Ralph Wäsch
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Oncology top 2%
- Peptidase Inhibition and Analysis
Papers in
- Hematology 135
- Multiple Myeloma Research and Treatments 81
- Hematopoietic Stem Cell Transplantation 43
- Acute Myeloid Leukemia Research 32
- Oncology 63
- Cancer Treatment and Pharmacology 14
- Co-authors
- Monika Engelhardt (98 shared papers)Gabriele Ihorst (71 shared papers)Frederick R. Cross (4 shared papers)Jürgen Finke (46 shared papers)Hartmut Bertz (43 shared papers)Dirk Engelbert (2 shared papers)Heike Reinhardt (18 shared papers)Dominik Schnerch (16 shared papers)
- Journals
- Blood (23 papers)Bone Marrow Transplantation (17 papers)Haematologica (13 papers)Annals of Hematology (11 papers)British Journal of Haematology (6 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Ralph Wäsch
161 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 106
- Hematology 2.0k
- Oncology 1.1k
- Genetics 307
- Cell Biology 499
- Molecular Biology 1.5k
Countries citing papers authored by Ralph Wäsch
This map shows the geographic impact of Ralph Wäsch'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 Ralph Wäsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Wäsch more than expected).
Fields of papers citing papers by Ralph Wäsch
This network shows the impact of papers produced by Ralph Wäsch. 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 Ralph Wäsch. The network helps show where Ralph Wäsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph Wäsch, 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 187 | |
| 2 | 2017 | 183 | |
| 3 | 2016 | 126 | |
| 4 | 2005 | 121 | |
| 5 | 2009 | 104 | |
| 6 | 2007 | 95 | |
| 7 | 2011 | 93 | |
| 8 | 2009 | 77 | |
| 9 | 2009 | 73 | |
| 10 | 2018 | 72 | |
| 11 | 2018 | 65 | |
| 12 | 2013 | 64 | |
| 13 | 2015 | 63 | |
| 14 | 2000 | 63 | |
| 15 | 2017 | 62 | |
| 16 | 2005 | 60 | |
| 17 | 2018 | 57 | |
| 18 | Cell cycle control in acute myeloid leukemia. | 2012 | 55 |
| 19 | 2000 | 53 | |
| 20 | 2008 | 52 |
About Ralph Wäsch
Ralph Wäsch is a scholar working on Hematology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology, having authored 176 papers that have together received 3.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (81 papers), Hematopoietic Stem Cell Transplantation (43 papers), Acute Myeloid Leukemia Research (32 papers), Microtubule and mitosis dynamics (18 papers), Protein Degradation and Inhibitors (18 papers), Ubiquitin and proteasome pathways (15 papers), Acute Lymphoblastic Leukemia research (15 papers) and Cancer Treatment and Pharmacology (14 papers). The work is most often cited by research in Hematology (2.0k citations), Oncology (1.1k citations), Genetics (307 citations), Cell Biology (499 citations) and Molecular Biology (1.5k citations). Ralph Wäsch has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Monika Engelhardt, Gabriele Ihorst, Frederick R. Cross, Jürgen Finke, Hartmut Bertz, Dirk Engelbert, Heike Reinhardt, Dominik Schnerch, Robert Zeiser and Martina Kleber. Their work appears in journals such as Blood, Bone Marrow Transplantation, Haematologica, Annals of Hematology 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.