Michael Sieg

685 total citations
25 papers, 364 citations indexed

About

Michael Sieg is a scholar working on Infectious Diseases, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Michael Sieg has authored 25 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 10 papers in Epidemiology and 8 papers in Animal Science and Zoology. Recurrent topics in Michael Sieg's work include Viral Infections and Vectors (10 papers), Virology and Viral Diseases (9 papers) and Animal Virus Infections Studies (8 papers). Michael Sieg is often cited by papers focused on Viral Infections and Vectors (10 papers), Virology and Viral Diseases (9 papers) and Animal Virus Infections Studies (8 papers). Michael Sieg collaborates with scholars based in Germany, Chile and Slovakia. Michael Sieg's co-authors include Thomas W. Vahlenkamp, Kristin Heenemann, Ute Ziegler, Iwan A. Burgener, Volker Schmidt, Martin H. Groschup, Gerhard Oechtering, Markus Keller, Kerstin Müller and Friederike Michel and has published in prestigious journals such as PLoS ONE, Journal of General Virology and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Michael Sieg

24 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sieg Germany	13	241	161	122	117	73	25	364
Teresa Fagulha Portugal	13	292 1.2×	108 0.7×	165 1.4×	122 1.0×	98 1.3×	35	438
Fernanda Ramos Portugal	13	278 1.2×	92 0.6×	139 1.1×	105 0.9×	61 0.8×	28	435
Eveline Wodak Austria	9	250 1.0×	127 0.8×	71 0.6×	186 1.6×	45 0.6×	13	413
Kristin Heenemann Germany	13	169 0.7×	55 0.3×	141 1.2×	171 1.5×	85 1.2×	30	367
Sylvie Gueguen France	9	110 0.5×	217 1.3×	68 0.6×	196 1.7×	68 0.9×	10	424
Nathaniel L. Matteson United States	3	352 1.5×	60 0.4×	72 0.6×	92 0.8×	55 0.8×	3	505
Jakub Kubacki Switzerland	9	160 0.7×	55 0.3×	84 0.7×	43 0.4×	37 0.5×	24	250
Kridsada Chaichoun Thailand	10	195 0.8×	128 0.8×	43 0.4×	134 1.1×	28 0.4×	22	394
Ivan Trus Belgium	14	314 1.3×	80 0.5×	267 2.2×	95 0.8×	175 2.4×	30	477
Jingkai Ji China	6	206 0.9×	48 0.3×	82 0.7×	71 0.6×	34 0.5×	13	367

Countries citing papers authored by Michael Sieg

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sieg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sieg

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

All Works

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20 of 20 papers shown

Ziegler, Ute, Anna Obiegala, Katharina L. Lohmann, et al.. (2023). Horses as Sentinels for the Circulation of Flaviviruses in Eastern–Central Germany. Viruses. 15(5). 1108–1108. 14 indexed citations

Sieg, Michael, Ute Ziegler, Martin Pfeffer, et al.. (2022). Seroprevalence and Risk Factors for Equine West Nile Virus Infections in Eastern Germany, 2020. Viruses. 14(6). 1191–1191. 16 indexed citations

Sieg, Michael, et al.. (2022). The Interferon Response Dampens the Usutu Virus Infection-Associated Increase in Glycolysis. Frontiers in Cellular and Infection Microbiology. 12. 823181–823181. 8 indexed citations

Claus, Claudia, Andréa Cristina Konrath, Hermann Nieper, et al.. (2022). Ivermectin Inhibits the Replication of Usutu Virus In Vitro. Viruses. 14(8). 1641–1641. 6 indexed citations

Lohmann, Katharina L., et al.. (2022). West-Nil-Virus-Infektion bei 12 Pferden in Mitteldeutschland. Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere. 50(6). 362–376. 2 indexed citations

Nikolin, Veljko, et al.. (2022). In Vitro Growth, Receptor Usage and Pathogenesis of Feline Morbillivirus in the Natural Host. Viruses. 14(7). 1503–1503. 2 indexed citations

Schmidt, Volker, et al.. (2021). Pigeon rotavirus A genotype G18P[17]-associated disease outbreaks after fancy pigeon shows in Germany – a case series. Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere. 49(1). 22–27. 15 indexed citations

Schmidt, Volker, et al.. (2021). Usutu virus infection in aviary birds during the cold season. Avian Pathology. 50(5). 427–435. 6 indexed citations

Sieg, Michael, Irene Sacristán, Karen A. Terio, et al.. (2020). Identification of Novel Feline Paramyxoviruses in Guignas (Leopardus guigna) from Chile. Viruses. 12(12). 1397–1397. 14 indexed citations

10.

Sacristán, Irene, Aitor Cevidanes, Javier Millán, et al.. (2020). High seroprevalence of feline morbilliviruses in free-roaming domestic cats in Chile. Archives of Virology. 166(1). 281–285. 12 indexed citations

11.

Heenemann, Kristin, et al.. (2020). Prevalence of pigeon rotavirus infections: animal exhibitions as a risk factor for pigeon flocks. Archives of Virology. 166(1). 65–72. 12 indexed citations

12.

Michel, Friederike, Michael Sieg, Dominik Fischer, et al.. (2019). Evidence for West Nile Virus and Usutu Virus Infections in Wild and Resident Birds in Germany, 2017 and 2018. Viruses. 11(7). 674–674. 72 indexed citations

13.

Sacristán, Irene, Michael Sieg, Francisca Acuña, et al.. (2019). Molecular and serological survey of carnivore pathogens in free-roaming domestic cats of rural communities in southern Chile. Journal of Veterinary Medical Science. 81(12). 1740–1748. 15 indexed citations

14.

Heenemann, Kristin, Daniela Volke, Michael Sieg, et al.. (2018). Highly sensitive ELISA for the serological detection of murine rotavirus EDIM based on its major immunogen VP6. Journal of Virological Methods. 262. 72–78.

15.

Sieg, Michael, Volker Schmidt, Ute Ziegler, et al.. (2017). Outbreak and Cocirculation of Three Different Usutu Virus Strains in Eastern Germany. Vector-Borne and Zoonotic Diseases. 17(9). 662–664. 37 indexed citations

16.

Sieg, Michael, Volker Schmidt, Ute Ziegler, et al.. (2017). First outbreak and co-circulation of three different Usutu virus strains in Eastern Germany. 290. 1 indexed citations

17.

Heenemann, Kristin, et al.. (2015). Complete Genome Sequence of a Novel Avian Polyomavirus Isolated from Gouldian Finch. Genome Announcements. 3(5). 10 indexed citations

18.

Sieg, Michael, et al.. (2015). Discovery of new feline paramyxoviruses in domestic cats with chronic kidney disease. Virus Genes. 51(2). 294–297. 46 indexed citations

19.

Reiche, Sven, et al.. (2015). High Inter-Individual Diversity of Point Mutations, Insertions, and Deletions in Human Influenza Virus Nucleoprotein-Specific Memory B Cells. PLoS ONE. 10(6). e0128684–e0128684. 5 indexed citations

20.

Reiche, Sven, et al.. (2014). Hepatitis C virus (HCV)-specific memory B-cell responses in transiently and chronically infected HIV positive individuals. Journal of Clinical Virology. 59(4). 218–222. 6 indexed citations

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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