Wanting Lei
Impact in
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- Cancer Immunotherapy and Biomarkers
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
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- Ubiquitin and proteasome pathways 1
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- Ferroptosis and cancer prognosis 3
- Renal cell carcinoma treatment 1
- Co-authors
- Kexun Zhou (8 shared papers)Jingxuan Wang (2 shared papers)Kun Gao (2 shared papers)Qijia Xuan (2 shared papers)Lina Dong (2 shared papers)Hong Zhu (1 shared paper)Qiu Li (1 shared paper)Liangliang Bai (5 shared papers)
- Journals
- Frontiers in Oncology (2 papers)IEEE Internet of Things Journal (1 paper)npj Biofilms and Microbiomes (1 paper)Oncotarget (1 paper)Advances in Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Wanting Lei
11 papers receiving 228 citations
Wanting Lei's Hit Papers
Peers
Comparison fields: 5 of 47
- Oncology 75
- Immunology 58
- Cancer Research 32
- Pathology and Forensic Medicine 28
- Pulmonary and Respiratory Medicine 32
Countries citing papers authored by Wanting Lei
This map shows the geographic impact of Wanting Lei'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 Wanting Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Lei more than expected).
Fields of papers citing papers by Wanting Lei
This network shows the impact of papers produced by Wanting Lei. 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 Wanting Lei. The network helps show where Wanting Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting Lei, 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 | 59 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 40 | |
| 4 | Gut microbiota shapes cancer immunotherapy responses Hit paper breakdown → | 2025 | 34 |
| 5 | 2025 | 21 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Wanting Lei
Wanting Lei is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Epidemiology, having authored 12 papers that have together received 229 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Autophagy in Disease and Therapy (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Ubiquitin and proteasome pathways (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Oncology (75 citations), Immunology (58 citations), Cancer Research (32 citations), Pathology and Forensic Medicine (28 citations) and Pulmonary and Respiratory Medicine (32 citations). Wanting Lei has collaborated with scholars based in China and United States. Frequent co-authors include Kexun Zhou, Jingxuan Wang, Kun Gao, Qijia Xuan, Lina Dong, Hong Zhu, Qiu Li, Liangliang Bai, Qiu Li and Wei‐Ting Liao. Their work appears in journals such as Frontiers in Oncology, IEEE Internet of Things Journal, npj Biofilms and Microbiomes, Oncotarget and Advances in Therapy.
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.