Timo Homeier

1.2k total citations · 1 hit paper
17 papers, 969 citations indexed

About

Timo Homeier is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Timo Homeier has authored 17 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 5 papers in Animal Science and Zoology and 5 papers in Genetics. Recurrent topics in Timo Homeier's work include Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (5 papers) and Viral Infections and Vectors (4 papers). Timo Homeier is often cited by papers focused on Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (5 papers) and Viral Infections and Vectors (4 papers). Timo Homeier collaborates with scholars based in Germany, Brazil and Austria. Timo Homeier's co-authors include Christa Ewers, Esther-Maria Antão, Claudia Laturnus, Ines Diehl, Hendrik Wilking, Uwe Truyen, André Felipe Streck, Lothar H. Wieler, Rudolf Preisinger and Ganwu Li and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Emerging infectious diseases.

In The Last Decade

Timo Homeier

17 papers receiving 948 citations

Hit Papers

Avian pathogenic, uropathogenic, and newborn meningitis-c... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Homeier Germany 13 494 305 289 274 230 17 969
Esther-Maria Antão Germany 12 780 1.6× 510 1.7× 257 0.9× 436 1.6× 133 0.6× 20 1.2k
Musangu Ngeleka Canada 17 347 0.7× 298 1.0× 274 0.9× 145 0.5× 95 0.4× 36 793
Harry Hariharan Grenada 20 234 0.5× 483 1.6× 287 1.0× 163 0.6× 48 0.2× 81 1.0k
Clarisse Désautels Canada 15 696 1.4× 419 1.4× 245 0.8× 264 1.0× 162 0.7× 20 986
Muneo NAKAZAWA Japan 19 726 1.5× 463 1.5× 669 2.3× 157 0.6× 139 0.6× 85 1.3k
Dianna M. Jordan United States 11 484 1.0× 310 1.0× 269 0.9× 185 0.7× 98 0.4× 17 800
Richard E. Wooley United States 19 452 0.9× 364 1.2× 128 0.4× 221 0.8× 109 0.5× 44 793
Kelly A. Tivendale Australia 17 443 0.9× 270 0.9× 91 0.3× 302 1.1× 99 0.4× 31 799
Heike Kaspar Germany 20 221 0.4× 212 0.7× 293 1.0× 474 1.7× 97 0.4× 57 1.2k
Ines Diehl Germany 8 784 1.6× 488 1.6× 157 0.5× 546 2.0× 398 1.7× 9 1.5k

Countries citing papers authored by Timo Homeier

Since Specialization
Citations

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

Fields of papers citing papers by Timo Homeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Homeier

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Homeier. A scholar is included among the top collaborators of Timo Homeier 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 Timo Homeier. Timo Homeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Wünschiers, Röbbe, Josephine Grützke, Burkhard Malorny, et al.. (2021). Testing assembly strategies of Francisella tularensis genomes to infer an evolutionary conservation analysis of genomic structures. BMC Genomics. 22(1). 822–822. 5 indexed citations
2.
Rissmann, Melanie, Martin Eiden, Abel Wade, et al.. (2017). Evidence for enzootic circulation of Rift Valley fever virus among livestock in Cameroon. Acta Tropica. 172. 7–13. 20 indexed citations
3.
Menge, Christian, et al.. (2016). Nationwide Cross-Sectional Study on Bovine Tuberculosis by Intra Vitam Testing in Germany, 2013-2014. Transboundary and Emerging Diseases. 64(4). 1236–1242. 2 indexed citations
4.
Globig, Anja, Elke Starick, Timo Homeier, et al.. (2016). Epidemiological and Molecular Analysis of an Outbreak of Highly Pathogenic Avian Influenza H5N8 clade 2.3.4.4 in a German Zoo: Effective Disease Control with Minimal Culling. Transboundary and Emerging Diseases. 64(6). 1813–1824. 23 indexed citations
5.
Gethmann, Jörn, Timo Homeier, Mark Holsteg, et al.. (2015). BVD-2 outbreak leads to high losses in cattle farms in Western Germany. Heliyon. 1(1). e00019–e00019. 31 indexed citations
6.
Harder, Timm, Sebastian Maurer‐Stroh, Anne Pohlmann, et al.. (2015). Influenza A(H5N8) Virus Similar to Strain in Korea Causing Highly Pathogenic Avian Influenza in Germany. Emerging infectious diseases. 21(5). 860–863. 59 indexed citations
7.
Sauter‐Louis, Carola, et al.. (2014). Prevalence of antibodies against feline panleukopenia virus in client-owned cats in Southern Germany. The Veterinary Journal. 199(3). 419–423. 26 indexed citations
8.
Streck, André Felipe, et al.. (2013). An updated TaqMan real-time PCR for canine and feline parvoviruses. Journal of Virological Methods. 193(1). 6–8. 37 indexed citations
9.
Streck, André Felipe, et al.. (2013). Analysis of porcine parvoviruses in tonsils and hearts from healthy pigs reveals high prevalence and genetic diversity in Germany. Archives of Virology. 158(6). 1173–1180. 38 indexed citations
10.
Streck, André Felipe, et al.. (2013). Population dynamics and in vitro antibody pressure of porcine parvovirus indicate a decrease in variability. Journal of General Virology. 94(9). 2050–2055. 11 indexed citations
11.
Streck, André Felipe, Sandro L. Bonatto, Timo Homeier, et al.. (2011). High rate of viral evolution in the capsid protein of porcine parvovirus. Journal of General Virology. 92(11). 2628–2636. 54 indexed citations
12.
Homeier, Timo, Torsten Semmler, Lothar H. Wieler, & Christa Ewers. (2010). The GimA Locus of Extraintestinal Pathogenic E. coli: Does Reductive Evolution Correlate with Habitat and Pathotype?. PLoS ONE. 5(5). e10877–e10877. 18 indexed citations
13.
Pfeffer, Martin, et al.. (2010). Chikungunya fever in two German tourists returning from the Maldives, September, 2009. Eurosurveillance. 15(13). 7 indexed citations
14.
Bachmann, Lisa, et al.. (2009). Influence of different oral rehydration solutions on abomasal conditions and the acid-base status of suckling calves. Journal of Dairy Science. 92(4). 1649–1659. 30 indexed citations
15.
Antão, Esther-Maria, Christa Ewers, Doreen Gürlebeck, et al.. (2009). Signature-Tagged Mutagenesis in a Chicken Infection Model Leads to the Identification of a Novel Avian Pathogenic Escherichia coli Fimbrial Adhesin. PLoS ONE. 4(11). e7796–e7796. 41 indexed citations
16.
Antão, Esther-Maria, Ganwu Li, Reza Seyed Sharifi, et al.. (2008). The chicken as a natural model for extraintestinal infections caused by avian pathogenic Escherichia coli (APEC). Microbial Pathogenesis. 45(5-6). 361–369. 111 indexed citations
17.
Ewers, Christa, Hendrik Wilking, Esther-Maria Antão, et al.. (2007). Avian pathogenic, uropathogenic, and newborn meningitis-causing Escherichia coli: How closely related are they?. International Journal of Medical Microbiology. 297(3). 163–176. 456 indexed citations breakdown →

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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