Bianka Schulz

1.1k total citations
56 papers, 736 citations indexed

About

Bianka Schulz is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Microbiology. According to data from OpenAlex, Bianka Schulz has authored 56 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 17 papers in Epidemiology and 15 papers in Microbiology. Recurrent topics in Bianka Schulz's work include Microbial infections and disease research (13 papers), Veterinary Oncology Research (12 papers) and Asthma and respiratory diseases (12 papers). Bianka Schulz is often cited by papers focused on Microbial infections and disease research (13 papers), Veterinary Oncology Research (12 papers) and Asthma and respiratory diseases (12 papers). Bianka Schulz collaborates with scholars based in Germany, United States and United Kingdom. Bianka Schulz's co-authors include Katrin Hartmann, Ralf S. Mueller, Karin Weber, Pedro Diniz, Edward B. Breitschwerdt, Georg Wolf, Craig E. Greene, Herman Egberink, Werner Eichhorn and Anand N. Vidyashankar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Bianka Schulz

48 papers receiving 705 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bianka Schulz Germany 17 256 247 151 151 117 56 736
Julia K. Veir United States 18 250 1.0× 167 0.7× 137 0.9× 132 0.9× 91 0.8× 27 650
Lucjan Witkowski Poland 17 267 1.0× 277 1.1× 95 0.6× 77 0.5× 75 0.6× 92 1.0k
Caroline Argenta Pescador Brazil 18 282 1.1× 220 0.9× 99 0.7× 106 0.7× 46 0.4× 94 980
Roselene Ecco Brazil 16 287 1.1× 163 0.7× 67 0.4× 105 0.7× 55 0.5× 110 835
Daniela Proverbio Italy 19 286 1.1× 223 0.9× 152 1.0× 62 0.4× 60 0.5× 88 1.1k
Michał Czopowicz Poland 20 341 1.3× 301 1.2× 201 1.3× 111 0.7× 143 1.2× 197 1.5k
Katrina L. Bosward Australia 23 180 0.7× 370 1.5× 190 1.3× 294 1.9× 64 0.5× 55 1.2k
Harriet W. Brooks United Kingdom 18 264 1.0× 342 1.4× 175 1.2× 196 1.3× 61 0.5× 33 937
Tsang Long Lin United States 20 450 1.8× 337 1.4× 134 0.9× 107 0.7× 152 1.3× 63 1.2k
Fabrizio Passamonti Italy 20 239 0.9× 414 1.7× 79 0.5× 91 0.6× 50 0.4× 96 1.1k

Countries citing papers authored by Bianka Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Bianka Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianka Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Bianka Schulz. A scholar is included among the top collaborators of Bianka Schulz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bianka Schulz. Bianka Schulz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Palić, Jelena, et al.. (2024). Influence of acclimatization time on barometric whole-body plethysmography in cats with lower airway disease. Journal of Veterinary Internal Medicine. 38(5). 2654–2663. 1 indexed citations
2.
Zablotski, Yury, et al.. (2024). Online-Assisted Survey on Antibiotic Use by Pet Owners in Dogs and Cats. Antibiotics. 13(5). 382–382. 2 indexed citations
3.
Zablotski, Yury, et al.. (2024). Influence of acclimatization time on parameters of barometric whole-body plethysmography in healthy adult cats. PLoS ONE. 19(3). e0299252–e0299252. 1 indexed citations
4.
Richter, Petra, et al.. (2023). Intradermal testing and serum allergen-specific IgE-testing in cats with naturally occurring feline bronchial disease. Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere. 51(6). 403–410. 1 indexed citations
5.
Palić, Jelena, et al.. (2023). Serum Allergen-Specific Immunoglobulin E in Cats with Inflammatory Bronchial Disease. Animals. 13(20). 3226–3226. 1 indexed citations
6.
Hirschberger, Johannes, et al.. (2023). Evaluation of long-term therapy in cats with feline asthma and chronic bronchitis. Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere. 51(2). 73–81.
7.
Zablotski, Yury, et al.. (2023). Factors influencing the response to therapy in dogs with eosinophilic bronchopneumopathy. Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere. 51(1). 15–21.
8.
Zablotski, Yury, et al.. (2023). Correlation of clinical and radiographic variables in cats with lower airway disease. Journal of Veterinary Internal Medicine. 37(6). 2443–2452. 1 indexed citations
9.
Werner, Melanie, Karin Weber, Jelena Palić, et al.. (2023). Comparison of the respiratory bacterial microbiome in cats with feline asthma and chronic bronchitis. Frontiers in Veterinary Science. 10. 1148849–1148849. 2 indexed citations
10.
Zablotski, Yury, et al.. (2022). Evaluation of barometric whole-body plethysmography for therapy monitoring in cats with feline lower airway disease. PLoS ONE. 17(10). e0276927–e0276927. 7 indexed citations
11.
Schulz, Bianka, et al.. (2020). Prevalence of Bordetella bronchiseptica in dogs with respiratory disease. SHILAP Revista de lepidopterología. 133. 1 indexed citations
12.
Day, Michael, Stephan A. Carey, Cécile Clercx, et al.. (2020). Aetiology of Canine Infectious Respiratory Disease Complex and Prevalence of its Pathogens in Europe. Journal of Comparative Pathology. 176. 86–108. 39 indexed citations
13.
Schulz, Bianka, et al.. (2018). Eosinophile Bronchopneumopathie des Hundes. Kleintierpraxis. 63. 1 indexed citations
14.
Suchodolski, Jan S., et al.. (2017). Bacterial microbiome of the nose of healthy dogs and dogs with nasal disease. PLoS ONE. 12(5). e0176736–e0176736. 36 indexed citations
15.
Suchodolski, Jan S., et al.. (2017). Bacterial microbiome in the nose of healthy cats and in cats with nasal disease. PLoS ONE. 12(6). e0180299–e0180299. 32 indexed citations
16.
Hartmann, Katrin, et al.. (2016). Systemic Acremonium species infection in a dog. Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere. 44(6). 424–428. 4 indexed citations
17.
Schulz, Bianka, et al.. (2014). Prevalence of canine influenza virus A (H3N8) in dogs in Germany. The Veterinary Journal. 202(1). 184–185. 13 indexed citations
18.
Schulz, Bianka, et al.. (2014). Detection of respiratory viruses and Bordetella bronchiseptica in dogs with acute respiratory tract infections. The Veterinary Journal. 201(3). 365–369. 68 indexed citations
19.
Hecht, Silke, et al.. (2010). Use of Propentofylline in Feline Bronchial Disease: Prospective, Randomized, Positive-Controlled Study. Journal of the American Animal Hospital Association. 46(5). 318–326. 5 indexed citations
20.
Unterer, Stefan & Bianka Schulz. (2009). Chylothorax in small animals - pathophysiology, causes and therapy.. Kleintierpraxis. 54(3). 164–172.

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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