Birgit Ledermann

11.5k citations
43 papers · 9.6k indexed · 3 hit papers · h-index 36

Birgit Ledermann

43 papers receiving 9.4k citations

Hit Papers

Two amyloid precursor protein transgenic mouse models wit...1.2k199420262004201550010001.5k

Peers

Birgit Ledermann
Comparison fields: 5 of 128
  • Immunology 3.8k
  • Developmental Neuroscience 428
  • Cellular and Molecular Neuroscience 1.2k
  • Neurology 462
  • Virology 251
Replace Douglas Pat Cerretti with:
Douglas Pat Cerretti United States
Keisuke Kuida United States
Kurt Bürki Switzerland
Klaus Pfizenmaier Germany
Hans Link Sweden
Florence M. Hofman United States
William A. Kuziel United States
Andrew Murphy United States
Patrick Matthias Switzerland
Bao Lu United States
Birgit Ledermann relative to Douglas Pat Cerretti United States Douglas Pat Cerretti's profile →
Citations per field
00.5×1.5×2.2×
Douglas Pat Cerretti · 1×
Citations per year

Countries citing papers authored by Birgit Ledermann

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Ledermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 200916
3 200568
4 200353
5 200396
6 2003317
7 200275
8 200014
9 200055
10 199923
11 1998114
12 1998220
13 1997268
14 1996231
15 199582
16 1995243
17 199583
18 1994191
19
Cytotoxicity mediated by T cells and natural killer cells is greatly impaired in perforin-deficient micebreakdown →
19941504
20 1991140

About Birgit Ledermann

Birgit Ledermann is a scholar working on Immunology, Aging and Molecular Biology, having authored 43 papers that have together received 9.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (7 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (5 papers), Virus-based gene therapy research (4 papers), Reproductive Biology and Fertility (3 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Immunology (3.8k citations), Developmental Neuroscience (428 citations) and Cellular and Molecular Neuroscience (1.2k citations). Birgit Ledermann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Kurt Bürki, David Kägi, Hans Hengartner, Rolf M. Zinkernagel, Peter Seiler, Bernhard Odermatt, Shigekazu Nagata, Françoise Vignaux, Valérie Depraetere and Pierre Golstein. Their work appears in journals such as European Journal of Immunology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, The FASEB Journal and The Journal of Experimental Medicine.

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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