Tim Ruhl
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
-
- Mesenchymal stem cell research
Papers in
- Pharmacology 13
- Cannabis and Cannabinoid Research 11
- Surgery 12
- Pancreatic function and diabetes 5
- Tissue Engineering and Regenerative Medicine 5
- Co-authors
- Justus P. Beier (26 shared papers)Bong‐Sung Kim (13 shared papers)Gerhard von der Emde (4 shared papers)Önder Albayram (3 shared papers)András Bilkei‐Gorzó (3 shared papers)Norbert Pallua (5 shared papers)Gabriele Storti (3 shared papers)Beat Lutz (1 shared paper)
- Journals
- Experimental Cell Research (3 papers)European Journal of Neuroscience (2 papers)The FASEB Journal (2 papers)Plastic & Reconstructive Surgery (2 papers)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Tim Ruhl
35 papers receiving 545 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 183
- Genetics 77
- Cellular and Molecular Neuroscience 120
- Cell Biology 90
- Rehabilitation 32
Countries citing papers authored by Tim Ruhl
This map shows the geographic impact of Tim Ruhl'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 Ruhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Ruhl more than expected).
Fields of papers citing papers by Tim Ruhl
This network shows the impact of papers produced by Tim Ruhl. 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 Ruhl. The network helps show where Tim Ruhl may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Ruhl, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 71 | |
| 2 | 2015 | 41 | |
| 3 | 2020 | 39 | |
| 4 | 2021 | 37 | |
| 5 | 2016 | 34 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2014 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2020 | 20 | |
| 11 | 2015 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2021 | 10 |
About Tim Ruhl
Tim Ruhl is a scholar working on Pharmacology, Surgery, Genetics, Physiology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 555 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Cannabis and Cannabinoid Research (11 papers), Pancreatic function and diabetes (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Adipose Tissue and Metabolism (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Wound Healing and Treatments (4 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Pharmacology (183 citations), Genetics (77 citations), Cellular and Molecular Neuroscience (120 citations), Cell Biology (90 citations) and Rehabilitation (32 citations). Tim Ruhl has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Justus P. Beier, Bong‐Sung Kim, Gerhard von der Emde, Önder Albayram, András Bilkei‐Gorzó, Norbert Pallua, Gabriele Storti, Beat Lutz, Ermelinda Lomazzo and Raissa Lerner. Their work appears in journals such as Experimental Cell Research, European Journal of Neuroscience, The FASEB Journal, Plastic & Reconstructive Surgery and Journal of Pharmaceutical Sciences.
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.