Z. Zu
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Virus-based gene therapy research
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 2
- Chronic Myeloid Leukemia Treatments 1
- Hematopoietic Stem Cell Transplantation 1
-
- interferon and immune responses 1
- Co-authors
- Siqing Fu (4 shared papers)David F. Claxton (2 shared papers)Laura R. Goldberg (1 shared paper)Debra Ellerson (1 shared paper)Michael W. Thomas (1 shared paper)WF Anderson (1 shared paper)Elie G. Hanania (3 shared papers)A. B. Deisseroth (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Blood (1 paper)Complementary Therapies in Medicine (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Z. Zu
6 papers receiving 636 citations
Peers
Comparison fields: 5 of 50
- Hematology 272
- Genetics 110
- Genetics 272
- Oncology 243
- Immunology 92
Countries citing papers authored by Z. Zu
This map shows the geographic impact of Z. Zu'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 Z. Zu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Zu more than expected).
Fields of papers citing papers by Z. Zu
This network shows the impact of papers produced by Z. Zu. 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 Z. Zu. The network helps show where Z. Zu may publish in the future.
Co-authors
The 18 scholars most cited alongside Z. Zu, 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 | 1994 | 421 | |
| 2 | 1996 | 129 | |
| 3 | Resistance to taxol chemotherapy produced in mouse marrow cells by safety-modified retroviruses containing a human MDR-1 transcription unit. | 1995 | 72 |
| 4 | Chemotherapy resistance to taxol in clonogenic progenitor cells following transduction of CD34 selected marrow and peripheral blood cells with a retrovirus that contains the MDR-1 chemotherapy resistance gene. | 1995 | 37 |
| 5 | PML/RARalpha, a fusion protein in acute promyelocytic leukemia, prevents growth factor withdrawal-induced apoptosis in TF-1 cells. | 1995 | 18 |
| 6 | 2024 | 7 |
About Z. Zu
Z. Zu is a scholar working on Hematology, Immunology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 6 papers that have together received 684 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), interferon and immune responses (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (272 citations), Genetics (110 citations), Genetics (272 citations), Oncology (243 citations) and Immunology (92 citations). Z. Zu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Siqing Fu, David F. Claxton, Laura R. Goldberg, Debra Ellerson, Michael W. Thomas, WF Anderson, Elie G. Hanania, A. B. Deisseroth, Igor B. Roninson and Michael Andreeff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Complementary Therapies in Medicine and PubMed.
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.