Moritz Hess
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Single-cell and spatial transcriptomics 6
- Gene expression and cancer classification 4
- DNA Repair Mechanisms 3
- Co-authors
- Harald Binder (16 shared papers)Stefan Lenz (4 shared papers)Peter R. Galle (3 shared papers)Detlef Schuppan (2 shared papers)Friedrich Foerster (1 shared paper)Jens U. Marquardt (2 shared papers)Ernesto Bockamp (1 shared paper)Diana Becker (1 shared paper)
- Journals
- Scientific Reports (4 papers)Molecular Medicine (3 papers)Briefings in Bioinformatics (3 papers)Bioinformatics (2 papers)British Journal of Dermatology (2 papers)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Moritz Hess
28 papers receiving 357 citations
Peers
Comparison fields: 5 of 83
- Hepatology 32
- Cancer Research 51
- Immunology 65
- Health Informatics 4
- Cell Biology 47
Countries citing papers authored by Moritz Hess
This map shows the geographic impact of Moritz Hess'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 Moritz Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Hess more than expected).
Fields of papers citing papers by Moritz Hess
This network shows the impact of papers produced by Moritz Hess. 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 Moritz Hess. The network helps show where Moritz Hess may publish in the future.
Co-authors
The 25 scholars most cited alongside Moritz Hess, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2019 | 40 | |
| 3 | 2016 | 24 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 23 | |
| 6 | 2016 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2015 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2018 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 4 |
About Moritz Hess
Moritz Hess is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 364 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Skin and Cellular Biology Research (5 papers), Effects of Radiation Exposure (4 papers), Gene expression and cancer classification (4 papers), DNA Repair Mechanisms (3 papers), Plant Water Relations and Carbon Dynamics (3 papers), Connective tissue disorders research (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Hepatology (32 citations), Cancer Research (51 citations), Immunology (65 citations), Health Informatics (4 citations) and Cell Biology (47 citations). Moritz Hess has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include Harald Binder, Stefan Lenz, Peter R. Galle, Detlef Schuppan, Friedrich Foerster, Jens U. Marquardt, Ernesto Bockamp, Diana Becker, Aslihan Gerhold‐Ay and Ingo Ensminger. Their work appears in journals such as Scientific Reports, Molecular Medicine, Briefings in Bioinformatics, Bioinformatics and British Journal of Dermatology.
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.