Gudrun Werner

1.3k citations
15 papers · 1.1k · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

Gudrun Werner

15 papers receiving 1.1k citations

Peers

Gudrun Werner
Comparison fields: 5 of 79
  • Virology 169
  • Immunology 194
  • Infectious Diseases 155
  • Molecular Biology 363
  • Cancer Research 76
Replace Donato Zipeto with:
Donato Zipeto Italy
Noritada Kobayashi Japan
Jeng‐Pyng Shaw United States
Chuan‐Chu Chou United States
Robert M. Crowl United States
Sabina A. Islam United States
Andreas Jekle United States
Subhash Dhawan United States
Chunmei Li China
Michihiro Takahama Japan
Gudrun Werner relative to Donato Zipeto Italy Donato Zipeto's profile →
Citations per field
00.5×1.5×
Donato Zipeto · 1×
Citations per year

Countries citing papers authored by Gudrun Werner

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008449
2 1996123
3 2002109
4 199595
5 201479
6 199652
7 198649
8 199833
9 197827
10 199026
11 199222
12 200018
13 200017
14 200015
15 19949

About Gudrun Werner

Gudrun Werner is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Physiology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers), Immunotherapy and Immune Responses (3 papers), Fungal and yeast genetics research (2 papers), Receptor Mechanisms and Signaling (1 paper), Cholesterol and Lipid Metabolism (1 paper), Bacteriophages and microbial interactions (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Virology (169 citations), Immunology (194 citations), Infectious Diseases (155 citations), Molecular Biology (363 citations) and Cancer Research (76 citations). Gudrun Werner has collaborated with scholars based in Austria, Switzerland and Belgium. Frequent co-authors include José M. Carballido, Antal Rot, Tina Rubic, Josef G. Meingassner, Christoph Schwärzler, Tobias Junt, Hans Voshol, Günther Lametschwandtner, Nicole Carballido‐Perrig and Xiaohong Mao. Their work appears in journals such as Journal of Virology, Journal of Medicinal Chemistry, The Lancet, Antiviral Research and Proceedings of the National Academy of 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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