T. Lipp
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
-
- Chronic Lymphocytic Leukemia Research
- Blood disorders and treatments
Papers in
-
- Acute Myeloid Leukemia Research 4
- Oncology 4
- Neutropenia and Cancer Infections 3
- Co-authors
- Gerhard Ehninger (3 shared papers)Mathias Freund (2 shared papers)Peter Meyer (3 shared papers)W. Hunstein (2 shared papers)H. J. Illiger (1 shared paper)Anthony D. Ho (1 shared paper)D. Hoelzer (3 shared papers)Arnold Ganser (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Blood (1 paper)Journal of Molecular Medicine (1 paper)Haematologica (1 paper)Klinische Monatsblätter für Augenheilkunde (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
T. Lipp
9 papers receiving 282 citations
Peers
Comparison fields: 5 of 36
- Hematology 200
- Genetics 47
- Oncology 117
- Public Health, Environmental and Occupational Health 107
- Emergency Medicine 15
Countries citing papers authored by T. Lipp
This map shows the geographic impact of T. Lipp'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 T. Lipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lipp more than expected).
Fields of papers citing papers by T. Lipp
This network shows the impact of papers produced by T. Lipp. 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 T. Lipp. The network helps show where T. Lipp may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Lipp, 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 | 1988 | 116 | |
| 2 | 1995 | 90 | |
| 3 | 2007 | 32 | |
| 4 | 1990 | 20 | |
| 5 | Teniposide (VM-26) and cytosine arabinoside as consolidation therapy in adult high-risk patients with acute lymphoblastic leukemia. | 1987 | 20 |
| 6 | Combination therapy with mitoxantrone and etoposide in refractory acute myelogenous leukemia. | 1986 | 12 |
| 7 | 2012 | 4 | |
| 8 | 1990 | 2 | |
| 9 | 2008 | 1 | |
| 10 | 2009 | 0 | |
| 11 | 2012 | 0 |
About T. Lipp
T. Lipp is a scholar working on Hematology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Neutropenia and Cancer Infections (3 papers), Cancer therapeutics and mechanisms (2 papers), Neuroblastoma Research and Treatments (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Clinical Nutrition and Gastroenterology (2 papers) and Health and Medical Studies (2 papers). The work is most often cited by research in Hematology (200 citations), Genetics (47 citations), Oncology (117 citations), Public Health, Environmental and Occupational Health (107 citations) and Emergency Medicine (15 citations). T. Lipp has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Gerhard Ehninger, Mathias Freund, Peter Meyer, W. Hunstein, H. J. Illiger, Anthony D. Ho, D. Hoelzer, Arnold Ganser, Gerhard Heil and Regina Reutzel. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Molecular Medicine, Haematologica and Klinische Monatsblätter für Augenheilkunde.
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.