Moritz Hess
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
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- Skin and Cellular Biology Research
Papers in
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- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 4
- Molecular Biology Techniques and Applications 2
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- Skin and Cellular Biology Research 6
- Co-authors
- Harald Binder (16 shared papers)Stefan Lenz (4 shared papers)Peter R. Galle (3 shared papers)Detlef Schuppan (2 shared papers)Jens U. Marquardt (2 shared papers)Ernesto Bockamp (1 shared paper)Friedrich Foerster (1 shared paper)Diana Becker (1 shared paper)
- Journals
- Scientific Reports (4 papers)British Journal of Dermatology (3 papers)Briefings in Bioinformatics (3 papers)Molecular Medicine (3 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Moritz Hess
28 papers receiving 365 citations
Peers
Comparison fields: 5 of 79
- Hepatology 27
- Cell Biology 47
- Cancer Research 40
- Immunology 56
- Oncology 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 30 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 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2016 | 12 | |
| 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, Cell Biology, Immunology, Genetics and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 369 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (6 papers), Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (4 papers), Plant Water Relations and Carbon Dynamics (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Immune Cell Function and Interaction (2 papers), Molecular Biology Techniques and Applications (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Hepatology (27 citations), Cell Biology (47 citations), Cancer Research (40 citations), Immunology (56 citations) and Oncology (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, Jens U. Marquardt, Ernesto Bockamp, Friedrich Foerster, Diana Becker, Aslihan Gerhold‐Ay and Ingo Ensminger. Their work appears in journals such as Scientific Reports, British Journal of Dermatology, Briefings in Bioinformatics, Molecular Medicine and PLoS ONE.
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.