Jutta Deckert
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Physiology top 5%
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 16
- Oncology 15
- HER2/EGFR in Cancer Research 11
- CAR-T cell therapy research 8
- Co-authors
- Kevin Struhl (2 shared papers)Richard S. Zitomer (5 shared papers)Bhuvana Balasubramanian (2 shared papers)Pauline M. Carrico (1 shared paper)Rodolfo F. Perini (1 shared paper)Thomas Chittenden (6 shared papers)Peter U. Park (7 shared papers)Matteo Fassan (1 shared paper)
- Journals
- Blood (8 papers)Cancer Research (6 papers)Molecular and Cellular Biology (3 papers)Molecular Cancer Therapeutics (2 papers)Genetics (2 papers)
- Partner nations
- United StatesFranceCzechia
In The Last Decade
Jutta Deckert
27 papers receiving 1000 citations
Peers
Comparison fields: 5 of 74
- Hematology 186
- Physiology 64
- Oncology 295
- Molecular Biology 666
- Genetics 76
Countries citing papers authored by Jutta Deckert
This map shows the geographic impact of Jutta Deckert'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 Jutta Deckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jutta Deckert more than expected).
Fields of papers citing papers by Jutta Deckert
This network shows the impact of papers produced by Jutta Deckert. 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 Jutta Deckert. The network helps show where Jutta Deckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jutta Deckert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 245 | |
| 2 | 2001 | 174 | |
| 3 | 2019 | 116 | |
| 4 | 1995 | 91 | |
| 5 | 1997 | 74 | |
| 6 | 2013 | 67 | |
| 7 | 1995 | 60 | |
| 8 | 2002 | 48 | |
| 9 | 1998 | 32 | |
| 10 | 1997 | 30 | |
| 11 | 1999 | 27 | |
| 12 | 2014 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2011 | 4 | |
| 17 | 2008 | 3 | |
| 18 | 2013 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 3 |
About Jutta Deckert
Jutta Deckert is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Genetics and Physiology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), HER2/EGFR in Cancer Research (11 papers), CAR-T cell therapy research (8 papers), Chronic Lymphocytic Leukemia Research (4 papers), Fungal and yeast genetics research (4 papers), Ubiquitin and proteasome pathways (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (186 citations), Physiology (64 citations), Oncology (295 citations), Molecular Biology (666 citations) and Genetics (76 citations). Jutta Deckert has collaborated with scholars based in United States, France and Czechia. Frequent co-authors include Kevin Struhl, Richard S. Zitomer, Bhuvana Balasubramanian, Pauline M. Carrico, Rodolfo F. Perini, Thomas Chittenden, Peter U. Park, Matteo Fassan, Francesca Galuppini and Raffaele Baffa. Their work appears in journals such as Blood, Cancer Research, Molecular and Cellular Biology, Molecular Cancer Therapeutics and Genetics.
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.