Michael Ott

19.1k total citations · 1 hit paper
124 papers, 5.2k citations indexed

About

Michael Ott is a scholar working on Molecular Biology, Hepatology and Surgery. According to data from OpenAlex, Michael Ott has authored 124 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 56 papers in Hepatology and 34 papers in Surgery. Recurrent topics in Michael Ott's work include Liver physiology and pathology (42 papers), Pancreatic function and diabetes (21 papers) and Pluripotent Stem Cells Research (18 papers). Michael Ott is often cited by papers focused on Liver physiology and pathology (42 papers), Pancreatic function and diabetes (21 papers) and Pluripotent Stem Cells Research (18 papers). Michael Ott collaborates with scholars based in Germany, United States and Switzerland. Michael Ott's co-authors include Michael P. Manns, Tobias Cantz, Alexandros Stamatakis, Amar Deep Sharma, Sanjeev Gupta, Qinggong Yuan, Asha Balakrishnan, Eike Steinmann, Heiner Wedemeyer and Thomas Pietschmann and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Michael Ott

117 papers receiving 5.1k citations

Hit Papers

Assessing the root of bilaterian animals with scalable ph... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ott Germany 43 2.2k 1.5k 1.2k 732 565 124 5.2k
Naoki Yamanaka Japan 47 2.2k 1.0× 2.1k 1.4× 1.5k 1.3× 1.1k 1.5× 1.2k 2.0× 258 7.9k
David A. Shafritz United States 52 3.4k 1.6× 4.9k 3.2× 2.8k 2.4× 3.6k 4.9× 770 1.4× 145 9.7k
Ana M. Rojas Spain 37 2.3k 1.0× 199 0.1× 526 0.4× 311 0.4× 350 0.6× 114 5.2k
Matthew J. Brauer United States 17 2.4k 1.1× 872 0.6× 78 0.1× 847 1.2× 365 0.6× 24 4.1k
Matthew S. Sachs United States 44 5.9k 2.7× 1.1k 0.7× 665 0.6× 408 0.6× 750 1.3× 121 8.2k
Holger Sültmann Germany 45 6.1k 2.8× 568 0.4× 403 0.3× 1.0k 1.4× 648 1.1× 154 9.7k
Joseph Locker United States 50 3.6k 1.7× 912 0.6× 1.2k 1.0× 1.1k 1.5× 754 1.3× 176 8.4k
Lisa N. Kinch United States 45 5.1k 2.3× 116 0.1× 773 0.7× 1.4k 2.0× 825 1.5× 139 8.8k
Takahiro Nakamura Japan 49 5.5k 2.5× 437 0.3× 426 0.4× 235 0.3× 613 1.1× 190 7.9k
Christian Schwabe United States 38 785 0.4× 712 0.5× 475 0.4× 875 1.2× 169 0.3× 181 4.5k

Countries citing papers authored by Michael Ott

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ott

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ott. A scholar is included among the top collaborators of Michael Ott 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 Ott. Michael Ott 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.
Hu, Yongfeng, Tobias L. Roß, Michael Ott, et al.. (2025). Longitudinal multi-tracer imaging of hepatocellular carcinoma identifies novel stage- and oncogene-specific changes. Nuclear Medicine and Biology. 144-145. 109000–109000. 1 indexed citations
2.
Ott, Michael, et al.. (2024). A transposable element prevents severe hemophilia B and provides insights into the evolution of new- and old world primates. PLoS ONE. 19(10). e0312303–e0312303. 1 indexed citations
3.
Hu, Yongfeng, Hsin-Chieh Tsay, Qinggong Yuan, et al.. (2024). MicroRNA miR-20a-5p targets CYCS to inhibit apoptosis in hepatocellular carcinoma. Cell Death and Disease. 15(6). 456–456. 10 indexed citations
4.
Li, Ruomeng, Asha Balakrishnan, Michael Ott, & Amar Deep Sharma. (2023). Bioartificial liver with reprogrammed hepatocytes ready for prime time. Cell stem cell. 30(5). 504–506.
5.
Meumann, Nadja, Christian Schmithals, Tanja Hansen, et al.. (2022). Hepatocellular Carcinoma Is a Natural Target for Adeno-Associated Virus (AAV) 2 Vectors. Cancers. 14(2). 427–427. 7 indexed citations
6.
Chung, Bomee, Qinggong Yuan, Tibor Kempf, et al.. (2022). In vivo adenine base editing reverts C282Y and improves iron metabolism in hemochromatosis mice. Nature Communications. 13(1). 5215–5215. 10 indexed citations
7.
Shi, Xuan, Taotao Liu, Xiang‐Nan Yu, et al.. (2020). microRNA-93-5p promotes hepatocellular carcinoma progression via a microRNA-93-5p/MAP3K2/c-Jun positive feedback circuit. Oncogene. 39(35). 5768–5781. 41 indexed citations
8.
Werwitzke, Sonja, Aurélie Goyenvalle, Annemieke Aartsma‐Rus, et al.. (2020). Pathological mechanism and antisense oligonucleotide-mediated rescue of a non-coding variant suppressing factor 9 RNA biogenesis leading to hemophilia B. PLoS Genetics. 16(4). e1008690–e1008690. 5 indexed citations
9.
Xie, Yu, Hang Zhang, Xingjun Guo, et al.. (2018). Let-7c inhibits cholangiocarcinoma growth but promotes tumor cell invasion and growth at extrahepatic sites. Cell Death and Disease. 9(2). 249–249. 24 indexed citations
10.
Tsay, Hsin-Chieh, Qinggong Yuan, Asha Balakrishnan, et al.. (2018). Hepatocyte-specific suppression of microRNA-221-3p mitigates liver fibrosis. Journal of Hepatology. 70(4). 722–734. 43 indexed citations
11.
Sgodda, Malte, Zhen Dai, Robert Zweigerdt, et al.. (2017). A Scalable Approach for the Generation of Human Pluripotent Stem Cell-Derived Hepatic Organoids with Sensitive Hepatotoxicity Features. Stem Cells and Development. 26(20). 1490–1504. 43 indexed citations
12.
Berneman, Zwi, Eytan Mor, Alessia Fornoni, et al.. (2014). The Temporal and Hierarchical Control of Transcription Factors-Induced Liver to Pancreas Transdifferentiation. PLoS ONE. 9(2). e87812–e87812. 49 indexed citations
13.
Abel, Tobias, Irene C. Schneider, Qinggong Yuan, et al.. (2013). Specific gene delivery to liver sinusoidal and artery endothelial cells. Blood. 122(12). 2030–2038. 44 indexed citations
14.
Ott, Michael, et al.. (2012). An envelope tracking system using a GaAs Class-AB power amplifier and a Class-AD modulator. German Microwave Conference. 1–4.
15.
Bieback, Karen, Patrick Wuchter, Daniel Besser, et al.. (2012). Mesenchymal stromal cells (MSCs): science and f(r)iction. Journal of Molecular Medicine. 90(7). 773–782. 46 indexed citations
16.
Ott, Michael, et al.. (2011). An 8 W GaAs Class-AB amplifier for operation in envelope tracking systems. German Microwave Conference. 1–4. 5 indexed citations
17.
Wu, Guangming, Na Liu, Malte Sgodda, et al.. (2011). Generation of Healthy Mice from Gene-Corrected Disease-Specific Induced Pluripotent Stem Cells. PLoS Biology. 9(7). e1001099–e1001099. 38 indexed citations
18.
Ciesek, Sandra, Thomas von Hahn, Che C. Colpitts, et al.. (2010). The green tea polyphenol, epigallocatechin-3-gallate, inhibits hepatitis C virus entry. Hepatology. 54(6). 1947–1955. 247 indexed citations
20.
Ott, Michael, et al.. (1990). Identical genes for trimethoprim‐resistant dihydrofolate reductase from Staphylococcus aureus in Australia and Central Europe. FEBS Letters. 266(1-2). 159–162. 24 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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