G. Siegl

2.8k citations
60 papers · 2.4k · h-index 26

Impact in

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

Papers in

    • Parvovirus B19 Infection Studies 31
    • Viral gastroenteritis research and epidemiology 15
    • Virus-based gene therapy research 24

G. Siegl

60 papers receiving 2.1k citations

Peers

G. Siegl
Comparison fields: 5 of 61
  • Hepatology 815
  • Infectious Diseases 1.6k
  • Animal Science and Zoology 599
  • Dermatology 306
  • Genetics 703
Replace Sally A. Baylis with:
Sally A. Baylis Germany
Johannes Blümel Germany
Shudo Yamazaki Japan
A. Garbarg‐Chenon France
F Deinhardt Germany
Colin Sharp United Kingdom
Vladimir V. Lukashov Netherlands
Jolanta Kurz Canada
Nathalie Ruvoën‐Clouet France
Anna‐Maria Eis‐Hübinger Germany
G. Siegl relative to Sally A. Baylis Germany Sally A. Baylis's profile →
Citations per field
00.5×3.7×
Sally A. Baylis · 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 1992410
2 1990234
3 1997130
4 197998
5 199695
6 198276
7 197169
8 197166
9 196865
10 198163
11 200060
12 197855
13 198654
14 198152
15 197350
16 199049
17 199347
18 199843
19 197840
20 198338

About G. Siegl

G. Siegl is a scholar working on Infectious Diseases, Genetics, Animal Science and Zoology, Hepatology and Epidemiology, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (31 papers), Virus-based gene therapy research (24 papers), Viral gastroenteritis research and epidemiology (15 papers), Animal Virus Infections Studies (15 papers), Hepatitis Viruses Studies and Epidemiology (12 papers), Viral Infections and Immunology Research (10 papers), Dermatological and COVID-19 studies (7 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Hepatology (815 citations), Infectious Diseases (1.6k citations), Animal Science and Zoology (599 citations), Dermatology (306 citations) and Genetics (703 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, G. Kronauer, Matthias Gautschi, C. Hallauer, G K McMaster, M. Fopp and Anders Widell. 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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