G. Siegl

2.8k citations
60 papers · 2.4k · h-index 25

Impact in

  • Hepatology top 1%
    • Hepatitis Viruses Studies and Epidemiology
    • Parvovirus B19 Infection Studies
    • Viral gastroenteritis research and epidemiology

Papers in

    • Parvovirus B19 Infection Studies 28
    • Viral gastroenteritis research and epidemiology 3
    • Hepatitis Viruses Studies and Epidemiology 14

G. Siegl

59 papers receiving 2k citations

Peers

G. Siegl
Comparison fields: 5 of 67
  • Hepatology 799
  • Infectious Diseases 893
  • Animal Science and Zoology 416
  • Epidemiology 249
  • Virology 22
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G. Siegl relative to Jean‐François Cantaloube France Jean‐François Cantaloube's profile →
Citations per field
00.5×1.5×2×2.4×
Jean‐François Cantaloube · 1×
Citations per year

Countries citing papers authored by G. Siegl

Since Specialization
Citations

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

Fields of papers citing papers by G. Siegl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992413
2 1990230
3 1997129
4 197998
5 199694
6 198277
7 197169
8 197165
9 196862
10 198162
11 200061
12 198654
13 197853
14 198151
15 197349
16 199349
17 199047
18 199843
19 197840
20 198338

About G. Siegl

G. Siegl is a scholar working on Infectious Diseases, Hepatology, Animal Science and Zoology, Epidemiology and Agronomy and Crop Science, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (28 papers), Hepatitis Viruses Studies and Epidemiology (14 papers), Animal Virus Infections Studies (13 papers), Virology and Viral Diseases (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Immunology Research (2 papers), Animal Disease Management and Epidemiology (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hepatology (799 citations), Infectious Diseases (893 citations), Animal Science and Zoology (416 citations), Epidemiology (249 citations) and Virology (22 citations). G. Siegl has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include P. Cassinotti, Stanley M. Lemon, Jon-Duri Tratschin, Gert Frösner, Gertrud Kronauer, C. Hallauer, G K McMaster, Omana V. Nainan, Atsuko Totsuka and Robert W. Jansen. Their work appears in journals such as Archives of Virology, Journal of General Virology, Journal of Virology, Journal of Medical Virology and European Journal of Clinical Microbiology & Infectious Diseases.

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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