Rudolf Weide
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 37
- Cancer Treatment and Pharmacology 11
- Lung Cancer Research Studies 7
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- Advanced Breast Cancer Therapies 12
- Brain Metastases and Treatment 8
- Lung Cancer Treatments and Mutations 8
- Co-authors
- H. Köppler (41 shared papers)Jochen Heymanns (41 shared papers)Jörg Thomalla (24 shared papers)K. Havemann (10 shared papers)W. Lorenz (1 shared paper)K. Ehlenz (1 shared paper)Eduard M. Walthers (1 shared paper)Martine Klausmann (2 shared papers)
- Journals
- British Journal of Haematology (7 papers)Blood (6 papers)Annals of Hematology (5 papers)Annals of Oncology (5 papers)Cancer Research (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Rudolf Weide
86 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Genetics 312
- Pathology and Forensic Medicine 312
- Hematology 188
- Oncology 382
- Rheumatology 122
Countries citing papers authored by Rudolf Weide
This map shows the geographic impact of Rudolf Weide'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 Rudolf Weide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Weide more than expected).
Fields of papers citing papers by Rudolf Weide
This network shows the impact of papers produced by Rudolf Weide. 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 Rudolf Weide. The network helps show where Rudolf Weide may publish in the future.
Co-authors
The 25 scholars most cited alongside Rudolf Weide, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 78 | |
| 2 | 2003 | 69 | |
| 3 | 2018 | 67 | |
| 4 | 1996 | 63 | |
| 5 | 2016 | 53 | |
| 6 | 2004 | 49 | |
| 7 | 2014 | 35 | |
| 8 | 1992 | 33 | |
| 9 | 2010 | 32 | |
| 10 | 2008 | 32 | |
| 11 | 2000 | 31 | |
| 12 | 2004 | 27 | |
| 13 | 2010 | 27 | |
| 14 | The role of the MDR-1/P-170 mechanism in the development of multidrug resistance in chronic myeloid leukemia. | 1990 | 27 |
| 15 | 1997 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 1996 | 22 | |
| 18 | 2002 | 21 | |
| 19 | 2019 | 19 | |
| 20 | 1993 | 18 |
About Rudolf Weide
Rudolf Weide is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Pathology and Forensic Medicine and Hematology, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (18 papers), Advanced Breast Cancer Therapies (12 papers), Cancer Treatment and Pharmacology (11 papers), Brain Metastases and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers), Lung Cancer Research Studies (7 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Genetics (312 citations), Pathology and Forensic Medicine (312 citations), Hematology (188 citations), Oncology (382 citations) and Rheumatology (122 citations). Rudolf Weide has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include H. Köppler, Jochen Heymanns, Jörg Thomalla, K. Havemann, W. Lorenz, K. Ehlenz, Eduard M. Walthers, Martine Klausmann, C. Dowding and Marcus Schmidt. Their work appears in journals such as British Journal of Haematology, Blood, Annals of Hematology, Annals of Oncology and Cancer Research.
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.