Lang Bu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Immune cells in cancer
- interferon and immune responses
Papers in
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- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 2
- PI3K/AKT/mTOR signaling in cancer 2
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- interferon and immune responses 6
- Co-authors
- Jianping Guo (9 shared papers)Qiwei Jiang (8 shared papers)Deyin Guo (7 shared papers)Bing Gao (4 shared papers)Ying Lin (3 shared papers)Xinghuan Wang (1 shared paper)Xiaohua Leng (1 shared paper)Hu Zhou (1 shared paper)
- Journals
- Cancer Research (2 papers)Scientific Reports (1 paper)Cellular and Molecular Immunology (1 paper)British Journal of Cancer (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lang Bu
18 papers receiving 374 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 78
- Immunology 97
- Oncology 96
- Molecular Biology 208
- Nutrition and Dietetics 27
Countries citing papers authored by Lang Bu
This map shows the geographic impact of Lang Bu'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 Lang Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Bu more than expected).
Fields of papers citing papers by Lang Bu
This network shows the impact of papers produced by Lang Bu. 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 Lang Bu. The network helps show where Lang Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang Bu, 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 | 2016 | 64 | |
| 2 | 2021 | 57 | |
| 3 | 2012 | 31 | |
| 4 | 2023 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2023 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2024 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 0 |
About Lang Bu
Lang Bu is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Cancer Research, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Cancer-related molecular mechanisms research (3 papers), Ubiquitin and proteasome pathways (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Fatty Acid Research and Health (2 papers), Cancer Mechanisms and Therapy (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cancer Research (78 citations), Immunology (97 citations), Oncology (96 citations), Molecular Biology (208 citations) and Nutrition and Dietetics (27 citations). Lang Bu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianping Guo, Qiwei Jiang, Deyin Guo, Bing Gao, Ying Lin, Xinghuan Wang, Xiaohua Leng, Hu Zhou, Xueji Wu and Ke Wu. Their work appears in journals such as Cancer Research, Scientific Reports, Cellular and Molecular Immunology, British Journal of Cancer and Cell Death and Disease.
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.