V Ruppert
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Drug Transport and Resistance Mechanisms
Papers in ⓘ
-
- Acute Myeloid Leukemia Research 3
- Oncology 7
- Cancer-related Molecular Pathways 3
- Co-authors
- Bernd Dörken (12 shared papers)Christian Wuchter (10 shared papers)Leonid Karawajew (12 shared papers)Martin Schrappe (5 shared papers)W-D Ludwig (4 shared papers)Richard Ratei (4 shared papers)Torsten Haferlach (3 shared papers)Claudia Schoch (3 shared papers)
- Journals
- Leukemia (5 papers)Blood (3 papers)British Journal of Haematology (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Cancer Gene Therapy (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
V Ruppert
13 papers receiving 543 citations
Peers
Comparison fields: 5 of 62
- Hematology 205
- Oncology 205
- Immunology 130
- Public Health, Environmental and Occupational Health 176
- Genetics 48
Countries citing papers authored by V Ruppert
This map shows the geographic impact of V Ruppert'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 V Ruppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Ruppert more than expected).
Fields of papers citing papers by V Ruppert
This network shows the impact of papers produced by V Ruppert. 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 V Ruppert. The network helps show where V Ruppert may publish in the future.
Co-authors
The 25 scholars most cited alongside V Ruppert, 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 | Clinical significance of P-glycoprotein expression and function for response to induction chemotherapy, relapse rate and overall survival in acute leukemia. | 2000 | 114 |
| 2 | 2000 | 69 | |
| 3 | 1999 | 65 | |
| 4 | 2001 | 63 | |
| 5 | 2001 | 52 | |
| 6 | 2000 | 51 | |
| 7 | 1997 | 43 | |
| 8 | 2000 | 36 | |
| 9 | 2002 | 35 | |
| 10 | 2002 | 16 | |
| 11 | 2000 | 5 | |
| 12 | 2002 | 2 | |
| 13 | 2003 | 1 |
About V Ruppert
V Ruppert is a scholar working on Hematology, Oncology, Biotechnology, Immunology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 552 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (5 papers), Cell death mechanisms and regulation (5 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related Molecular Pathways (3 papers), Acute Myeloid Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Research and Treatments (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Hematology (205 citations), Oncology (205 citations), Immunology (130 citations), Public Health, Environmental and Occupational Health (176 citations) and Genetics (48 citations). V Ruppert has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Bernd Dörken, Christian Wuchter, Leonid Karawajew, Martin Schrappe, W-D Ludwig, Richard Ratei, Torsten Haferlach, Claudia Schoch, Jochen Harbott and WD Ludwig. Their work appears in journals such as Leukemia, Blood, British Journal of Haematology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Cancer Gene Therapy.
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.