Danika L. Bannasch
- Equine top 0.5%
- Veterinary Equine Medical Research 13
- Small Animals top 0.5%
- Veterinary Orthopedics and Neurology 11
- Veterinary Medicine and Surgery 11
- Genetics top 2%
- Human-Animal Interaction Studies 13
- Genetic and phenotypic traits in livestock 11
- Connective tissue disorders research 10
- Molecular Biology top 5%
- Neurology top 5%
- Neurological diseases and metabolism 9
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- Veterinary Oncology Research 11
- Co-authors
- Thomas R. FamulaPeter J. DickinsonMin Li‐WeberSylvia WilderMoshe OrenScott L. FriedmanPeter R. GallePeter H. Krammer
- Cited by
- EquineSmall AnimalsGenetics
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Danika L. Bannasch
104 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Equine 277
- Small Animals 568
- Genetics 1.2k
- Molecular Biology 1.5k
- Neurology 140
Countries citing papers authored by Danika L. Bannasch
This map shows the geographic impact of Danika L. Bannasch'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 Danika L. Bannasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danika L. Bannasch more than expected).
Fields of papers citing papers by Danika L. Bannasch
This network shows the impact of papers produced by Danika L. Bannasch. 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 Danika L. Bannasch. The network helps show where Danika L. Bannasch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danika L. Bannasch, 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 | 2023 | 2 | |
| 2 | 2022 | 11 | |
| 3 | 2020 | 12 | |
| 4 | 2019 | 42 | |
| 5 | 2018 | 58 | |
| 6 | 2017 | 98 | |
| 7 | 2017 | 32 | |
| 8 | 2017 | 10 | |
| 9 | 2016 | 45 | |
| 10 | 2016 | 42 | |
| 11 | 2015 | 15 | |
| 12 | 2014 | 44 | |
| 13 | 2013 | 113 | |
| 14 | 2012 | 25 | |
| 15 | 2008 | 86 | |
| 16 | 2006 | 2 | |
| 17 | 2006 | 6 | |
| 18 | 2004 | 5 | |
| 19 | 2004 | 14 | |
| 20 | 1999 | 32 |
About Danika L. Bannasch
Danika L. Bannasch is a scholar working on Equine, Small Animals and Genetics, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (13 papers), Human-Animal Interaction Studies (13 papers), Genetic and phenotypic traits in livestock (11 papers), Veterinary Orthopedics and Neurology (11 papers), Veterinary Oncology Research (11 papers), Veterinary Medicine and Surgery (11 papers), Connective tissue disorders research (10 papers) and Neurological diseases and metabolism (9 papers). The work is most often cited by research in Equine (277 citations), Small Animals (568 citations) and Genetics (1.2k citations). Danika L. Bannasch has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Thomas R. Famula, Peter J. Dickinson, Min Li‐Weber, Sylvia Wilder, Moshe Oren, Scott L. Friedman, Peter R. Galle, Peter H. Krammer, Martina Müller and Wolfgang Stremmel. Their work appears in journals such as PLoS Genetics, Genes, Journal of Veterinary Internal Medicine, PLoS ONE and American Journal of Veterinary Research.
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.