Kai Neben
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments 64
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 10
- Oncology top 2%
- Cancer Treatment and Pharmacology 16
- Peptidase Inhibition and Analysis 11
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 12
- Amyloidosis: Diagnosis, Treatment, Outcomes 9
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- Lymphoma Diagnosis and Treatment 15
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- Hematological disorders and diagnostics 9
- Co-authors
- Anthony D. HoHartmut GoldschmidtJens HillengaßAxel BennerThomas MoehlerThomas HielscherGerlinde EgererDirk Hose
- Cited by
- HematologyGeneticsOncology
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Kai Neben
107 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 100
- Hematology 2.5k
- Genetics 739
- Oncology 1.5k
- Molecular Biology 2.3k
- Pathology and Forensic Medicine 463
Countries citing papers authored by Kai Neben
This map shows the geographic impact of Kai Neben'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 Kai Neben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Neben more than expected).
Fields of papers citing papers by Kai Neben
This network shows the impact of papers produced by Kai Neben. 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 Kai Neben. The network helps show where Kai Neben may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Neben, 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 | 33 | |
| 2 | 2014 | 6 | |
| 3 | 2013 | 171 | |
| 4 | 2013 | 2 | |
| 5 | 2011 | 30 | |
| 6 | 2011 | 11 | |
| 7 | 2010 | 255 | |
| 8 | 2010 | 51 | |
| 9 | 2010 | 40 | |
| 10 | 2009 | 87 | |
| 11 | 2008 | 17 | |
| 12 | 2007 | 17 | |
| 13 | 2006 | 56 | |
| 14 | 2004 | 43 | |
| 15 | 2003 | 53 | |
| 16 | Combined systemic and intraventricular chemotherapy in primary CNS lymphoma: Superior results in patients younger than 60 years | 2001 | 1 |
| 17 | 2001 | 5 | |
| 18 | 2001 | 54 | |
| 19 | 2001 | 59 | |
| 20 | 2000 | 7 |
About Kai Neben
Kai Neben is a scholar working on Hematology, Oncology, Genetics, Pathology and Forensic Medicine and Emergency Medicine, having authored 111 papers that have together received 4.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (64 papers), Cancer Treatment and Pharmacology (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Protein Degradation and Inhibitors (12 papers), Peptidase Inhibition and Analysis (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Hematological disorders and diagnostics (9 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers). The work is most often cited by research in Hematology (2.5k citations), Genetics (739 citations), Oncology (1.5k citations), Molecular Biology (2.3k citations) and Pathology and Forensic Medicine (463 citations). Kai Neben has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Anthony D. Ho, Hartmut Goldschmidt, Jens Hillengaß, Axel Benner, Thomas Moehler, Thomas Hielscher, Gerlinde Egerer, Dirk Hose, Peter Lichter and Stefan Delorme. Their work appears in journals such as Blood, Annals of Hematology, Journal of Clinical Oncology, International Journal of Cancer and British Journal of Haematology.
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.