Michael Ohh

14.9k total citations · 3 hit papers
99 papers, 11.2k citations indexed

About

Michael Ohh is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Michael Ohh has authored 99 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 72 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Michael Ohh's work include Cancer, Hypoxia, and Metabolism (67 papers), Ubiquitin and proteasome pathways (20 papers) and RNA modifications and cancer (16 papers). Michael Ohh is often cited by papers focused on Cancer, Hypoxia, and Metabolism (67 papers), Ubiquitin and proteasome pathways (20 papers) and RNA modifications and cancer (16 papers). Michael Ohh collaborates with scholars based in Canada, United States and Japan. Michael Ohh's co-authors include William G. Kaelin, Mircea Ivan, Keiichi Kondo, William S. Lane, William Kim, Adrian Salic, John M. Asara, Haifeng Yang, Mindy A. Maynard and Vincent Chau and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Ohh

96 papers receiving 11.0k citations

Hit Papers

HIFα Targeted for VHL-Mediated Destruction by Proline Hyd... 1998 2026 2007 2016 2001 2000 1998 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ohh Canada 44 7.7k 6.9k 1.7k 1.4k 1.4k 99 11.2k
Mircea Ivan United States 37 8.3k 1.1× 8.3k 1.2× 1.3k 0.7× 1.4k 1.0× 922 0.7× 80 11.9k
Panu Jaakkola Finland 28 6.4k 0.8× 7.0k 1.0× 1.0k 0.6× 1.7k 1.2× 900 0.7× 64 10.2k
David R. Mole United Kingdom 41 9.0k 1.2× 9.8k 1.4× 1.2k 0.7× 2.2k 1.6× 1.5k 1.1× 69 14.1k
Brian Keith United States 44 7.5k 1.0× 6.8k 1.0× 3.4k 2.0× 1.7k 1.2× 1.3k 1.0× 65 13.7k
Eric Huang United States 38 6.2k 0.8× 6.1k 0.9× 1.3k 0.7× 1.4k 1.0× 688 0.5× 99 10.0k
Ya‐Min Tian United Kingdom 25 7.1k 0.9× 8.1k 1.2× 846 0.5× 2.0k 1.4× 752 0.6× 32 11.2k
Othon Iliopoulos United States 35 5.9k 0.8× 4.8k 0.7× 1.4k 0.8× 524 0.4× 1.5k 1.1× 94 8.9k
Michael I. Lerman United States 61 10.2k 1.3× 4.3k 0.6× 2.6k 1.5× 1.6k 1.1× 2.9k 2.1× 165 14.5k
Alex von Kriegsheim United Kingdom 38 5.8k 0.8× 4.0k 0.6× 1.3k 0.7× 1.1k 0.8× 631 0.5× 120 9.2k
Edurne Berra France 43 6.0k 0.8× 4.7k 0.7× 1.1k 0.6× 1.1k 0.8× 473 0.3× 69 9.4k

Countries citing papers authored by Michael Ohh

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ohh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ohh

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ohh. A scholar is included among the top collaborators of Michael Ohh 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 Michael Ohh. Michael Ohh 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.
Stuart, Sarah, et al.. (2024). Cathepsins L and B target HIF1α for oxygen-independent proteolytic cleavage. Scientific Reports. 14(1). 14799–14799.
2.
Yu, Pei, Hisham M. Ibrahim, Corey A. Scipione, et al.. (2023). Oxidized Low-Density Lipoprotein Accumulation Suppresses Glycolysis and Attenuates the Macrophage Inflammatory Response by Diverting Transcription from the HIF-1α to the Nrf2 Pathway. The Journal of Immunology. 211(10). 1561–1577. 15 indexed citations
3.
Robinson, Claire M., et al.. (2020). NRAS Status Determines Sensitivity to SHP2 Inhibitor Combination Therapies Targeting the RAS–MAPK Pathway in Neuroblastoma. Cancer Research. 80(16). 3413–3423. 47 indexed citations
4.
Lee, Jeffrey E., et al.. (2019). Evolution of metazoan oxygen-sensing involved a conserved divergence of VHL affinity for HIF1α and HIF2α. Nature Communications. 10(1). 3293–3293. 20 indexed citations
5.
Robinson, Claire M., François Lefebvre, Betty Poon, et al.. (2018). Consequences of VHL Loss on Global DNA Methylome. Scientific Reports. 8(1). 3313–3313. 12 indexed citations
6.
Ohh, Michael, et al.. (2017). The HIF and other quandaries in VHL disease. Oncogene. 37(2). 139–147. 60 indexed citations
7.
Heir, Pardeep, Tharan Srikumar, George Bikopoulos, et al.. (2016). Oxygen-dependent Regulation of Erythropoietin Receptor Turnover and Signaling. Journal of Biological Chemistry. 291(14). 7357–7372. 25 indexed citations
8.
Robinson, Claire M. & Michael Ohh. (2014). The multifaceted von Hippel–Lindau tumour suppressor protein. FEBS Letters. 588(16). 2704–2711. 70 indexed citations
9.
Bunda, Severa, Michelle Kang, Stephanie S. Sybingco, et al.. (2013). Inhibition of SRC Corrects GM-CSF Hypersensitivity That Underlies Juvenile Myelomonocytic Leukemia. Cancer Research. 73(8). 2540–2550. 22 indexed citations
10.
Ho, Jacqueline, Julie Metcalf, Matthew S. Yan, et al.. (2012). Functional Importance of Dicer Protein in the Adaptive Cellular Response to Hypoxia. Journal of Biological Chemistry. 287(34). 29003–29020. 130 indexed citations
11.
Olsson, Anna, H. Zhong, Rong Wang, et al.. (2010). Pediatrics. Modern Pathology. 23. 393–396. 1 indexed citations
12.
Roberts, Andrew M., Ian R. Watson, Andrew Evans, et al.. (2009). Suppression of Hypoxia-Inducible Factor 2α Restores p53 Activity via Hdm2 and Reverses Chemoresistance of Renal Carcinoma Cells. Cancer Research. 69(23). 9056–9064. 67 indexed citations
13.
Toschi, Alfredo, Evan Lee, Noga Gadir, Michael Ohh, & David A. Foster. (2008). Differential Dependence of Hypoxia-inducible Factors 1α and 2α on mTORC1 and mTORC2. Journal of Biological Chemistry. 283(50). 34495–34499. 239 indexed citations
14.
Koeman, Julie, Ryan C. Russell, Min‐Han Tan, et al.. (2008). Correction: Somatic Pairing of Chromosome 19 in Renal Oncocytoma Is Associated with Deregulated EGLN2-Mediated Oxygen-Sensing Response. PLoS Genetics. 4(9). 3 indexed citations
15.
Fish, Jason E., et al.. (2007). Hypoxia-inducible Expression of a Natural cis-Antisense Transcript Inhibits Endothelial Nitric-oxide Synthase. Journal of Biological Chemistry. 282(21). 15652–15666. 118 indexed citations
16.
Maynard, Mindy A., et al.. (2005). Human HIF‐3α4 is a dominant‐negative regulator of HIF‐1 and is down‐regulated in renal cell carcinoma. The FASEB Journal. 19(11). 1396–1406. 161 indexed citations
17.
Ohh, Michael, et al.. (2005). Molecular Targets from VHL Studies into the Oxygen-Sensing Pathway. Current Cancer Drug Targets. 5(5). 345–356. 16 indexed citations
18.
Maynard, Mindy A., Heng Qi, Jacky Chung, et al.. (2003). Multiple Splice Variants of the Human HIF-3α Locus Are Targets of the von Hippel-Lindau E3 Ubiquitin Ligase Complex. Journal of Biological Chemistry. 278(13). 11032–11040. 223 indexed citations
19.
Ohh, Michael, et al.. (1999). The von Hippel–Lindau tumour suppressor protein: new perspectives. Molecular Medicine Today. 5(6). 257–263. 61 indexed citations
20.
Ohh, Michael, Yuichiro Takagi, Teijiro Aso, et al.. (1999). Synthetic peptides define critical contacts between elongin C, elongin B, and the von Hippel-Lindau protein. Journal of Clinical Investigation. 104(11). 1583–1591. 86 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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