rossell, David & Piotr Zwiernik. (2021). Dependence in elliptical partial correlation graphs. Repositori digital de la UPF (Universitat Pompeu Fabra). 7 indexed citations
6.
Marty, Rachel, Saghar Kaabinejadian, David Rossell, et al.. (2017). MHC-I Genotype Restricts the Oncogenic Mutational Landscape. Cell. 171(6). 1272–1283.e15. 225 indexed citations
7.
Calon, Alexandre, Enza Lonardo, Antonio Berenguer, et al.. (2015). Stromal gene expression defines poor-prognosis subtypes in colorectal cancer. Nature Genetics. 47(4). 320–329. 775 indexed citations breakdown →
8.
Font-Burgada, Joan, Shabnam Shalapour, Suvasini Ramaswamy, et al.. (2015). Hybrid Periportal Hepatocytes Regenerate the Injured Liver without Giving Rise to Cancer. Cell. 162(4). 766–779. 361 indexed citations breakdown →
9.
Duran‐Frigola, Miquel, David Rossell, & Patrick Aloy. (2014). A chemo-centric view of human health and disease. Nature Communications. 5(1). 5676–5676. 20 indexed citations
10.
Rossell, David. (2014). Dades massives i estadística: La perspectiva d'un estadístic. PubMed. 0(0). 143–149. 2 indexed citations
11.
Rossell, David, et al.. (2014). Quantifying alternative splicing from paired-end RNA-sequencing data. The Annals of Applied Statistics. 8(1). 309–330. 23 indexed citations
12.
Calon, Alexandre, Elisa Espinet, Sergio Palomo‐Ponce, et al.. (2012). Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiation. Cancer Cell. 22(5). 571–584. 826 indexed citations breakdown →
13.
Rossell, David & Peter Müller. (2012). Sequential stopping for high-throughput experiments. Biostatistics. 14(1). 75–86. 5 indexed citations
14.
Lloret-Llinares, Marta, Sílvia Pérez-Lluch, David Rossell, et al.. (2012). dKDM5/LID regulates H3K4me3 dynamics at the transcription-start site (TSS) of actively transcribed developmental genes. Nucleic Acids Research. 40(19). 9493–9505. 37 indexed citations
15.
Johnson, Valen E. & David Rossell. (2012). Bayesian Model Selection in High-Dimensional Settings. Journal of the American Statistical Association. 107(498). 649–660. 151 indexed citations
16.
Merlos‐Suárez, Anna, Francisco M. Barriga, Peter Jung, et al.. (2011). The Intestinal Stem Cell Signature Identifies Colorectal Cancer Stem Cells and Predicts Disease Relapse. Cell stem cell. 8(5). 511–524. 688 indexed citations breakdown →
17.
Janic, Ana, Leire Mendizabal, Salud Llamazares, David Rossell, & Cayetano González. (2010). Ectopic Expression of Germline Genes Drives Malignant Brain Tumor Growth in Drosophila. Science. 330(6012). 1824–1827. 217 indexed citations
18.
Geslain, Renaud, et al.. (2009). Chimeric tRNAs as tools to induce proteome damage and identify components of stress responses. Nucleic Acids Research. 38(5). e30–e30. 35 indexed citations
19.
Rossell, David, Rudy Guerra, & Clayton Scott. (2008). Semi-Parametric Differential Expression Analysis via Partial Mixture Estimation. Statistical Applications in Genetics and Molecular Biology. 7(1). Article15–Article15. 12 indexed citations
20.
Rossell, David, Peter Müller, & Gary L. Rosner. (2006). Screening designs for drug development. Biostatistics. 8(3). 595–608. 15 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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