Mark Kühnel
Impact in
- Structural Biology top 5%
- Immunology top 10%
- Immune cells in cancer
- Phagocytosis and Immune Regulation
Papers in
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 6
- Neonatal Respiratory Health Research 4
- Co-authors
- Gareth Griffiths (3 shared papers)Elsa Anes (3 shared papers)Danny Jonigk (36 shared papers)Anja Habermann (1 shared paper)José Moniz‐Pereira (1 shared paper)Thomas Giese (1 shared paper)Richard Sparla (2 shared papers)Robert Ehehalt (2 shared papers)
- Journals
- Stem Cell Reports (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Cancers (2 papers)Cells (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Mark Kühnel
54 papers receiving 1.7k citations
Mark Kühnel's Hit Papers
Peers
Comparison fields: 5 of 129
- Structural Biology 31
- Immunology 343
- Molecular Biology 709
- Radiation 86
- Infectious Diseases 179
Countries citing papers authored by Mark Kühnel
This map shows the geographic impact of Mark Kühnel'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 Mark Kühnel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kühnel more than expected).
Fields of papers citing papers by Mark Kühnel
This network shows the impact of papers produced by Mark Kühnel. 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 Mark Kühnel. The network helps show where Mark Kühnel may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Kühnel, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 246 | |
| 2 | 2003 | 227 | |
| 3 | Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography Hit paper breakdown → | 2021 | 162 |
| 4 | 2015 | 145 | |
| 5 | 2018 | 111 | |
| 6 | 2014 | 66 | |
| 7 | 2007 | 60 | |
| 8 | 2020 | 60 | |
| 9 | 2019 | 46 | |
| 10 | 2016 | 46 | |
| 11 | 2018 | 45 | |
| 12 | 2014 | 36 | |
| 13 | 2020 | 32 | |
| 14 | 2019 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2012 | 29 | |
| 17 | 2024 | 27 | |
| 18 | 2021 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2017 | 23 |
About Mark Kühnel
Mark Kühnel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Oncology and Surgery, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Neonatal Respiratory Health Research (4 papers), Mesenchymal stem cell research (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Advanced X-ray Imaging Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Structural Biology (31 citations), Immunology (343 citations), Molecular Biology (709 citations), Radiation (86 citations) and Infectious Diseases (179 citations). Mark Kühnel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gareth Griffiths, Elsa Anes, Danny Jonigk, Anja Habermann, José Moniz‐Pereira, Thomas Giese, Richard Sparla, Robert Ehehalt, Jerrold R. Turner and Irina Treede. Their work appears in journals such as Stem Cell Reports, Scientific Reports, Nature Communications, Cancers and Cells.
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.