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
-
- Mechanisms of cancer metastasis 1
- DNA Repair Mechanisms 1
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- Chronic Myeloid Leukemia Treatments 1
- Acute Myeloid Leukemia Research 1
- Co-authors
- Siqing Fu (4 shared papers)David F. Claxton (2 shared papers)Debra Ellerson (1 shared paper)Laura Goldberg (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
- Blood (1 paper)Journal of Clinical Oncology (1 paper)Complementary Therapies in Medicine (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Z. Zu
5 papers receiving 488 citations
Peers
Comparison fields: 5 of 49
- Hematology 226
- Genetics 85
- Oncology 171
- Genetics 174
- Immunology 69
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 22 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 | 394 | |
| 2 | Resistance to taxol chemotherapy produced in mouse marrow cells by safety-modified retroviruses containing a human MDR-1 transcription unit. | 1995 | 65 |
| 3 | 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 | 33 |
| 4 | PML/RARalpha, a fusion protein in acute promyelocytic leukemia, prevents growth factor withdrawal-induced apoptosis in TF-1 cells. | 1995 | 14 |
| 5 | 2024 | 7 | |
| 6 | 2011 | 0 |
About Z. Zu
Z. Zu is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 6 papers that have together received 513 indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Acute Myeloid Leukemia Research (1 paper), interferon and immune responses (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (226 citations), Genetics (85 citations), Oncology (171 citations), Genetics (174 citations) and Immunology (69 citations). Z. Zu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Siqing Fu, David F. Claxton, Debra Ellerson, Laura Goldberg, Michael W. Thomas, WF Anderson, Elie G. Hanania, A. B. Deisseroth, Igor B. Roninson and Michael Andreeff. Their work appears in journals such as Blood, Journal of Clinical Oncology, 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.