Wenting Wu
Impact in
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
- Genetics 49
- Glioma Diagnosis and Treatment 24
- Chronic Lymphocytic Leukemia Research 12
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
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- Coastal and Marine Dynamics 13
- Co-authors
- Bo TianYunxuan ZhouJann N. SarkariaBrett L. CarlsonMark A. SchroederPaul A. DeckerGaspar J. KitangeZhaoqing Yang
- Journals
- Blood (11 papers)Journal of Clinical Oncology (8 papers)Remote Sensing (6 papers)Neuro-Oncology (5 papers)Journal of Neuro-Oncology (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wenting Wu
110 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Genetics 2.0k
- Hematology 438
- Earth-Surface Processes 241
- Cancer Research 499
- Oncology 596
Countries citing papers authored by Wenting Wu
This map shows the geographic impact of Wenting Wu'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 Wenting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenting Wu more than expected).
Fields of papers citing papers by Wenting Wu
This network shows the impact of papers produced by Wenting Wu. 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 Wenting Wu. The network helps show where Wenting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenting Wu, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 17 | |
| 12 | The trends of coastal reclamation in China in the past three decades | 2016 | 16 |
| 13 | 2012 | 125 | |
| 14 | 2011 | 99 | |
| 15 | 2010 | 18 | |
| 16 | 2010 | 67 | |
| 17 | 2010 | 134 | |
| 18 | 2010 | 43 | |
| 19 | 2010 | 28 | |
| 20 | Probing into the green city space——the construction of man-made wetland garden in the city overpass ground landscape design | 2006 | 2 |
About Wenting Wu
Wenting Wu is a scholar working on Genetics, Earth-Surface Processes, Hematology, Global and Planetary Change and Ecology, having authored 116 papers that have together received 4.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Coastal wetland ecosystem dynamics (21 papers), Land Use and Ecosystem Services (18 papers), Coastal and Marine Dynamics (13 papers), Chronic Lymphocytic Leukemia Research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Lymphoma Diagnosis and Treatment (11 papers) and Brain Metastases and Treatment (10 papers). The work is most often cited by research in Genetics (2.0k citations), Hematology (438 citations), Earth-Surface Processes (241 citations), Cancer Research (499 citations) and Oncology (596 citations). Wenting Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bo Tian, Yunxuan Zhou, Jann N. Sarkaria, Brett L. Carlson, Mark A. Schroeder, Paul A. Decker, Gaspar J. Kitange, Zhaoqing Yang, Caterina Giannini and C. David James. Their work appears in journals such as Blood, Journal of Clinical Oncology, Remote Sensing, Neuro-Oncology and Journal of Neuro-Oncology.
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.