Vlad Popovici

4.1k total citations · 1 hit paper
60 papers, 1.8k citations indexed

About

Vlad Popovici is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Vlad Popovici has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 17 papers in Artificial Intelligence and 16 papers in Molecular Biology. Recurrent topics in Vlad Popovici's work include Colorectal Cancer Treatments and Studies (21 papers), Genetic factors in colorectal cancer (16 papers) and Face and Expression Recognition (14 papers). Vlad Popovici is often cited by papers focused on Colorectal Cancer Treatments and Studies (21 papers), Genetic factors in colorectal cancer (16 papers) and Face and Expression Recognition (14 papers). Vlad Popovici collaborates with scholars based in Switzerland, Czechia and Belgium. Vlad Popovici's co-authors include Eva Budínská, Mauro Delorenzi, Fred T. Bosman, Sabine Tejpar, Antonio Fabio Di Narzo, Jean‐Philippe Thiran, Arnaud Roth, Scott L. Weinrich, Charlotte Soneson and Bart Jacobs and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Vlad Popovici

54 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features

2014 477 citations Edoardo Missiaglia, Bart Jacobs et al. Annals of Oncology profile →

Peers

Countries citing papers authored by Vlad Popovici

Since Specialization

Citations

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

Fields of papers citing papers by Vlad Popovici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vlad Popovici

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	IntOMICS: A Bayesian Framework for Reconstructing Regulatory Networks Using Multi-Omics Data 2023 ·Journal of Computational Biology ·(unknown), Vlad Popovici	1
2	Molecular portraits of colorectal cancer morphological regions 2023 ·eLife ·Eva Budínská, (unknown), Tina Catela Ivković, (unknown), Rudolf Nenutil, (unknown), (unknown), (unknown), Lenka Zdražilová Dubská, Ondřej Slabý, Josef Feit, Mihnea P. Dragomir, Petra Bořilová Linhartová, Sabine Tejpar, Vlad Popovici	7
3	Using empirical biological knowledge to infer regulatory networks from multi-omics data 2022 ·BMC Bioinformatics ·(unknown), Vlad Popovici	3
4	Disentangled Autoencoder for Cross-Stain Feature Extraction in Pathology Image Analysis 2020 ·Applied Sciences ·Helge Hecht, (unknown), Vlad Popovici	5
5	Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases 2019 ·BMC Cancer ·(unknown), Vlad Popovici, Sara Imboden, Stefan Aebi, (unknown), Hans Jörg Altermatt, Andreas R. Günthert, Rolf Jaggi	8
6	Stool sampling and DNA isolation kits affect DNA quality and bacterial composition following 16S rRNA gene sequencing using MiSeq Illumina platform 2019 ·Scientific Reports ·(unknown), Kristýna Šmerková, (unknown), Vlad Popovici, Lenka Micenková, Karel Sedlář, Eva Budínská	51
7	The Unfolded Protein Response: A Novel Therapeutic Target for Poor Prognostic BRAF Mutant Colorectal Cancer 2018 ·Molecular Cancer Therapeutics ·(unknown), Alaa Refaat, (unknown), Hajrah Khawaja, (unknown), (unknown), Wendy L. Allen, (unknown), Vlad Popovici, Puthen V. Jithesh, Claudio Isella, Melissa J. LaBonte, Ian G. Mills, Patrick G. Johnston, Sandra Van Schaeybroeck	19
8	MErCuRIC1: A phase 1a study of MEK1/2 inhibitor PD-0325901 with cMET inhibitor crizotinib in patients with advanced solid tumours 2016 ·Annals of Oncology ·Robert H. Wilson, Mark R. Middleton, (unknown), Sandra Van Schaeybroeck, Christian Rolfo, Élena Elez, Julien Taı̈eb, (unknown), Alberto Bardelli, Pierre Laurent‐Puig, Josep Tabernero, Marc Peeters, Tim Maughan, Claire Roberts, Sharon Love, Mark Lawler, Manuel Salto‐Tellez, (unknown), Vlad Popovici, Federica Di Nicolantonio	1
9	Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features breakdown → 2014 ·Annals of Oncology ·Edoardo Missiaglia, Bart Jacobs, (unknown), Antonio Fabio Di Narzo, Charlotte Soneson, Eva Budínská, Vlad Popovici, Loredana Vecchione, Sarah Gerster, Ping Yan, A. Roth, Dirk Klingbiel, Fred T. Bosman, Mauro Delorenzi, Sabine Tejpar	477
10	Test of Four Colon Cancer Risk-Scores in Formalin Fixed Paraffin Embedded Microarray Gene Expression Data 2014 ·JNCI Journal of the National Cancer Institute ·Antonio Fabio Di Narzo, Sabine Tejpar, Simona Rossi, Pu Yan, Vlad Popovici, Pratyaksha Wirapati, Eva Budínská, Tao Xie, Heather Estrella, Adam Pavlı́c̀ek, Mao Mao, Eric S. Martin, (unknown), Fred T. Bosman, Arnaud Roth, Mauro Delorenzi	39
11	Context-dependent interpretation of the prognostic value of BRAF and KRAS mutations in colorectal cancer 2013 ·BMC Cancer ·Vlad Popovici, Eva Budínská, Fred T. Bosman, Sabine Tejpar, Arnaud Roth, Mauro Delorenzi	31
12	Identification of a Poor-Prognosis BRAF-Mutant Like Populationof Patients With Colon Cancer. Journal of Clinical Oncology,30(12):12BB-1295, 2012 2012 ·Journal of Clinical Oncology ·Vlad Popovici, Eva Budínská, Sabine Tejpar, Scott L. Weinrich, Heather Estrella, Graeme Hodgson, Eric Van Cutsem, Tao Xie, Fred T. Bosman, Arnaud Roth, Mauro Delorenzi	1
13	A robust genomic signature for the detection of colorectal cancer patients with microsatellite instability phenotype and high mutation frequency 2012 ·The Journal of Pathology ·Sun Tian, Paul Roepman, Vlad Popovici, Magali Michaut, Ian J. Majewski, Ramón Salazar, Cristina Santos, Robert Rosenberg, Ulrich Nitsche, Wilma E. Mesker, Sjoerd C. Bruin, Sabine Tejpar, Mauro Delorenzi, René Bernards, Iris Simón	39
14	A Comprehensive Characterization of Genome-Wide Copy Number Aberrations in Colorectal Cancer Reveals Novel Oncogenes and Patterns of Alterations 2012 ·PLoS ONE ·Tao Xie, (unknown), John R. Lamb, Eric S. Martin, Kai Wang, Sabine Tejpar, Mauro Delorenzi, Fred T. Bosman, Arnaud Roth, Pu Yan, Stéphanie Bougel, Antonio Fabio Di Narzo, Vlad Popovici, Eva Budínská, Mao Mao, Scott L. Weinrich, Paul A. Rejto, John Hodgson	65
15	Effect of training-sample size and classification difficulty on the accuracy of genomic predictors 2010 ·Breast Cancer Research ·Vlad Popovici, Weijie Chen, Brandon D. Gallas, Christos Hatzis, Weiwei Shi, F. W. Samuelson, Yuri Nikolsky, (unknown), (unknown), Tatiana Nikolskaya, Kenneth R. Hess, Vicente Valero, Daniel J. Booser, Mauro Delorenzi, Gabriel N. Hortobágyi, Leming Shi, W. Fraser Symmans, Lajos Pusztai	155
16	Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue 2010 ·BMC Cancer ·Janine Antonov, Vlad Popovici, Mauro Delorenzi, Pratyaksha Wirapati, Anna Baltzer, (unknown), Beat Thürlimann, Anita Giobbie‐Hurder, Giuseppe Viale, Hans Jörg Altermatt, Stefan Aebi, Rolf Jaggi	7
17	Expression profiling with RNA from formalin-fixed, paraffin-embedded material 2008 ·BMC Medical Genomics ·(unknown), Vlad Popovici, Mauro Delorenzi, Anna Baltzer, Janine Antonov, (unknown), Stefan Aebi, Hans Jörg Altermatt, Rolf Jaggi	45
18	Mixtures of boosted classifiers for frontal face detection 2007 ·Signal Image and Video Processing ·(unknown), Vlad Popovici, Jean‐Philippe Thiran	6
19	Adaptive Kernel Matching Pursuit for Pattern Classification 2004 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Vlad Popovici, Jean‐Philippe Thiran	2
20	Face Class Modeling in Eigenfaces Space 2003 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Vlad Popovici, Jean‐Philippe Thiran	1

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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