Sanja Rogić

5.6k total citations
21 papers, 802 citations indexed

About

Sanja Rogić is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Sanja Rogić has authored 21 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 7 papers in Genetics. Recurrent topics in Sanja Rogić's work include Lymphoma Diagnosis and Treatment (7 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). Sanja Rogić is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). Sanja Rogić collaborates with scholars based in Canada, United States and Russia. Sanja Rogić's co-authors include B. F. Francis Ouellette, Alan K. Mackworth, Paul Pavlidis, Christian Steidl, Randy D. Gascoyne, Joseph M. Connors, Marco A. Marra, Robert Kridel, Barbara Meissner and Susana Ben‐Neriah and has published in prestigious journals such as Blood, Bioinformatics and American Journal of Psychiatry.

In The Last Decade

Sanja Rogić

20 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanja Rogić Canada 12 496 241 166 148 104 21 802
Lynne Meltesen United States 12 386 0.8× 104 0.4× 86 0.5× 67 0.5× 231 2.2× 15 736
Gordana Raca United States 12 421 0.8× 74 0.3× 59 0.4× 77 0.5× 235 2.3× 28 667
Cindy Chang United States 6 703 1.4× 43 0.2× 131 0.8× 224 1.5× 168 1.6× 7 1.1k
Andreas Dufke Germany 22 695 1.4× 109 0.5× 48 0.3× 80 0.5× 865 8.3× 60 1.4k
Stef van Lieshout Netherlands 7 243 0.5× 72 0.3× 91 0.5× 34 0.2× 208 2.0× 11 519
Pamela Magini Italy 16 347 0.7× 42 0.2× 39 0.2× 52 0.4× 349 3.4× 38 717
Marieta Cagánová Italy 8 528 1.1× 77 0.3× 85 0.5× 31 0.2× 73 0.7× 12 815
Susan Sheldon United States 13 128 0.3× 95 0.4× 80 0.5× 81 0.5× 149 1.4× 21 508
F. Schoute Netherlands 9 455 0.9× 43 0.2× 77 0.5× 34 0.2× 263 2.5× 12 622
Greg B. Peters Australia 14 382 0.8× 46 0.2× 262 1.6× 54 0.4× 385 3.7× 22 785

Countries citing papers authored by Sanja Rogić

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Rogić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Rogić

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Rogić. A scholar is included among the top collaborators of Sanja Rogić 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 Sanja Rogić. Sanja Rogić 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.
McIntosh, Graeme H., Barry P. Young, Tianshun Lian, et al.. (2025). Revealing function-altering MECP2 mutations in individuals with autism spectrum disorder using yeast and Drosophila. Genetics. 231(1).
2.
Li, Lucian, Sanja Rogić, Seon‐Young Kim, et al.. (2022). ModelMatcher: A scientist‐centric online platform to facilitate collaborations between stakeholders of rare and undiagnosed disease research. Human Mutation. 43(6). 743–759. 7 indexed citations
3.
Sin, Wun‐Chey, et al.. (2020). Multi-parametric analysis of 57 SYNGAP1 variants reveal impacts on GTPase signaling, localization, and protein stability. The American Journal of Human Genetics. 108(1). 148–162. 11 indexed citations
4.
Belmadani, Manuel, et al.. (2019). VariCarta: A Comprehensive Database of Harmonized Genomic Variants Found in Autism Spectrum Disorder Sequencing Studies. Autism Research. 12(12). 1728–1736. 21 indexed citations
5.
Rogić, Sanja, et al.. (2016). Meta‐Analysis of Gene Expression Patterns in Animal Models of Prenatal Alcohol Exposure Suggests Role for Protein Synthesis Inhibition and Chromatin Remodeling. Alcoholism Clinical and Experimental Research. 40(4). 717–727. 21 indexed citations
6.
Rogić, Sanja, Cameron J. McDonald, Matthew Jacobson, et al.. (2016). Interactive Exploration, Analysis, and Visualization of Complex Phenome-Genome Datasets with ASPIREdb. Human Mutation. 37(8). 719–726. 1 indexed citations
7.
Cruceanu, Cristiana, Sanja Rogić, Juan Pablo López, et al.. (2015). Transcriptome Sequencing of the Anterior Cingulate in Bipolar Disorder: Dysregulation of G Protein-Coupled Receptors. American Journal of Psychiatry. 172(11). 1131–1140. 31 indexed citations
8.
Meissner, Barbara, Robert Kridel, Raymond S. Lim, et al.. (2013). The E3 ubiquitin ligase UBR5 is recurrently mutated in mantle cell lymphoma. Blood. 121(16). 3161–3164. 93 indexed citations
9.
Scott, David W., Karen Mungall, Susana Ben‐Neriah, et al.. (2012). TBL1XR1/TP63: a novel recurrent gene fusion in B-cell non-Hodgkin lymphoma. Blood. 119(21). 4949–4952. 43 indexed citations
11.
Cheung, Katherine, Sanja Rogić, Susana Ben‐Neriah, et al.. (2011). SNP Analysis of Minimally Evolved t(14;18)(q32;q21)-Positive Follicular Lymphomas Reveals a Common Copy-Neutral Loss of Heterozygosity Pattern. Cytogenetic and Genome Research. 136(1). 38–43. 4 indexed citations
12.
Kridel, Robert, Barbara Meissner, Sanja Rogić, et al.. (2011). Whole Transcriptome Sequencing Reveals Recurrent NOTCH1 Mutations in Mantle Cell Lymphoma. Blood. 118(21). 436–436. 10 indexed citations
13.
Steidl, Christian, Bruce W. Woolcock, Sanja Rogić, et al.. (2011). Inactivating Gene Alterations of MHC Class II Transactivator CIITA Are Recurrent in Primary Mediastinal B Cell Lymphoma and Hodgkin Lymphoma. Blood. 118(21). 437–437. 3 indexed citations
14.
Kridel, Robert, Barbara Meissner, Sanja Rogić, et al.. (2011). Whole transcriptome sequencing reveals recurrent NOTCH1 mutations in mantle cell lymphoma. Blood. 119(9). 1963–1971. 241 indexed citations
15.
Rogić, Sanja. (2009). Meta-analysis of kindling-induced gene expression changes in the rat hippocampus. Frontiers in Neuroscience. 3. 53–53. 7 indexed citations
16.
Rogić, Sanja. (2009). Evaluating and improving the accuracy of computational gene-finding on mammalian DNA sequences. Open Collections. 1 indexed citations
17.
Rogić, Sanja, Ben Montpetit, Holger H. Hoos, et al.. (2008). Correlation between the secondary structure of pre-mRNA introns and the efficiency of splicing in Saccharomyces cerevisiae. BMC Genomics. 9(1). 355–355. 38 indexed citations
18.
Shah, Sohrab P., et al.. (2003). GeneComber: combining outputs of gene prediction programs for improved results. Bioinformatics. 19(10). 1296–1297. 23 indexed citations
19.
Rogić, Sanja, B. F. Francis Ouellette, & Alan K. Mackworth. (2002). Improving gene recognition accuracy by combiningpredictions from two gene-finding programs. Bioinformatics. 18(8). 1034–1045. 30 indexed citations
20.
Rogić, Sanja, Alan K. Mackworth, & B. F. Francis Ouellette. (2001). Evaluation of Gene-Finding Programs on Mammalian Sequences. Genome Research. 11(5). 817–832. 174 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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