Daniela Litscher
Impact in
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- Acupuncture Treatment Research Studies
- Traditional Chinese Medicine Studies
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- Laser Applications in Dentistry and Medicine
- Infrared Thermography in Medicine
Papers in
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- Acupuncture Treatment Research Studies 31
- Traditional Chinese Medicine Studies 5
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- Laser Applications in Dentistry and Medicine 17
- Co-authors
- Gerhard Litscher (56 shared papers)Lu Wang (26 shared papers)Ingrid Gaischek (24 shared papers)Feng-Xia Liang (4 shared papers)Frank R. Bahr (5 shared papers)Qing Shu (4 shared papers)Xian Shi (3 shared papers)Sen Hu (3 shared papers)
In The Last Decade
Daniela Litscher
58 papers receiving 551 citations
Peers
Comparison fields: 5 of 64
- Complementary and alternative medicine 305
- Radiology, Nuclear Medicine and Imaging 139
- Neurology 27
- Sensory Systems 14
- Endocrine and Autonomic Systems 11
Countries citing papers authored by Daniela Litscher
This map shows the geographic impact of Daniela Litscher'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 Daniela Litscher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Litscher more than expected).
Fields of papers citing papers by Daniela Litscher
This network shows the impact of papers produced by Daniela Litscher. 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 Daniela Litscher. The network helps show where Daniela Litscher may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Litscher, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 65 | |
| 2 | 2013 | 33 | |
| 3 | 2013 | 23 | |
| 4 | 2015 | 23 | |
| 5 | 2018 | 21 | |
| 6 | 2015 | 20 | |
| 7 | 2010 | 18 | |
| 8 | 2013 | 17 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2014 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2013 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2013 | 13 | |
| 18 | 2014 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2019 | 12 |
About Daniela Litscher
Daniela Litscher is a scholar working on Complementary and alternative medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Hematology and Cancer Research, having authored 61 papers that have together received 589 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (31 papers), Laser Applications in Dentistry and Medicine (17 papers), Traditional Chinese Medicine Studies (5 papers), Knee injuries and reconstruction techniques (4 papers), Heart Rate Variability and Autonomic Control (2 papers), Biofield Effects and Biophysics (2 papers), Malaria Research and Control (2 papers) and Phytochemical compounds biological activities (2 papers). The work is most often cited by research in Complementary and alternative medicine (305 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Neurology (27 citations), Sensory Systems (14 citations) and Endocrine and Autonomic Systems (11 citations). Daniela Litscher has collaborated with scholars based in Austria, China and Romania. Frequent co-authors include Gerhard Litscher, Lu Wang, Ingrid Gaischek, Feng-Xia Liang, Frank R. Bahr, Qing Shu, Xian Shi, Sen Hu, Constantin Ailioaie and Lidian Chen. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Chinese Journal of Integrative Medicine, Scientific Reports, BMC Neuroscience and Neural Plasticity.
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.