Daniel Ratschiller
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Glycosylation and Glycoproteins Research 1
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Daniel Betticher (13 shared papers)Jim Heighway (8 shared papers)Mathias Gugger (7 shared papers)Oliver Gautschi (6 shared papers)Martin F. Fey (5 shared papers)Rolf A. Stahel (3 shared papers)Annemarie Ziegler (3 shared papers)Shirley L. Smith (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Lung Cancer (3 papers)British Journal of Cancer (3 papers)Blood (2 papers)Oncogene (2 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Daniel Ratschiller
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 419
- Hematology 209
- Genetics 161
- Oncology 379
- Pathology and Forensic Medicine 159
Countries citing papers authored by Daniel Ratschiller
This map shows the geographic impact of Daniel Ratschiller'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 Daniel Ratschiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ratschiller more than expected).
Fields of papers citing papers by Daniel Ratschiller
This network shows the impact of papers produced by Daniel Ratschiller. 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 Daniel Ratschiller. The network helps show where Daniel Ratschiller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ratschiller, 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 | 2004 | 227 | |
| 2 | 2006 | 211 | |
| 3 | 2005 | 185 | |
| 4 | 2002 | 121 | |
| 5 | 2005 | 121 | |
| 6 | 2003 | 92 | |
| 7 | 2007 | 78 | |
| 8 | 2003 | 67 | |
| 9 | 1997 | 37 | |
| 10 | 2004 | 36 | |
| 11 | 2006 | 35 | |
| 12 | 2002 | 30 | |
| 13 | 2010 | 26 | |
| 14 | 1998 | 24 | |
| 15 | 1998 | 23 | |
| 16 | 2011 | 11 | |
| 17 | 2011 | 5 | |
| 18 | [2-CDA in treatment of hairy cell leukemia: a comparison between intravenous and subcutaneous administration. Swiss Study Group of Applied Cancer Research]. | 1998 | 1 |
About Daniel Ratschiller
Daniel Ratschiller is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Immunology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (419 citations), Hematology (209 citations), Genetics (161 citations), Oncology (379 citations) and Pathology and Forensic Medicine (159 citations). Daniel Ratschiller has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Daniel Betticher, Jim Heighway, Mathias Gugger, Oliver Gautschi, Martin F. Fey, Rolf A. Stahel, Annemarie Ziegler, Shirley L. Smith, Beatrice U. Mueller and Elisabeth Oppliger Leibundgut. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, British Journal of Cancer, Blood and Oncogene.
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.