Gabriele Döderlein

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Gabriele Döderlein is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Gabriele Döderlein has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Gabriele Döderlein's work include Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (2 papers) and interferon and immune responses (1 paper). Gabriele Döderlein is often cited by papers focused on Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (2 papers) and interferon and immune responses (1 paper). Gabriele Döderlein collaborates with scholars based in Germany, Switzerland and Denmark. Gabriele Döderlein's co-authors include Thomas Graf, Hartmut Beug, Jean-François Conscience, Claus Nerlov, Kelly M. McNagny, Elisabeth Kowenz‐Leutz, Jon Frampton, Scott A. Ness, Toby J. Gibson and John D. Crispino and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Gabriele Döderlein

8 papers receiving 1.0k citations

Hit Papers

Chicken hematopoietic cells transformed by seven strains ... 1979 2026 1994 2010 1979 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gabriele Döderlein Germany 8 583 353 198 134 108 8 1.1k
Jean-François Conscience Switzerland 8 503 0.9× 329 0.9× 202 1.0× 138 1.0× 69 0.6× 12 1.0k
Midori Nomura Japan 13 429 0.7× 437 1.2× 182 0.9× 47 0.4× 39 0.4× 21 980
Jwu‐Sheng Tung United States 15 506 0.9× 357 1.0× 227 1.1× 56 0.4× 51 0.5× 29 1.2k
A. S. Kelus United Kingdom 21 675 1.2× 651 1.8× 222 1.1× 80 0.6× 105 1.0× 48 1.5k
H Domdey Germany 19 768 1.3× 352 1.0× 210 1.1× 20 0.1× 44 0.4× 35 1.3k
Stewart D. Nuttall Australia 22 1.1k 1.9× 260 0.7× 110 0.6× 31 0.2× 98 0.9× 40 1.6k
R. Yamamoto Australia 14 506 0.9× 461 1.3× 93 0.5× 60 0.4× 49 0.5× 23 1.2k
Masaho Ishino Japan 22 850 1.5× 190 0.5× 192 1.0× 179 1.3× 41 0.4× 39 1.6k
Mark D. Cochran United States 13 546 0.9× 114 0.3× 194 1.0× 84 0.6× 47 0.4× 18 940
Monna Crone Denmark 14 360 0.6× 379 1.1× 122 0.6× 163 1.2× 25 0.2× 35 995

Countries citing papers authored by Gabriele Döderlein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gabriele Döderlein

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Döderlein. A scholar is included among the top collaborators of Gabriele Döderlein 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 Gabriele Döderlein. Gabriele Döderlein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Huang, Ya‐Lin, Zeinab Anvarian, Gabriele Döderlein, Sergio P. Acebrón, & Christof Niehrs. (2015). Maternal Wnt/STOP signaling promotes cell division during early Xenopus embryogenesis. Proceedings of the National Academy of Sciences. 112(18). 5732–5737. 50 indexed citations
2.
Schuster, Mikkel Bruhn, Holger Kulessa, John D. Crispino, et al.. (2000). Antagonism between C/EBPβ and FOG in eosinophil lineage commitment of multipotent hematopoietic progenitors. Genes & Development. 14(19). 2515–2525. 94 indexed citations
3.
Nerlov, Claus, Kelly M. McNagny, Gabriele Döderlein, Elisabeth Kowenz‐Leutz, & Thomas Graf. (1998). Distinct C/EBP functions are required for eosinophil lineage commitment and maturation. Genes & Development. 12(15). 2413–2423. 104 indexed citations
4.
Frampton, Jon, Tony Kouzarides, Gabriele Döderlein, Thomas Graf, & Kathleen Weston. (1993). Influence of the v-Myb transactivation domain on the oncoprotein's transformation specificity.. The EMBO Journal. 12(4). 1333–1341. 16 indexed citations
5.
Frampton, Jon, Toby J. Gibson, Scott A. Ness, Gabriele Döderlein, & Thomas Graf. (1991). Proposed structure for the DNA-binding domain of the Myb oncoprotein based on model building and mutational analysis. Protein Engineering Design and Selection. 4(8). 891–901. 81 indexed citations
6.
Leutz, Achim, et al.. (1987). ts-Oncogene-Transformed Erythroleukemic Cells: A Novel Test System for Purifying and Characterizing Avian Erythroid Growth Factors. Hämatologie und Bluttransfusion. 31. 199–209. 32 indexed citations
7.
Marshall, John, et al.. (1986). Monoclonal antibodies to novel erythroid differentiation antigens reveal specific effects of oncogenes on the leukaemic cell phenotype. Leukemia Research. 10(3). 257–272. 32 indexed citations
8.
Beug, Hartmut, et al.. (1979). Chicken hematopoietic cells transformed by seven strains of defective avian leukemia viruses display three distinct phenotypes of differentiation. Cell. 18(2). 375–390. 677 indexed citations breakdown →

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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