Michael Sieg

685 citations
25 papers · 364 · h-index 13

Impact in

Papers in

Michael Sieg

24 papers receiving 362 citations

Peers

Michael Sieg
Comparison fields: 5 of 36
  • Infectious Diseases 241
  • Animal Science and Zoology 122
  • Parasitology 41
  • Public Health, Environmental and Occupational Health 161
  • Virology 26
Replace Nathaniel L. Matteson with:
Nathaniel L. Matteson United States
Kristin Heenemann Germany
Jakub Kubacki Switzerland
Tomislav Keros Croatia
Teresa Fagulha Portugal
Keita Noguchi Japan
Carolyn Weeks-Levy United States
Fernanda Ramos Portugal
Eveline Wodak Austria
Federica Obber Italy
Michael Sieg relative to Nathaniel L. Matteson United States Nathaniel L. Matteson's profile →
Citations per field
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Nathaniel L. Matteson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Sieg, 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 Michael Sieg Line = papers co-authored together Michael Sieg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201546
3 201737
4 201925
5 202216
6 201416
7 202115
8 201915
9 202014
10 202314
11 201813
12 202012
13 202012
14 201510
15 20228
16 20146
17 20226
18 20216
19 20216
20 20155

About Michael Sieg

Michael Sieg is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Genetics, having authored 25 papers that have together received 364 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Virology and Viral Diseases (9 papers), Animal Virus Infections Studies (8 papers), Mosquito-borne diseases and control (7 papers), Malaria Research and Control (5 papers), Virus-based gene therapy research (4 papers), Viral gastroenteritis research and epidemiology (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Infectious Diseases (241 citations), Animal Science and Zoology (122 citations), Parasitology (41 citations), Public Health, Environmental and Occupational Health (161 citations) and Virology (26 citations). Michael Sieg has collaborated with scholars based in Germany, Chile and Slovakia. Frequent co-authors include Thomas W. Vahlenkamp, Kristin Heenemann, Iwan A. Burgener, Volker Schmidt, Ute Ziegler, Martin H. Groschup, Gerhard Oechtering, Markus Keller, Katharina L. Lohmann and Javier Millán. Their work appears in journals such as Viruses, Archives of Virology, Journal of Clinical Virology, Vector-Borne and Zoonotic Diseases and Avian Pathology.

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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