Gabriele Proetzel
- Immunology and Allergy top 2%
- Immunology top 2%
- Molecular Biology top 5%
- Protein purification and stability 9
- Glycosylation and Glycoproteins Research 5
- Hedgehog Signaling Pathway Studies 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 2
- Oncology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 12
-
- Neonatal Respiratory Health Research 2
-
- 3D Printing in Biomedical Research 2
- Co-authors
- Thomas DoetschmanSharon A. PawlowskiMoying YinRuth D. AllenIlona OrmsbyC L SidmanAnn B. KierRonald J. Diebold
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Gabriele Proetzel
21 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology and Allergy 293
- Immunology 963
- Molecular Biology 2.2k
- Genetics 710
- Oncology 686
Countries citing papers authored by Gabriele Proetzel
This map shows the geographic impact of Gabriele Proetzel'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 Proetzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Proetzel more than expected).
Fields of papers citing papers by Gabriele Proetzel
This network shows the impact of papers produced by Gabriele Proetzel. 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 Proetzel. The network helps show where Gabriele Proetzel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriele Proetzel, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2016 | 19 | |
| 4 | 2015 | 65 | |
| 5 | 2013 | 60 | |
| 6 | 2013 | 11 | |
| 7 | 2013 | 16 | |
| 8 | 2012 | 30 | |
| 9 | 2012 | 7 | |
| 10 | 2012 | 4 | |
| 11 | 2011 | 28 | |
| 12 | 2010 | 8 | |
| 13 | 2009 | 15 | |
| 14 | 2007 | 45 | |
| 15 | 2005 | 49 | |
| 16 | 2003 | 5 | |
| 17 | 2003 | 33 | |
| 18 | 1997 | 58 | |
| 19 | Transforming growth factor–β3 is required for secondary palate fusionbreakdown → | 1995 | 759 |
| 20 | Targeted disruption of the mouse transforming growth factor-β1 gene results in multifocal inflammatory diseasebreakdown → | 1992 | 2482 |
About Gabriele Proetzel
Gabriele Proetzel is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics, having authored 22 papers that have together received 3.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (9 papers), Glycosylation and Glycoproteins Research (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Neonatal Respiratory Health Research (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Immunology and Allergy (293 citations), Immunology (963 citations) and Molecular Biology (2.2k citations). Gabriele Proetzel has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Thomas Doetschman, Sharon A. Pawlowski, Moying Yin, Ruth D. Allen, Ilona Ormsby, C L Sidman, Ann B. Kier, Ronald J. Diebold, Marcia M. Shull and Michael V. Wiles. Their work appears in journals such as mAbs, Nature Genetics, Nature, BioDrugs and Molecular Therapy — Methods & Clinical Development.
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.