Gisa Gerold

1.7k citations
53 papers · 1.1k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Gisa Gerold

49 papers receiving 1.1k citations

Hit Papers

Characterization of a canine homolog of hepatitis C virus 2011 · 205 citations
205201120262016202150100150200

Peers

Gisa Gerold
Comparison fields: 5 of 84
  • Hepatology 326
  • Infectious Diseases 294
  • Immunology 234
  • Virology 50
  • Epidemiology 355
Replace Brigitte Heller with:
Brigitte Heller United States
Takuo Mizukami Japan
Toshitaka Akatsuka Japan
Christopher J. McCormick United Kingdom
Kevin L. McKnight United States
Karl Melber Germany
Paul Ingravallo United States
Adrien Breiman France
Matthew T. Miller United States
Frances Terry United States
Gisa Gerold relative to Brigitte Heller United States Brigitte Heller's profile →
Citations per field
00.5×
Brigitte Heller · 1×
Citations per year

Countries citing papers authored by Gisa Gerold

Since Specialization
Citations

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

Fields of papers citing papers by Gisa Gerold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20241
5 20232
6 20231
7 20231
8 20231
9 202214
10 202134
11 202117
12 202126
13 202019
14 201943
15 201843
16 201522
17 201549
18 201341
19
Characterization of a canine homolog of hepatitis C virus
Hit paper breakdown →
2011205
20 200875

About Gisa Gerold

Gisa Gerold is a scholar working on Hepatology, Virology, Infectious Diseases, Immunology and Aging, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Viral Infections and Vectors (9 papers), Hepatitis B Virus Studies (9 papers), Mosquito-borne diseases and control (9 papers), Virus-based gene therapy research (7 papers), interferon and immune responses (7 papers), Viral Infections and Outbreaks Research (7 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Hepatology (326 citations), Infectious Diseases (294 citations), Immunology (234 citations), Virology (50 citations) and Epidemiology (355 citations). Gisa Gerold has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Thomas Pietschmann, Janina Bruening, Arturo Zychlinsky, Charles M. Rice, José A. Luján Henríquez, Peter Simmonds, Amit Kapoor, W. Ian Lipkin, Cadhla Firth and Komal Jain. Their work appears in journals such as Journal of Virology, Cells, PLoS Pathogens, mBio and Molecular & Cellular Proteomics.

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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