W Zhang
- Cancer Research top 10%
- Oncology top 10%
- Cancer-related Molecular Pathways 3
- Hematology top 10%
- Acute Myeloid Leukemia Research 3
- Immunology top 10%
- Genetics top 10%
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- Retinoids in leukemia and cellular processes 3
- Epigenetics and DNA Methylation 2
- RNA Interference and Gene Delivery 2
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- Telomeres, Telomerase, and Senescence 3
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- Cancer Research and Treatments 2
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- Neuroblastoma Research and Treatments 2
- Co-authors
- Jinyun LiuFangyu GuoY WangSamuel C. MokFengxia XueMarina KonoplevaTeresa McQueenMichael Andreeff
- Cited by
- Cancer ResearchOncologyHematology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (2 papers)Oncogene (4 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
W Zhang
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 75
- Cancer Research 259
- Oncology 437
- Hematology 144
- Immunology 225
- Genetics 90
Countries citing papers authored by W Zhang
This map shows the geographic impact of W Zhang'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 W Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Zhang more than expected).
Fields of papers citing papers by W Zhang
This network shows the impact of papers produced by W Zhang. 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 W Zhang. The network helps show where W Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W Zhang, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 17 | |
| 4 | Association between clinicopathological features and survival in patients with primary and paired metastatic colorectal cancer and KRAS mutation | 2017 | 1 |
| 5 | 2016 | 78 | |
| 6 | 2015 | 360 | |
| 7 | 2014 | 83 | |
| 8 | 2013 | 49 | |
| 9 | 2010 | 31 | |
| 10 | 2008 | 121 | |
| 11 | 2005 | 28 | |
| 12 | 2000 | 26 | |
| 13 | 1999 | 28 | |
| 14 | 1997 | 2 | |
| 15 | 1997 | 2 | |
| 16 | High levels of constitutive WAF1/Cip1 protein are associated with chemoresistance in acute myelogenous leukemia. | 1995 | 86 |
| 17 | 1994 | 60 | |
| 18 | 1994 | 3 | |
| 19 | Clinical implications of decreased retinoblastoma protein expression in acute myelogenous leukemia. | 1992 | 36 |
About W Zhang
W Zhang is a scholar working on Oncology, Hematology and Biotechnology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer Research and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (259 citations), Oncology (437 citations) and Hematology (144 citations). W Zhang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Jinyun Liu, Fangyu Guo, Y Wang, Samuel C. Mok, Fengxia Xue, Marina Konopleva, Teresa McQueen, Michael Andreeff, A. B. Deisseroth and David F. Claxton. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Oncogene.
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.