N. Eberle
Impact in
- Small Animals top 2%
- Infectious Diseases and Mycology
- Veterinary Orthopedics and Neurology
- Equine top 5%
Papers in
-
- Veterinary Oncology Research 23
- Genetics 14
- Virus-based gene therapy research 11
- Co-authors
- Ingo Nölte (26 shared papers)Daniela Simón (14 shared papers)Johannes Hirschberger (2 shared papers)M. Killich (2 shared papers)Jörn Bullerdiek (11 shared papers)Hugo Murua Escobar (11 shared papers)Saskia Willenbrock (6 shared papers)Mirja Koy (1 shared paper)
In The Last Decade
N. Eberle
32 papers receiving 677 citations
Peers
Comparison fields: 5 of 93
- Small Animals 235
- Equine 26
- Microbiology 77
- Pulmonary and Respiratory Medicine 407
- Clinical Biochemistry 54
Countries citing papers authored by N. Eberle
This map shows the geographic impact of N. Eberle'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 N. Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Eberle more than expected).
Fields of papers citing papers by N. Eberle
This network shows the impact of papers produced by N. Eberle. 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 N. Eberle. The network helps show where N. Eberle may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Eberle, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 79 | |
| 2 | 2006 | 74 | |
| 3 | 2006 | 73 | |
| 4 | 2008 | 65 | |
| 5 | 2008 | 41 | |
| 6 | 2010 | 33 | |
| 7 | 2014 | 30 | |
| 8 | 2014 | 28 | |
| 9 | 2010 | 25 | |
| 10 | 2012 | 23 | |
| 11 | 2007 | 19 | |
| 12 | 2007 | 18 | |
| 13 | 2014 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2006 | 17 | |
| 16 | 2010 | 16 | |
| 17 | High-mobility group B1 (HMGB1) and receptor for advanced glycation end-products (RAGE) expression in canine lymphoma. | 2010 | 16 |
| 18 | 2012 | 15 | |
| 19 | Quantitative PCR and immunohistochemical analyses of HMGB1 and RAGE expression in canine disseminated histiocytic sarcoma (malignant histiocytosis). | 2011 | 15 |
| 20 | 2010 | 14 |
About N. Eberle
N. Eberle is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Small Animals, Molecular Biology and Clinical Biochemistry, having authored 35 papers that have together received 704 indexed citations. Recurring topics across this work include Veterinary Oncology Research (23 papers), Virus-based gene therapy research (11 papers), Infectious Diseases and Mycology (8 papers), Advanced Glycation End Products research (5 papers), Microbial infections and disease research (4 papers), Safe Handling of Antineoplastic Drugs (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Small Animals (235 citations), Equine (26 citations), Microbiology (77 citations), Pulmonary and Respiratory Medicine (407 citations) and Clinical Biochemistry (54 citations). N. Eberle has collaborated with scholars based in Germany, Hungary and Austria. Frequent co-authors include Ingo Nölte, Daniela Simón, Johannes Hirschberger, M. Killich, Jörn Bullerdiek, Hugo Murua Escobar, Saskia Willenbrock, Mirja Koy, Hans‐Joachim Schuberth and Reinhard Mischke. Their work appears in journals such as Veterinary and Comparative Oncology, Journal of Veterinary Internal Medicine, Gene, BMC Veterinary Research and Cytogenetic and Genome 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.