Jutta Ackermann
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Genomic variations and chromosomal abnormalities
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 18
- Acute Myeloid Leukemia Research 3
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- Glycosylation and Glycoproteins Research 5
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 4
- Co-authors
- Johannes Drach (24 shared papers)H. Huber (9 shared papers)H. Kaufmann (14 shared papers)Niklas Zojer (10 shared papers)Heinz Gisslinger (9 shared papers)Heinz Ludwig (10 shared papers)Elisabeth Krömer (5 shared papers)R. Heinz (5 shared papers)
- Journals
- Blood (7 papers)British Journal of Haematology (3 papers)European Journal Of Haematology (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Cancer (1 paper)
- Partner nations
- AustriaSingaporeUnited States
In The Last Decade
Jutta Ackermann
24 papers receiving 950 citations
Peers
Comparison fields: 5 of 49
- Hematology 705
- Genetics 214
- Oncology 349
- Molecular Biology 687
- Cancer Research 76
Countries citing papers authored by Jutta Ackermann
This map shows the geographic impact of Jutta Ackermann'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 Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jutta Ackermann more than expected).
Fields of papers citing papers by Jutta Ackermann
This network shows the impact of papers produced by Jutta Ackermann. 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 Ackermann. The network helps show where Jutta Ackermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jutta Ackermann, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 239 | |
| 2 | 2000 | 226 | |
| 3 | 2000 | 115 | |
| 4 | 2004 | 56 | |
| 5 | 2000 | 37 | |
| 6 | 2005 | 35 | |
| 7 | 1997 | 34 | |
| 8 | 2000 | 30 | |
| 9 | 2000 | 28 | |
| 10 | 2000 | 27 | |
| 11 | 2003 | 24 | |
| 12 | Low p27Kip1 expression is an independent adverse prognostic factor in patients with multiple myeloma. | 2003 | 22 |
| 13 | 2002 | 21 | |
| 14 | 1998 | 18 | |
| 15 | 2002 | 17 | |
| 16 | 2004 | 10 | |
| 17 | 1998 | 10 | |
| 18 | 2003 | 6 | |
| 19 | 1999 | 5 | |
| 20 | 2007 | 3 |
About Jutta Ackermann
Jutta Ackermann is a scholar working on Hematology, Molecular Biology, Oncology, Surgery and Genetics, having authored 24 papers that have together received 970 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Glycosylation and Glycoproteins Research (5 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (4 papers), Acute Myeloid Leukemia Research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer-related Molecular Pathways (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Hematology (705 citations), Genetics (214 citations), Oncology (349 citations), Molecular Biology (687 citations) and Cancer Research (76 citations). Jutta Ackermann has collaborated with scholars based in Austria, Singapore and United States. Frequent co-authors include Johannes Drach, H. Huber, H. Kaufmann, Niklas Zojer, Heinz Gisslinger, Heinz Ludwig, Elisabeth Krömer, R. Heinz, E. Fritz and R. Roka. Their work appears in journals such as Blood, British Journal of Haematology, European Journal Of Haematology, Journal of Cancer Research and Clinical Oncology and Cancer.
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.