Mari Olsen

5.2k total citations · 3 hit papers
19 papers, 3.3k citations indexed

About

Mari Olsen is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Mari Olsen has authored 19 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Mari Olsen's work include Cancer Genomics and Diagnostics (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and RNA Research and Splicing (4 papers). Mari Olsen is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and RNA Research and Splicing (4 papers). Mari Olsen collaborates with scholars based in United States, France and Belgium. Mari Olsen's co-authors include Patrick O. Brown, Julia Salzman, Peter L. Wang, Raymond Chen, Gregory J. Hogan, Steven Barrett, José R. Dinneny, Yun Bao, Muh‐Ching Yee and Anson W. Lowe and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Mari Olsen

16 papers receiving 3.3k citations

Hit Papers

Cell-Type Specific Features of Circular RNA Expression 2013 2026 2017 2021 2013 2014 2024 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mari Olsen United States 12 3.0k 2.3k 368 139 110 19 3.3k
Monique A.J. van Eijndhoven Netherlands 9 2.3k 0.8× 1.6k 0.7× 223 0.6× 272 2.0× 33 0.3× 14 2.6k
Katherine Cosmopoulos United States 7 1.5k 0.5× 959 0.4× 386 1.0× 222 1.6× 43 0.4× 7 1.8k
Erik Hopmans United States 10 1.9k 0.6× 1.3k 0.6× 538 1.5× 292 2.1× 107 1.0× 16 2.5k
Maria Francesca Baietti Belgium 14 1.7k 0.6× 869 0.4× 208 0.6× 244 1.8× 57 0.5× 19 2.0k
Vandhana Muralidharan-Chari United States 12 1.9k 0.6× 994 0.4× 236 0.6× 328 2.4× 81 0.7× 17 2.2k
Brandon Leonard United States 13 1.0k 0.3× 451 0.2× 445 1.2× 231 1.7× 150 1.4× 24 1.5k
Harris S. Soifer United States 17 1.5k 0.5× 554 0.2× 168 0.5× 234 1.7× 265 2.4× 30 1.9k
James Clancy United States 17 3.0k 1.0× 1.7k 0.7× 254 0.7× 561 4.0× 54 0.5× 23 3.4k
Sophie Krumeich France 15 3.6k 1.2× 2.1k 0.9× 438 1.2× 1.0k 7.5× 89 0.8× 18 4.3k
Volker Jung Germany 24 1.0k 0.3× 624 0.3× 252 0.7× 163 1.2× 210 1.9× 49 2.0k

Countries citing papers authored by Mari Olsen

Since Specialization
Citations

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

Fields of papers citing papers by Mari Olsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Olsen

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

All Works

19 of 19 papers shown
1.
Harrison, Ian T., et al.. (2025). LDBT instead of DBTL: combining machine learning and rapid cell-free testing. Nature Communications. 16(1). 9782–9782.
2.
Kastenschmidt, Jenna M., Joseph G. Schroers‐Martin, Brian J. Sworder, et al.. (2024). A human lymphoma organoid model for evaluating and targeting the follicular lymphoma tumor immune microenvironment. Cell stem cell. 31(3). 410–420.e4. 29 indexed citations
4.
Hamilton, Mark, Takeshi Sugio, Troy Noordenbos, et al.. (2024). Risk of Second Tumors and T-Cell Lymphoma after CAR T-Cell Therapy. New England Journal of Medicine. 390(22). 2047–2060. 93 indexed citations breakdown →
5.
Schroers‐Martin, Joseph G., Jurik Mutter, Mohammad Shahrokh Esfahani, et al.. (2023). Longitudinal Noninvasive Surveillance & Fragmentomic Characterization of Follicular Lymphoma. Blood. 142(Supplement 1). 528–528.
6.
Rossi, Cédric, Stefan Alig, Andrea Garofalo, et al.. (2023). Distinct Circulating Genomic Features of Classical Hodgkin Lymphoma of Older Adults. Blood. 142(Supplement 1). 4369–4369. 1 indexed citations
7.
Kurtz, David M., Jacob J. Chabon, Brian J. Sworder, et al.. (2021). Leveraging phased variants for personalized minimal residual disease detection in localized non-small cell lung cancer.. Journal of Clinical Oncology. 39(15_suppl). 8518–8518. 2 indexed citations
8.
Field, Andrew R., Frank M. J. Jacobs, Ian T. Fiddes, et al.. (2019). Structurally Conserved Primate LncRNAs Are Transiently Expressed during Human Cortical Differentiation and Influence Cell-Type-Specific Genes. Stem Cell Reports. 12(2). 245–257. 45 indexed citations
9.
Wang, Peter L., Yun Bao, Muh‐Ching Yee, et al.. (2014). Circular RNA Is Expressed across the Eukaryotic Tree of Life. PLoS ONE. 9(3). e90859–e90859. 604 indexed citations breakdown →
10.
Salzman, Julia, Raymond Chen, Mari Olsen, Peter L. Wang, & Patrick O. Brown. (2013). Correction: Cell-Type Specific Features of Circular RNA Expression. PLoS Genetics. 9(12). 300 indexed citations
11.
Salzman, Julia, Raymond Chen, Mari Olsen, Peter L. Wang, & Patrick O. Brown. (2013). Cell-Type Specific Features of Circular RNA Expression. PLoS Genetics. 9(9). e1003777–e1003777. 1550 indexed citations breakdown →
12.
Houshdaran, Sahar, Sarah T. Hawley, Chana Palmer, et al.. (2010). DNA Methylation Profiles of Ovarian Epithelial Carcinoma Tumors and Cell Lines. PLoS ONE. 5(2). e9359–e9359. 72 indexed citations
13.
Lowe, Anson W., Mari Olsen, Ying Hao, et al.. (2007). Gene Expression Patterns in Pancreatic Tumors, Cells and Tissues. PLoS ONE. 2(3). e323–e323. 83 indexed citations
14.
Olsen, Mari. (2007). Soviet-Vietnam Relations and the Role of China 1949-64. 3 indexed citations
15.
Korreman, Stine, Lasse Rye Aarup, Mari Olsen, et al.. (2005). 144 Changes in respiratory pattern during curative radiotherapy for lung cancer. Radiotherapy and Oncology. 76. S74–S75. 5 indexed citations
16.
Iacobuzio–Donahue, Christine A., Anirban Maitra, Mari Olsen, et al.. (2003). Exploration of Global Gene Expression Patterns in Pancreatic Adenocarcinoma Using cDNA Microarrays. American Journal Of Pathology. 162(4). 1151–1162. 394 indexed citations
17.
Rothenberg, S. Michael, et al.. (2001). Comprehensive Mutational Analysis of the Moloney Murine Leukemia Virus Envelope Protein. Journal of Virology. 75(23). 11851–11862. 33 indexed citations
18.
Laurent, Louise C., et al.. (2000). Functional Characterization of the Human Immunodeficiency Virus Type 1 Genome by Genetic Footprinting. Journal of Virology. 74(6). 2760–2769. 32 indexed citations
19.
Gerton, Jennifer L., et al.. (1998). Effects of Mutations in Residues near the Active Site of Human Immunodeficiency Virus Type 1 Integrase on Specific Enzyme-Substrate Interactions. Journal of Virology. 72(6). 5046–5055. 72 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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