Annegret Wünsch

567 citations
14 papers · 409 indexed · h-index 7
Topics
Animal Genetics and Reproduction (6 papers)Xenotransplantation and immune response (6 papers)Virus-based gene therapy research (5 papers)
Partner nations
GermanySwitzerlandJapan

In The Last Decade

Annegret Wünsch

13 papers receiving 393 citations

Peers

Annegret Wünsch
Comparison fields: 5 of 68
  • Molecular Biology 220
  • Genetics 196
  • Surgery 149
  • Immunology 36
  • Public Health, Environmental and Occupational Health 34
Replace Taylor Hailstock with:
Taylor Hailstock United States
Hong‐Jiang Wei China
Anthony Doran United Kingdom
Monika Nowak‐Imialek Germany
Dong‐Kyung Lee South Korea
Shu‐Zhen Huang China
A. Wuensch Germany
Thomas Schaffer Switzerland
Jorge Alemany Spain
Daisuke Torigoe Japan
Annegret Wünsch relative to Taylor Hailstock United States Taylor Hailstock's profile →
Citations per field
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Citations per year

Countries citing papers authored by Annegret Wünsch

Since Specialization
Citations

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

Fields of papers citing papers by Annegret Wünsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annegret Wünsch

This figure shows the co-authorship network connecting the top 25 collaborators of Annegret Wünsch. A scholar is included among the top collaborators of Annegret Wünsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Annegret Wünsch. Annegret Wünsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 2
5 31
6 9
7 6
8 1
9 15
10 80
11 47
12 203
13
Untersuchungen zur Reaktion von Kartoffelsorten mit unterschiedlichem Stickstoffverwertungsvermögen. I. Mitteilung: Auswirkung der Stickstoffdüngung auf Stärkegehalt und N-Fraktionen im Gefäßversuch
2
14 5

About Annegret Wünsch

Annegret Wünsch is a scholar working on Genetics, Immunology and Surgery, having authored 14 papers that have together received 409 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), Xenotransplantation and immune response (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Genetics (196 citations), Surgery (149 citations) and Molecular Biology (220 citations). Annegret Wünsch has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Eckhard Wolf, Nikolai Klymiuk, Mayuko Kurome, Barbara Keßler, Simone Renner, Bernhard Aigner, Andrea Bähr, Nadja Herbach, Hiroshi Nagashima and Rüdiger Wanke. Their work appears in journals such as PLoS ONE, Diabetes and The FASEB Journal.

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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