A. Krämer
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
- Oncology 20
- Cancer Diagnosis and Treatment 12
- Cancer-related Molecular Pathways 6
-
- Tumors and Oncological Cases 7
- Co-authors
- Kai Neben (6 shared papers)AD Ho (1 shared paper)Tilmann Bochtler (10 shared papers)Andreas Willer (3 shared papers)Ute Hegenbart (3 shared papers)R Hehlmann (2 shared papers)H. Löffler (3 shared papers)Anthony D. Ho (3 shared papers)
- Journals
- Leukemia (9 papers)Annals of Oncology (7 papers)European Journal of Medicinal Chemistry (1 paper)ESMO Open (1 paper)Blood Cancer Journal (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
A. Krämer
29 papers receiving 715 citations
Peers
Comparison fields: 5 of 80
- Hematology 229
- Cell Biology 185
- Oncology 251
- Genetics 83
- Pathology and Forensic Medicine 123
Countries citing papers authored by A. Krämer
This map shows the geographic impact of A. Krämer'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 A. Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Krämer more than expected).
Fields of papers citing papers by A. Krämer
This network shows the impact of papers produced by A. Krämer. 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 A. Krämer. The network helps show where A. Krämer may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Krämer, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 117 | |
| 2 | 2022 | 71 | |
| 3 | 2016 | 69 | |
| 4 | 2003 | 60 | |
| 5 | 2002 | 50 | |
| 6 | 2012 | 50 | |
| 7 | 2002 | 47 | |
| 8 | 1998 | 40 | |
| 9 | Filgrastim post-chemotherapy mobilizes more CD34+ cells with a different antigenic profile compared with use during steady-state hematopoiesis. | 1994 | 36 |
| 10 | 2015 | 29 | |
| 11 | 2005 | 25 | |
| 12 | 1999 | 24 | |
| 13 | 2016 | 14 | |
| 14 | 2001 | 13 | |
| 15 | 2023 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 1998 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2014 | 6 |
About A. Krämer
A. Krämer is a scholar working on Oncology, Pathology and Forensic Medicine, Hematology, Genetics and Molecular Biology, having authored 31 papers that have together received 723 indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (12 papers), Tumors and Oncological Cases (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer Genomics and Diagnostics (5 papers), Oral and Maxillofacial Pathology (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Microtubule and mitosis dynamics (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (229 citations), Cell Biology (185 citations), Oncology (251 citations), Genetics (83 citations) and Pathology and Forensic Medicine (123 citations). A. Krämer has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Kai Neben, AD Ho, Tilmann Bochtler, Andreas Willer, Ute Hegenbart, R Hehlmann, H. Löffler, Anthony D. Ho, Axel Benner and Hartmut Goldschmidt. Their work appears in journals such as Leukemia, Annals of Oncology, European Journal of Medicinal Chemistry, ESMO Open and Blood Cancer Journal.
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.