Jutta Deckert
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 8
- Radiopharmaceutical Chemistry and Applications 1
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- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Kevin Struhl (2 shared papers)Richard S. Zitomer (6 shared papers)Bhuvana Balasubramanian (2 shared papers)Peter U. Park (4 shared papers)Thomas D. Chittenden (4 shared papers)Pauline M. Carrico (1 shared paper)Rodolfo F. Perini (1 shared paper)Ana María Rodríguez Torres (2 shared papers)
- Journals
- Blood (6 papers)Molecular and Cellular Biology (3 papers)Genetics (2 papers)Clinical Cancer Research (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Jutta Deckert
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 52
- Hematology 216
- Molecular Biology 522
- Oncology 101
- Genetics 36
- Pathology and Forensic Medicine 57
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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 290 | |
| 2 | 2001 | 178 | |
| 3 | 2019 | 121 | |
| 4 | 1995 | 93 | |
| 5 | 2013 | 79 | |
| 6 | 1997 | 73 | |
| 7 | 1995 | 62 | |
| 8 | 2002 | 49 | |
| 9 | 1998 | 33 | |
| 10 | 2014 | 33 | |
| 11 | 1997 | 32 | |
| 12 | 1999 | 30 | |
| 13 | 2015 | 8 | |
| 14 | 2008 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 1 |
About Jutta Deckert
Jutta Deckert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Genetics, Molecular Biology and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Fungal and yeast genetics research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Genomics and Chromatin Dynamics (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer, Hypoxia, and Metabolism (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Hematology (216 citations), Molecular Biology (522 citations), Oncology (101 citations), Genetics (36 citations) and Pathology and Forensic Medicine (57 citations). Jutta Deckert has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Kevin Struhl, Richard S. Zitomer, Bhuvana Balasubramanian, Peter U. Park, Thomas D. Chittenden, Pauline M. Carrico, Rodolfo F. Perini, Ana María Rodríguez Torres, Matteo Fassan and Francesca Galuppini. Their work appears in journals such as Blood, Molecular and Cellular Biology, Genetics, Clinical Cancer Research and Molecular Cancer Therapeutics.
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.