Kai Neben

7.7k citations
112 papers · 4.4k · h-index 42

Impact in

  • Hematology top 0.2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 1%
    • Glioma Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 64
    • Acute Myeloid Leukemia Research 8
    • Cancer Treatment and Pharmacology 12
    • Cancer Diagnosis and Treatment 8

Kai Neben

109 papers receiving 4.3k citations

Peers

Kai Neben
Comparison fields: 5 of 98
  • Hematology 2.4k
  • Genetics 647
  • Oncology 1.3k
  • Molecular Biology 2.1k
  • Pathology and Forensic Medicine 393
Replace Shmuel Yaccoby with:
Shmuel Yaccoby United States
Bruno Paiva Spain
Luen Bik To Australia
Stefan Hohaus Italy
María‐Belén Vídriales Spain
Günter Schlimok Germany
Thomas Moehler Germany
Hendrik De Raeve Belgium
Sergej Konoplev United States
Jatin J. Shah United States
Kai Neben relative to Shmuel Yaccoby United States Shmuel Yaccoby's profile →
Citations per field
00.5×4.5×
Shmuel Yaccoby · 1×
Citations per year

Countries citing papers authored by Kai Neben

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kai Neben Line = papers co-authored together Kai Neben links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010267
2 2009198
3 2005191
4 2013173
5 2013161
6 2010152
7 2004126
8 2003123
9 2002123
10 2010120
11 2011112
12 2004100
13 200196
14 200991
15 201291
16
Dose-dependent effect of thalidomide on overall survival in relapsed multiple myeloma.
200286
17 201479
18 200269
19 201469
20 200364

About Kai Neben

Kai Neben is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 112 papers that have together received 4.4k 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), Cancer Diagnosis and Treatment (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Hematology (2.4k citations), Genetics (647 citations), Oncology (1.3k citations), Molecular Biology (2.1k citations) and Pathology and Forensic Medicine (393 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.

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