Simon Kling
Impact in
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- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
Papers in
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- Liver physiology and pathology 2
- Hepatocellular Carcinoma Treatment and Prognosis 1
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- Advanced Biosensing Techniques and Applications 2
- CRISPR and Genetic Engineering 1
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Thomas Stefan Worst (1 shared paper)Matthias Schulz (1 shared paper)Gry Helene Dihazi (1 shared paper)Kerstin Menck (1 shared paper)Gerrit Erdmann (1 shared paper)Claudia Rebecca Binder (1 shared paper)Julia Christina Gross (1 shared paper)Frank Streit (1 shared paper)
- Journals
- Nature Methods (1 paper)Nature Communications (1 paper)Archives of Toxicology (1 paper)Biological Chemistry (1 paper)Oncotarget (1 paper)
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Simon Kling
7 papers receiving 465 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 130
- Molecular Biology 337
- Immunology 68
- Immunology and Allergy 19
- Hepatology 24
Countries citing papers authored by Simon Kling
This map shows the geographic impact of Simon Kling'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 Simon Kling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Kling more than expected).
Fields of papers citing papers by Simon Kling
This network shows the impact of papers produced by Simon Kling. 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 Simon Kling. The network helps show where Simon Kling may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Kling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 279 | |
| 2 | 2016 | 86 | |
| 3 | 2017 | 57 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 4 |
About Simon Kling
Simon Kling is a scholar working on Hepatology, Molecular Biology, Biophysics, Pharmacology and Cancer Research, having authored 7 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (2 papers), Liver physiology and pathology (2 papers), CRISPR and Genetic Engineering (1 paper), Cancer Mechanisms and Therapy (1 paper), Gene expression and cancer classification (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Pluripotent Stem Cells Research (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Cancer Research (130 citations), Molecular Biology (337 citations), Immunology (68 citations), Immunology and Allergy (19 citations) and Hepatology (24 citations). Simon Kling has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Thomas Stefan Worst, Matthias Schulz, Gry Helene Dihazi, Kerstin Menck, Gerrit Erdmann, Claudia Rebecca Binder, Julia Christina Gross, Frank Streit, Michael Boutros and Markus F. Templin. Their work appears in journals such as Nature Methods, Nature Communications, Archives of Toxicology, Biological Chemistry and Oncotarget.
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.