Jonas Vikesaa

958 total citations
9 papers, 743 citations indexed

About

Jonas Vikesaa is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jonas Vikesaa has authored 9 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Jonas Vikesaa's work include RNA Research and Splicing (2 papers), Cancer Cells and Metastasis (1 paper) and RNA modifications and cancer (1 paper). Jonas Vikesaa is often cited by papers focused on RNA Research and Splicing (2 papers), Cancer Cells and Metastasis (1 paper) and RNA modifications and cancer (1 paper). Jonas Vikesaa collaborates with scholars based in Denmark and Estonia. Jonas Vikesaa's co-authors include Finn Cilius Nielsen, Rehannah Borup, Thomas van Overeem Hansen, Jan Christiansen, Lars Jønson, Ulla M. Wewer, Anders H. Johnsen, Lars K. Nielsen, Anders Krogh and Erik Dabelsteen and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and PLoS ONE.

In The Last Decade

Jonas Vikesaa

9 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Vikesaa Denmark	8	534	244	120	87	79	9	743
Rajat Banerjee United States	14	393 0.7×	153 0.6×	192 1.6×	57 0.7×	56 0.7×	19	630
Kimberly Laskie Ostrow United States	17	802 1.5×	293 1.2×	144 1.2×	31 0.4×	77 1.0×	22	1.1k
Stephanie Burke United States	14	691 1.3×	230 0.9×	143 1.2×	108 1.2×	107 1.4×	19	986
Gitali Ganguli France	8	491 0.9×	125 0.5×	284 2.4×	66 0.8×	41 0.5×	9	627
Cassin Kimmel Williams United States	6	498 0.9×	145 0.6×	156 1.3×	91 1.0×	39 0.5×	7	771
Jennifer Leary Australia	16	263 0.5×	124 0.5×	223 1.9×	44 0.5×	59 0.7×	18	629
Sheng‐Ben Liang Japan	14	421 0.8×	78 0.3×	185 1.5×	65 0.7×	65 0.8×	21	691
Ayaka Otsuka Japan	10	413 0.8×	100 0.4×	90 0.8×	54 0.6×	56 0.7×	11	570
Toby Hulf Australia	10	883 1.7×	574 2.4×	98 0.8×	37 0.4×	80 1.0×	11	1.0k
Hashmat Sikder United States	6	366 0.7×	125 0.5×	135 1.1×	51 0.6×	32 0.4×	6	515

Countries citing papers authored by Jonas Vikesaa

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Vikesaa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Vikesaa

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

All Works

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9 of 9 papers shown

Hansen, Thomas van Overeem, et al.. (2015). High-density SNP arrays improve detection of HER2 amplification and polyploidy in breast tumors. BMC Cancer. 15(1). 35–35. 9 indexed citations

Dabelsteen, Erik, Lena Specht, Anne‐Marie Kanstrup Fiehn, et al.. (2015). Molecular profiling of tumour budding implicates TGFβ‐mediated epithelial–mesenchymal transition as a therapeutic target in oral squamous cell carcinoma. The Journal of Pathology. 236(4). 505–516. 104 indexed citations

Santoni‐Rugiu, Eric, et al.. (2014). Copenhagen prospective personalized oncology (CoPPO): Sequencing and array-based pipeline for selection of patients to phase 1 studies.. Journal of Clinical Oncology. 32(15_suppl). 11097–11097. 1 indexed citations

Schuster, Mikkel Bruhn, Anne-Katrine Frank, Frederik Otzen Bagger, et al.. (2013). Lack of the p42 form of C/EBPα leads to spontaneous immortalization and lineage infidelity of committed myeloid progenitors. Experimental Hematology. 41(10). 882–893.e16. 8 indexed citations

Hundahl, Christian Ansgar, Hendrik Luuk, Sten Ilmjärv, et al.. (2011). Neuroglobin-Deficiency Exacerbates Hif1A and c-FOS Response, but Does Not Affect Neuronal Survival during Severe Hypoxia In Vivo. PLoS ONE. 6(12). e28160–e28160. 45 indexed citations

Rossing, Maria, Rehannah Borup, Ricardo Henao, et al.. (2011). Down-regulation of microRNAs controlling tumourigenic factors in follicular thyroid carcinoma. Journal of Molecular Endocrinology. 48(1). 11–23. 69 indexed citations

Rehfeld, Jens F., Xiaorong Zhu, Christina Norrbom, et al.. (2008). Prohormone convertases 1/3 and 2 together orchestrate the site-specific cleavages of progastrin to release gastrin-34 and gastrin-17. Biochemical Journal. 415(1). 35–43. 36 indexed citations

Vikesaa, Jonas, Anders Krogh, Lars K. Nielsen, et al.. (2007). Molecular Composition of IMP1 Ribonucleoprotein Granules. Molecular & Cellular Proteomics. 6(5). 798–811. 186 indexed citations

Vikesaa, Jonas, Thomas van Overeem Hansen, Lars Jønson, et al.. (2006). RNA‐binding IMPs promote cell adhesion and invadopodia formation. The EMBO Journal. 25(7). 1456–1468. 285 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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