Kai Neben
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 1%
- Glioma Diagnosis and Treatment
Papers in
- Hematology 69
- Multiple Myeloma Research and Treatments 64
- Acute Myeloid Leukemia Research 8
- Oncology 37
- Cancer Treatment and Pharmacology 12
- Co-authors
- Anthony D. Ho (63 shared papers)Hartmut Goldschmidt (65 shared papers)Jens Hillengaß (39 shared papers)Axel Benner (30 shared papers)Thomas Moehler (20 shared papers)Thomas Hielscher (21 shared papers)Gerlinde Egerer (19 shared papers)Dirk Hose (29 shared papers)
- Journals
- Blood (27 papers)Journal of Clinical Oncology (7 papers)Annals of Hematology (7 papers)International Journal of Cancer (6 papers)British Journal of Haematology (4 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Kai Neben
108 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 96
- Hematology 2.4k
- Genetics 619
- Oncology 1.2k
- Molecular Biology 2.0k
- Pathology and Forensic Medicine 368
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-authors
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
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 259 | |
| 2 | 2009 | 190 | |
| 3 | 2005 | 181 | |
| 4 | 2013 | 171 | |
| 5 | 2013 | 154 | |
| 6 | 2010 | 151 | |
| 7 | 2004 | 122 | |
| 8 | 2002 | 117 | |
| 9 | 2003 | 116 | |
| 10 | 2010 | 114 | |
| 11 | 2011 | 107 | |
| 12 | 2001 | 95 | |
| 13 | 2004 | 93 | |
| 14 | 2009 | 87 | |
| 15 | 2012 | 86 | |
| 16 | Dose-dependent effect of thalidomide on overall survival in relapsed multiple myeloma. | 2002 | 83 |
| 17 | 2014 | 73 | |
| 18 | 2002 | 68 | |
| 19 | 2014 | 67 | |
| 20 | 2002 | 59 |
About Kai Neben
Kai Neben is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, 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), Lymphoma Diagnosis and Treatment (15 papers), Cancer Treatment and Pharmacology (12 papers), Protein Degradation and Inhibitors (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers), Acute Myeloid Leukemia Research (8 papers) and Microtubule and mitosis dynamics (7 papers). The work is most often cited by research in Hematology (2.4k citations), Genetics (619 citations), Oncology (1.2k citations), Molecular Biology (2.0k citations) and Pathology and Forensic Medicine (368 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, Journal of Clinical Oncology, Annals of Hematology, 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.