Nina Eberle

32 papers receiving 633 citations

Peers

Nina Eberle
Comparison fields: 5 of 77
  • Pulmonary and Respiratory Medicine 361
  • Small Animals 91
  • Clinical Biochemistry 50
  • Occupational Therapy 23
  • Equine 7
Replace Toshiharu Hayashi with:
Toshiharu Hayashi Japan
A.E. Jergens United States
Lise Nikolic Nielsen Denmark
W. H. Halliwell United States
Thomas A. Cave United Kingdom
Mary McElroy United Kingdom
Ana Margarida Miguel Ferreira Nogueira Brazil
Margaret A. M. Turk United States
Cooper Jf
Huihui Zeng China
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Citations per field
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Citations per year

Countries citing papers authored by Nina Eberle

Since Specialization
Citations

This map shows the geographic impact of Nina 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 Nina Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Eberle more than expected).

Fields of papers citing papers by Nina Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina 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 Nina Eberle. The network helps show where Nina Eberle may publish in the future.

Co-authors

The 25 scholars most cited alongside Nina Eberle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nina Eberle Line = papers co-authored together Nina Eberle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201487
2 200686
3 200873
4 201044
5 200840
6 201433
7 201030
8 201428
9 201222
10 200719
11 200719
12 201419
13 201619
14 200618
15
High-mobility group B1 (HMGB1) and receptor for advanced glycation end-products (RAGE) expression in canine lymphoma.
201016
16 201016
17 201216
18
Quantitative PCR and immunohistochemical analyses of HMGB1 and RAGE expression in canine disseminated histiocytic sarcoma (malignant histiocytosis).
201115
19 201215
20 201014

About Nina Eberle

Nina Eberle is a scholar working on Pulmonary and Respiratory Medicine, Clinical Biochemistry, Occupational Therapy, Small Animals and Otorhinolaryngology, having authored 35 papers that have together received 693 indexed citations. Recurring topics across this work include Veterinary Oncology Research (27 papers), Safe Handling of Antineoplastic Drugs (3 papers), Advanced Glycation End Products research (3 papers), Pesticide Residue Analysis and Safety (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Veterinary Orthopedics and Neurology (1 paper), Head and Neck Cancer Studies (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (361 citations), Small Animals (91 citations), Clinical Biochemistry (50 citations), Occupational Therapy (23 citations) and Equine (7 citations). Nina Eberle has collaborated with scholars based in Germany, Colombia and Austria. Frequent co-authors include Ingo J. A. Nolte, Daniela Simón, Jörn Bullerdiek, Hugo Murua Escobar, Johannes Hirschberger, Saskia Willenbrock, Hans‐Joachim Schuberth, Reinhard H. Mischke, K. Langner and Mirja Koy. Their work appears in journals such as Veterinary and Comparative Oncology, Journal of Veterinary Internal Medicine, BMC Veterinary Research, Cytogenetic and Genome Research and Gene.

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.

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