Mark Olsen

2.9k total citations
41 papers, 1.6k citations indexed

About

Mark Olsen is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark Olsen has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark Olsen's work include Cancer, Hypoxia, and Metabolism (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Epigenetics and DNA Methylation (9 papers). Mark Olsen is often cited by papers focused on Cancer, Hypoxia, and Metabolism (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Epigenetics and DNA Methylation (9 papers). Mark Olsen collaborates with scholars based in United States, Czechia and Canada. Mark Olsen's co-authors include Brent L. Iverson, Patrick S. Daugherty, George Georgiou, K. Dane Wittrup, Jongsik Gam, Joie Rowles, Navin Varadarajan, Jennifer R. Cochran, Yong‐Sung Kim and Daren Stephens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Mark Olsen

40 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Olsen United States 19 1.2k 463 314 185 159 41 1.6k
Olga Greco United Kingdom 21 768 0.6× 158 0.3× 308 1.0× 179 1.0× 98 0.6× 34 1.3k
Iring Heisler Germany 14 707 0.6× 115 0.2× 368 1.2× 242 1.3× 46 0.3× 22 1.2k
Giuseppe Roscilli Italy 25 1.1k 0.9× 135 0.3× 367 1.2× 573 3.1× 64 0.4× 48 1.8k
Andrew E. Nixon United States 20 965 0.8× 479 1.0× 34 0.1× 153 0.8× 116 0.7× 44 1.3k
Matthew K. Robinson United States 23 666 0.6× 612 1.3× 102 0.3× 389 2.1× 199 1.3× 51 1.6k
Jingyi Yu China 11 1.2k 1.0× 149 0.3× 342 1.1× 330 1.8× 91 0.6× 22 1.8k
Gur Pines Israel 13 1.2k 1.0× 278 0.6× 171 0.5× 658 3.6× 73 0.5× 30 1.8k
William D. Wright United States 22 1.6k 1.3× 109 0.2× 337 1.1× 356 1.9× 90 0.6× 46 1.8k
S. Gräslund Sweden 21 1.1k 0.9× 364 0.8× 83 0.3× 125 0.7× 43 0.3× 43 1.5k
Douglas M. Gersten United States 16 884 0.7× 323 0.7× 444 1.4× 620 3.4× 92 0.6× 77 1.8k

Countries citing papers authored by Mark Olsen

Since Specialization
Citations

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

Fields of papers citing papers by Mark Olsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Olsen

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Olsen. A scholar is included among the top collaborators of Mark 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 Mark Olsen. Mark Olsen 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.
Kos, Jiří, et al.. (2025). Unveiling the transformative power of near-infrared spectroscopy in biomedical and pharmaceutical analysis: Trends, advancements, and applications. European Journal of Pharmaceutical Sciences. 212. 107175–107175. 6 indexed citations
2.
Kanwal, Madiha, et al.. (2024). Heterogeneous Response of Tumor Cell Lines to Inhibition of Aspartate β-hydroxylase. Journal of Cancer. 15(11). 3466–3480. 4 indexed citations
3.
Kanwal, Madiha, et al.. (2024). Aspartate β-hydroxylase Regulates Expression of Ly6 Genes. Journal of Cancer. 15(5). 1138–1152. 1 indexed citations
4.
Cook, Sarah, et al.. (2021). Investigation of monotherapy and combined anticoronaviral therapies against feline coronavirus serotype II in vitro. Journal of Feline Medicine and Surgery. 24(10). 943–953. 15 indexed citations
5.
Olsen, Mark, et al.. (2021). Streptozotocin-Induced Astrocyte Mitochondrial Dysfunction Is Ameliorated by FTO Inhibitor MO-I-500. ACS Chemical Neuroscience. 12(20). 3818–3828. 23 indexed citations
6.
Benelli, Roberto, Delfina Costa, Luca Mastracci, et al.. (2020). Aspartate-β-Hydroxylase: A Promising Target to Limit the Local Invasiveness of Colorectal Cancer. Cancers. 12(4). 971–971. 13 indexed citations
7.
Kanwal, Madiha, Michal Šmahel, Mark Olsen, Jana Šmahelová, & Ruth Tachezy. (2020). Aspartate β-hydroxylase as a target for cancer therapy. Journal of Experimental & Clinical Cancer Research. 39(1). 163–163. 54 indexed citations
8.
Huang, Chiung-Kuei, Yoshifumi Iwagami, Arihiro Aihara, et al.. (2016). Anti-Tumor Effects of Second Generation β-Hydroxylase Inhibitors on Cholangiocarcinoma Development and Progression. PLoS ONE. 11(3). e0150336–e0150336. 33 indexed citations
9.
10.
Aihara, Arihiro, Chiung-Kuei Huang, Mark Olsen, et al.. (2014). A cell-surface β-hydroxylase is a biomarker and therapeutic target for hepatocellular carcinoma. Hepatology. 60(4). 1302–1313. 67 indexed citations
11.
Rowles, Joie & Mark Olsen. (2012). Perspectives on the Development of Antioxidant Antiepileptogenic Agents. Mini-Reviews in Medicinal Chemistry. 12(10). 1015–1027. 17 indexed citations
12.
Rowles, Joie, et al.. (2012). FTO, RNA epigenetics and epilepsy. Epigenetics. 7(10). 1094–1097. 29 indexed citations
13.
Lipovšek, Daša, Eugene Antipov, Mark Olsen, et al.. (2007). Selection of Horseradish Peroxidase Variants with Enhanced Enantioselectivity by Yeast Surface Display. Chemistry & Biology. 14(10). 1176–1185. 75 indexed citations
14.
Johns, Terrance G., Timothy E. Adams, Jennifer R. Cochran, et al.. (2004). Identification of the Epitope for the Epidermal Growth Factor Receptor-specific Monoclonal Antibody 806 Reveals That It Preferentially Recognizes an Untethered Form of the Receptor. Journal of Biological Chemistry. 279(29). 30375–30384. 118 indexed citations
15.
Cochran, Jennifer R., Yong‐Sung Kim, Mark Olsen, Rashna Bhandari, & K. Dane Wittrup. (2004). Domain-level antibody epitope mapping through yeast surface display of epidermal growth factor receptor fragments. Journal of Immunological Methods. 287(1-2). 147–158. 74 indexed citations
16.
Olsen, Mark, et al.. (2000). High-throughput screening of enzyme libraries. Current Opinion in Biotechnology. 11(4). 331–337. 103 indexed citations
17.
Olsen, Mark, et al.. (2000). Function-based isolation of novel enzymes from a large library. Nature Biotechnology. 18(10). 1071–1074. 123 indexed citations
18.
Daugherty, Patrick S., et al.. (1999). Development of an optimized expression system for the screening of antibody libraries displayed on the Escherichia coli surface. Protein Engineering Design and Selection. 12(7). 613–621. 111 indexed citations
19.
Daugherty, Patrick S., et al.. (1998). Antibody affinity maturation using bacterial surface display. Protein Engineering Design and Selection. 11(9). 825–832. 148 indexed citations
20.
Olsen, Mark. (1993). Critical theory and textual computing: Comments and suggestions. Computers and the Humanities. 27(5-6). 395–400. 2 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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