Barbara Holzer

2.0k citations
55 papers · 1.3k · h-index 22

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 7
    • Viral Infections and Vectors 6
    • SARS-CoV-2 detection and testing 5
    • Influenza Virus Research Studies 9

Barbara Holzer

55 papers receiving 1.3k citations

Peers

Barbara Holzer
Comparison fields: 5 of 107
  • Infectious Diseases 295
  • Ecology, Evolution, Behavior and Systematics 323
  • Developmental Biology 24
  • Genetics 271
  • Oncology 196
Replace D. Dekegel with:
D. Dekegel Belgium
Lynn Huynh United States
Miles A. Nunn United Kingdom
Takuo Mizukami Japan
Anthony E. Castro United States
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Citations per field
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Citations per year

Countries citing papers authored by Barbara Holzer

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Holzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 2004130
3 2003122
4 201068
5 200660
6 200257
7 200353
8 200542
9 200541
10 200938
11 202137
12 201837
13 200935
14 200634
15 201932
16 201129
17 202022
18 201322
19 201221
20 201821

About Barbara Holzer

Barbara Holzer is a scholar working on Infectious Diseases, Epidemiology, Genetics, Oncology and Ecology, Evolution, Behavior and Systematics, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Insect and Arachnid Ecology and Behavior (8 papers), Animal Behavior and Reproduction (7 papers), Plant and animal studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Cancer Cells and Metastasis (6 papers), Viral Infections and Vectors (6 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Infectious Diseases (295 citations), Ecology, Evolution, Behavior and Systematics (323 citations), Developmental Biology (24 citations), Genetics (271 citations) and Oncology (196 citations). Barbara Holzer has collaborated with scholars based in Austria, United Kingdom and Switzerland. Frequent co-authors include Michel Chapuisat, Laurent Keller, Michael D. Baron, Brigitte M. Krenn, Joachim Seipelt, Elma Tchilian, Kjerstin Lanke, Frank J. M. van Kuppeveld, Robert Zeillinger and Jan Willem Voncken. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Veterinary Research, Colorectal Disease and Proceedings of the Royal Society B Biological Sciences.

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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