Michael Ott

19.1k citations
124 papers · 5.2k indexed · 1 hit paper · h-index 43

Michael Ott

117 papers receiving 5.1k citations

Hit Papers

Assessing the root of bilaterian animals with scalable ph...5552009202620142020100200300400500

Peers

Michael Ott
Comparison fields: 5 of 149
  • Hepatology 1.5k
  • Virology 224
  • Paleontology 320
  • Molecular Biology 2.2k
  • Cancer Research 462
Replace David A. Shafritz with:
David A. Shafritz United States
C. Geourjon France
Matthew J. Brauer United States
Takahiro Nakamura Japan
Jie Zheng United States
Gérard Pierron France
Holger Sültmann Germany
Licia Tomei Italy
Anthony D. Whetton United Kingdom
Toshiyuki Mori Japan
Michael Ott relative to David A. Shafritz United States David A. Shafritz's profile →
Citations per field
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David A. Shafritz · 1×
Citations per year

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

The 25 scholars most cited alongside Michael Ott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Ott Line = papers co-authored together Michael Ott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202410
3 20241
4 20230
5 202210
6 20227
7 202041
8 20205
9 201935
10 201843
11 201743
12 201344
13
An envelope tracking system using a GaAs Class-AB power amplifier and a Class-AD modulator
20120
14
An 8 W GaAs Class-AB amplifier for operation in envelope tracking systems
20115
15 2010247
16 200983
17 200560
18 200416
19 200011
20 199024

About Michael Ott

Michael Ott is a scholar working on Hepatology, Molecular Biology and Cancer Research, having authored 124 papers that have together received 5.2k indexed citations. Recurring topics across this work include Liver physiology and pathology (42 papers), Pancreatic function and diabetes (21 papers), Pluripotent Stem Cells Research (18 papers), Organ Transplantation Techniques and Outcomes (15 papers), Virus-based gene therapy research (14 papers), Liver Disease Diagnosis and Treatment (14 papers), MicroRNA in disease regulation (12 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Hepatology (1.5k citations), Virology (224 citations) and Paleontology (320 citations). Michael Ott has collaborated with scholars based in Germany, United States and Switzerland. Frequent 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. Their work appears in journals such as Journal of Hepatology, Hepatology, Cell Transplantation, The Journal of Infectious Diseases and American Journal Of Pathology.

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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