Jüri Reimand

32.1k total citations · 3 hit papers
57 papers, 6.3k citations indexed

About

Jüri Reimand is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jüri Reimand has authored 57 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 16 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Jüri Reimand's work include Bioinformatics and Genomic Networks (26 papers), Gene expression and cancer classification (13 papers) and Cancer Genomics and Diagnostics (11 papers). Jüri Reimand is often cited by papers focused on Bioinformatics and Genomic Networks (26 papers), Gene expression and cancer classification (13 papers) and Cancer Genomics and Diagnostics (11 papers). Jüri Reimand collaborates with scholars based in Canada, Estonia and United Kingdom. Jüri Reimand's co-authors include Jaak Vilo, Gary D. Bader, Hedi Peterson, T. V. Arak, Meelis Kull, Priit Adler, Sulev Reisberg, Liis Kolberg, Mona Meyer and Ruth Isserlin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jüri Reimand

55 papers receiving 6.2k citations

Hit Papers

Pathway enrichment analys... 2007 2026 2013 2019 2019 2007 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jüri Reimand Canada 26 4.3k 1.4k 818 648 634 57 6.3k
Caroline D. Monteiro United States 6 4.5k 1.1× 1.3k 0.9× 713 0.9× 768 1.2× 1.1k 1.7× 6 7.1k
Claudio Sette Italy 54 6.5k 1.5× 1.3k 0.9× 797 1.0× 858 1.3× 1.1k 1.7× 179 8.9k
Simon Koplev United States 14 4.0k 0.9× 1.2k 0.8× 657 0.8× 690 1.1× 1.1k 1.7× 18 6.6k
Gregory W. Gundersen United States 10 4.7k 1.1× 1.3k 0.9× 744 0.9× 801 1.2× 1.1k 1.7× 11 7.6k
Neil R. Clark United States 16 3.6k 0.8× 846 0.6× 555 0.7× 544 0.8× 778 1.2× 27 5.7k
Sherry L. Jenkins United States 13 5.2k 1.2× 1.4k 1.0× 780 1.0× 881 1.4× 1.2k 1.9× 23 8.4k
Abdel Elkahloun United States 42 4.3k 1.0× 1.5k 1.1× 1.3k 1.6× 1.1k 1.7× 543 0.9× 114 7.1k
Khalid Zuberi Canada 8 3.6k 0.8× 1.0k 0.7× 637 0.8× 578 0.9× 620 1.0× 8 5.4k
Edward Y. Chen United States 12 3.4k 0.8× 830 0.6× 567 0.7× 531 0.8× 763 1.2× 15 5.5k

Countries citing papers authored by Jüri Reimand

Since Specialization
Citations

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

Fields of papers citing papers by Jüri Reimand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jüri Reimand

This figure shows the co-authorship network connecting the top 25 collaborators of Jüri Reimand. A scholar is included among the top collaborators of Jüri Reimand 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 Jüri Reimand. Jüri Reimand 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.
Cai, Yifei, Fuyi Chen, Thy Huynh, et al.. (2025). Myelin–axon interface vulnerability in Alzheimer’s disease revealed by subcellular proteomics and imaging of human and mouse brain. Nature Neuroscience. 28(7). 1418–1435. 1 indexed citations
2.
Mishra, Jyoti, et al.. (2025). Cancer Genomic Alterations and Microenvironmental Features Encode Synergistic Interactions with Disease Outcomes. Molecular Cancer Research. 23(12). 971–983.
3.
Strug, Lisa J., et al.. (2024). Directional integration and pathway enrichment analysis for multi-omics data. Nature Communications. 15(1). 5690–5690. 16 indexed citations
4.
Pasini, Elisa, Cristina Baciu, Bianca M. Arendt, et al.. (2024). Acyl‐CoA Thioesterase 1 Contributes to Transition of Steatosis to Metabolic‐Associated Steatohepatitis. International Journal of Hepatology. 2024(1). 5560676–5560676. 1 indexed citations
5.
Cheng, Kevin, et al.. (2023). Mutational processes of tobacco smoking and APOBEC activity generate protein-truncating mutations in cancer genomes. Science Advances. 9(44). eadh3083–eadh3083. 5 indexed citations
6.
Azhie, Amirhossein, Elisa Pasini, Cristina Baciu, et al.. (2023). Transcriptomic changes in liver transplant recipients with non-alcoholic steatohepatitis indicate dysregulation of wound healing. Frontiers in Endocrinology. 14. 1111614–1111614.
7.
Brar, Amanpreet, Cristina Baciu, Divya Sharma, et al.. (2022). Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review. 3(4). 141–161. 5 indexed citations
8.
Sachdeva, Rohit, Megan Wu, Keren Isaev, et al.. (2019). ID1 Is Critical for Tumorigenesis and Regulates Chemoresistance in Glioblastoma. Cancer Research. 79(16). 4057–4071. 49 indexed citations
9.
Cardeal, Laura Beatriz da Silva, Elisa Napolitano Ferreira, Dirce Maria Carraro, et al.. (2019). A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival. PLoS Genetics. 15(12). e1008482–e1008482. 11 indexed citations
10.
Dzneladze, Irakli, John F. Woolley, Youqi Han, et al.. (2018). SubID, a non-median dichotomization tool for heterogeneous populations, reveals the pan-cancer significance of INPP4B and its regulation by EVI1 in AML. PLoS ONE. 13(2). e0191510–e0191510. 8 indexed citations
11.
Bader, Gary D., et al.. (2016). Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer. Genome Medicine. 8(1). 55–55. 40 indexed citations
12.
Pajtler, Kristian W., Hendrik Witt, Martin Sill, et al.. (2015). EP-03 * MOLECULAR CLASSIFICATION OF EPENDYMAL TUMORS ACROSS ALL CNS COMPARTMENTS, HISTOPATHOLOGICAL GRADES AND AGE GROUPS. Neuro-Oncology. 17(suppl 3). iii6–iii6. 1 indexed citations
13.
Bader, Gary D., et al.. (2014). HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery. Bioinformatics. 30(15). 2230–2232. 24 indexed citations
14.
Tamborero, David, Abel González-Pérez, Christian Perez-Llamas, et al.. (2013). Comprehensive identification of mutational cancer driver genes across 12 tumor types. Scientific Reports. 3(1). 2650–2650. 363 indexed citations
15.
Reimand, Jüri, Gary D. Bader, Abel González-Pérez, et al.. (2013). Thread 2: Network models. Nature Genetics. 1 indexed citations
16.
Xiong, Xiufang, Anna Chorzalska, Patrycja M. Dubielecka, et al.. (2012). Disruption of Abi1/Hssh3bp1 expression induces prostatic intraepithelial neoplasia in the conditional Abi1/Hssh3bp1 KO mice. Oncogenesis. 1(9). e26–e26. 16 indexed citations
17.
Männik, Jaana, Kristiina Rull, Ave Minajeva, et al.. (2012). Mid-Gestational Gene Expression Profile in Placenta and Link to Pregnancy Complications. PLoS ONE. 7(11). e49248–e49248. 59 indexed citations
18.
Reimand, Jüri, T. V. Arak, & Jaak Vilo. (2011). g:Profiler—a web server for functional interpretation of gene lists (2011 update). Nucleic Acids Research. 39(suppl_2). W307–W315. 384 indexed citations
19.
Lõoke, Marko, Jüri Reimand, Tiina Sedman, et al.. (2010). Relicensing of Transcriptionally Inactivated Replication Origins in Budding Yeast. Journal of Biological Chemistry. 285(51). 40004–40011. 25 indexed citations
20.
Reimand, Jüri, et al.. (2007). g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Research. 35(suppl_2). W193–W200. 961 indexed citations breakdown →

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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