Weiguang Wang
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 8
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Oncology top 5%
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- Alcohol Consumption and Health Effects 10
- Molecular Biology top 5%
- Genomics, phytochemicals, and oxidative stress 8
- Histone Deacetylase Inhibitors Research 5
- Hematology top 5%
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- Autophagy in Disease and Therapy 11
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- Endoplasmic Reticulum Stress and Disease 6
- Co-authors
- James T. CassidyVinodh KannappanAngel L. ArmesillaBing XuHoward L. McLeodJohn L. DarlingJulia BrownElaina Collie–Duguid
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (2 papers)PLoS ONE (1 paper)
- Partner nations
- United KingdomChinaSpain
In The Last Decade
Weiguang Wang
78 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 631
- Oncology 795
- Pathology and Forensic Medicine 428
- Molecular Biology 1.4k
- Hematology 208
Countries citing papers authored by Weiguang Wang
This map shows the geographic impact of Weiguang Wang'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 Weiguang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiguang Wang more than expected).
Fields of papers citing papers by Weiguang Wang
This network shows the impact of papers produced by Weiguang Wang. 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 Weiguang Wang. The network helps show where Weiguang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiguang Wang, 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 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 23 | |
| 7 | 2019 | 21 | |
| 8 | 2017 | 110 | |
| 9 | The efficacy of high-dose versus moderate-dose chemotherapy in treating osteosarcoma: a systematic review and meta-analysis. | 2015 | 10 |
| 10 | 2014 | 1 | |
| 11 | 2014 | 33 | |
| 12 | 2014 | 6 | |
| 13 | Multinucleation and cell dysfunction induced by amorphous silica nanoparticles in an L-02 human hepatic cell line | 2013 | 0 |
| 14 | 2013 | 58 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 37 | |
| 17 | 2012 | 97 | |
| 18 | 2011 | 349 | |
| 19 | 2005 | 13 | |
| 20 | 2004 | 95 |
About Weiguang Wang
Weiguang Wang is a scholar working on Cancer Research, Pathology and Forensic Medicine and Hematology, having authored 81 papers that have together received 2.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Alcohol Consumption and Health Effects (10 papers), Genomics, phytochemicals, and oxidative stress (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cancer-related molecular mechanisms research (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Histone Deacetylase Inhibitors Research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (631 citations), Oncology (795 citations) and Pathology and Forensic Medicine (428 citations). Weiguang Wang has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include James T. Cassidy, Vinodh Kannappan, Angel L. Armesilla, Bing Xu, Howard L. McLeod, John L. Darling, Julia Brown, Elaina Collie–Duguid, J Cassidy and Christopher McConville. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.