Lei Wei
Impact in
- Immunology top 5%
- interferon and immune responses
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 14
- Co-authors
- Yu L. LeiJin XuKyong Soo ParkKai HanJutaek NamYao XuYu ZhangXingwu Zhou
- Journals
- Oncotarget (5 papers)Human Genomics (4 papers)Blood (3 papers)Cancers (2 papers)BMC Medical Genomics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lei Wei
65 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 465
- Cancer Research 313
- Obstetrics and Gynecology 106
- Biotechnology 109
- Dermatology 111
Countries citing papers authored by Lei Wei
This map shows the geographic impact of Lei Wei'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 Lei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wei more than expected).
Fields of papers citing papers by Lei Wei
This network shows the impact of papers produced by Lei Wei. 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 Lei Wei. The network helps show where Lei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Wei, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 1 | |
| 9 | Amplifying STING activation by cyclic dinucleotide–manganese particles for local and systemic cancer metalloimmunotherapy Hit paper breakdown → | 2021 | 597 |
| 10 | 2020 | 35 | |
| 11 | 2019 | 80 | |
| 12 | 2018 | 3 | |
| 13 | 2016 | 152 | |
| 14 | 2016 | 33 | |
| 15 | 2016 | 8 | |
| 16 | 2015 | 20 | |
| 17 | Avoiding the language-as-a-fixed-effect fallacy : How to estimate outcomes of linear mixed models | 2014 | 3 |
| 18 | 2014 | 36 | |
| 19 | [Study on functions and mechanism of curcumin in inducing gastric carcinoma BGC apoptosis]. | 2011 | 6 |
| 20 | 2005 | 28 |
About Lei Wei
Lei Wei is a scholar working on Cancer Research, Applied Microbiology and Biotechnology, Sensory Systems, Molecular Biology and Genetics, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Genetic factors in colorectal cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Sarcoma Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (465 citations), Cancer Research (313 citations), Obstetrics and Gynecology (106 citations), Biotechnology (109 citations) and Dermatology (111 citations). Lei Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yu L. Lei, Jin Xu, Kyong Soo Park, Kai Han, Jutaek Nam, Yao Xu, Yu Zhang, Xingwu Zhou, Xiaoqi Sun and James J. Moon. Their work appears in journals such as Oncotarget, Human Genomics, Blood, Cancers and BMC Medical Genomics.
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.