Gabriele Döderlein
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in ⓘ
-
- Immune Cell Function and Interaction 2
- Invertebrate Immune Response Mechanisms 1
- interferon and immune responses 1
- Virology 1
- HIV Research and Treatment 1
- Co-authors
- Thomas Graf (6 shared papers)Hartmut Beug (3 shared papers)Jean-François Conscience (1 shared paper)Claus Nerlov (2 shared papers)Kelly M. McNagny (1 shared paper)Elisabeth Kowenz‐Leutz (1 shared paper)Jon Frampton (2 shared papers)Toby J. Gibson (1 shared paper)
- Journals
- Genes & Development (2 papers)Protein Engineering Design and Selection (1 paper)Cell (1 paper)The EMBO Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanySwitzerlandDenmark
In The Last Decade
Gabriele Döderlein
8 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Immunology 353
- Animal Science and Zoology 134
- Microbiology 70
- Molecular Biology 583
- Hematology 88
Countries citing papers authored by Gabriele Döderlein
This map shows the geographic impact of Gabriele Döderlein'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 Gabriele Döderlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Döderlein more than expected).
Fields of papers citing papers by Gabriele Döderlein
This network shows the impact of papers produced by Gabriele Döderlein. 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 Gabriele Döderlein. The network helps show where Gabriele Döderlein may publish in the future.
Co-authors
The 22 scholars most cited alongside Gabriele Döderlein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Chicken hematopoietic cells transformed by seven strains of defective avian leukemia viruses display three distinct phenotypes of differentiation Hit paper breakdown → | 1979 | 677 |
| 2 | 1998 | 104 | |
| 3 | 2000 | 94 | |
| 4 | 1991 | 81 | |
| 5 | 2015 | 50 | |
| 6 | 1987 | 32 | |
| 7 | 1986 | 32 | |
| 8 | 1993 | 16 |
About Gabriele Döderlein
Gabriele Döderlein is a scholar working on Immunology, Virology, Hematology, Genetics and Agronomy and Crop Science, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Lymphoma Diagnosis and Treatment (1 paper), interferon and immune responses (1 paper), HIV Research and Treatment (1 paper), Animal Disease Management and Epidemiology (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Immunology (353 citations), Animal Science and Zoology (134 citations), Microbiology (70 citations), Molecular Biology (583 citations) and Hematology (88 citations). Gabriele Döderlein has collaborated with scholars based in Germany, Switzerland and Denmark. Frequent co-authors include Thomas Graf, Hartmut Beug, Jean-François Conscience, Claus Nerlov, Kelly M. McNagny, Elisabeth Kowenz‐Leutz, Jon Frampton, Toby J. Gibson, Scott A. Ness and Mikkel Bruhn Schuster. Their work appears in journals such as Genes & Development, Protein Engineering Design and Selection, Cell, The EMBO Journal 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.