Longlong Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
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- RNA modifications and cancer 6
- Cancer-related gene regulation 3
- Ubiquitin and proteasome pathways 2
- Wnt/β-catenin signaling in development and cancer 2
- RNA Research and Splicing 2
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- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Yi Shi (17 shared papers)Rong Xiang (14 shared papers)Yongjun Piao (11 shared papers)Yunshan Zhang (1 shared paper)Wei Zhou (1 shared paper)Wanxue Xu (1 shared paper)Jin Zhao (3 shared papers)Xiaoshuang Wang (3 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (4 papers)OncoTargets and Therapy (2 papers)Frontiers in Oncology (2 papers)Theranostics (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Longlong Wang
22 papers receiving 552 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 138
- Toxicology 16
- Molecular Biology 302
- Biological Psychiatry 8
- Oncology 73
Countries citing papers authored by Longlong Wang
This map shows the geographic impact of Longlong 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 Longlong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longlong Wang more than expected).
Fields of papers citing papers by Longlong Wang
This network shows the impact of papers produced by Longlong 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 Longlong Wang. The network helps show where Longlong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longlong 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 110 | |
| 2 | 2019 | 104 | |
| 3 | 2020 | 90 | |
| 4 | 2021 | 31 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 23 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2025 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Longlong Wang
Longlong Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Surgery, having authored 24 papers that have together received 556 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers), Cancer-related gene regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (138 citations), Toxicology (16 citations), Molecular Biology (302 citations), Biological Psychiatry (8 citations) and Oncology (73 citations). Longlong Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Shi, Rong Xiang, Yongjun Piao, Yunshan Zhang, Wei Zhou, Wanxue Xu, Jin Zhao, Xiaoshuang Wang, Xiyang Li and Gengyi Zou. Their work appears in journals such as Signal Transduction and Targeted Therapy, OncoTargets and Therapy, Frontiers in Oncology, Theranostics and Cancer Letters.
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.