Tim Kehl
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Bioinformatics and Genomic Networks
- RNA Interference and Gene Delivery
Papers in ⓘ
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 6
- Co-authors
- Hans‐Peter Lenhof (24 shared papers)Eckart Meese (21 shared papers)Andreas Keller (20 shared papers)Christina Backes (10 shared papers)Tobias Fehlmann (6 shared papers)Fabian Kern (5 shared papers)Daniel Stöckel (9 shared papers)Nicole Ludwig (10 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Bioinformatics (5 papers)Scientific Reports (2 papers)International Journal of Cancer (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Tim Kehl
26 papers receiving 997 citations
Peers
Comparison fields: 5 of 111
- Cancer Research 595
- Molecular Biology 732
- Immunology 89
- Aging 6
- Biophysics 17
Countries citing papers authored by Tim Kehl
This map shows the geographic impact of Tim Kehl'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 Tim Kehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kehl more than expected).
Fields of papers citing papers by Tim Kehl
This network shows the impact of papers produced by Tim Kehl. 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 Tim Kehl. The network helps show where Tim Kehl may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Kehl, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 160 | |
| 2 | 2021 | 120 | |
| 3 | 2016 | 109 | |
| 4 | 2017 | 104 | |
| 5 | 2016 | 101 | |
| 6 | 2017 | 79 | |
| 7 | 2020 | 56 | |
| 8 | 2020 | 44 | |
| 9 | 2019 | 40 | |
| 10 | 2015 | 37 | |
| 11 | 2020 | 37 | |
| 12 | 2020 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2013 | 11 | |
| 17 | 2015 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2018 | 6 |
About Tim Kehl
Tim Kehl is a scholar working on Cancer Research, Biophysics, Molecular Biology, Computational Theory and Mathematics and Neurology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Bioinformatics and Genomic Networks (8 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers), Computational Drug Discovery Methods (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Cancer Research (595 citations), Molecular Biology (732 citations), Immunology (89 citations), Aging (6 citations) and Biophysics (17 citations). Tim Kehl has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Hans‐Peter Lenhof, Eckart Meese, Andreas Keller, Christina Backes, Tobias Fehlmann, Fabian Kern, Daniel Stöckel, Nicole Ludwig, Lara Schneider and Martin Hart. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Scientific Reports, International Journal of Cancer and Journal for ImmunoTherapy of Cancer.
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.