Zhen Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
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- Extracellular vesicles in disease 3
- Co-authors
- Bingfeng Zuo (5 shared papers)Xianjun Gao (5 shared papers)HaiFang Yin (5 shared papers)Quan Rao (3 shared papers)Renwei Jing (4 shared papers)Qi Han (3 shared papers)Zhili Liu (2 shared papers)A‐Bin You (3 shared papers)
- Journals
- Nature Communications (4 papers)Hepatology (2 papers)Autophagy (2 papers)Experimental Dermatology (1 paper)Journal of Dermatological Science (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhen Lu
20 papers receiving 1.1k citations
Zhen Lu's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 370
- Immunology 404
- Molecular Biology 710
- Dermatology 83
- Oncology 230
Countries citing papers authored by Zhen Lu
This map shows the geographic impact of Zhen Lu'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 Zhen Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Lu more than expected).
Fields of papers citing papers by Zhen Lu
This network shows the impact of papers produced by Zhen Lu. 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 Zhen Lu. The network helps show where Zhen Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen Lu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dendritic cell-derived exosomes elicit tumor regression in autochthonous hepatocellular carcinoma mouse models Hit paper breakdown → | 2017 | 339 |
| 2 | 2016 | 239 | |
| 3 | Desmoplastic stroma restricts T cell extravasation and mediates immune exclusion and immunosuppression in solid tumors Hit paper breakdown → | 2023 | 151 |
| 4 | 2020 | 143 | |
| 5 | 2007 | 67 | |
| 6 | 2022 | 61 | |
| 7 | 2006 | 49 | |
| 8 | 2022 | 26 | |
| 9 | 2018 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2024 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 1999 | 2 |
About Zhen Lu
Zhen Lu is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Plant Science, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Extracellular vesicles in disease (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Advancements in Transdermal Drug Delivery (2 papers) and Plant responses to water stress (2 papers). The work is most often cited by research in Cancer Research (370 citations), Immunology (404 citations), Molecular Biology (710 citations), Dermatology (83 citations) and Oncology (230 citations). Zhen Lu has collaborated with scholars based in China and United States. Frequent co-authors include Bingfeng Zuo, Xianjun Gao, HaiFang Yin, Quan Rao, Renwei Jing, Qi Han, Zhili Liu, A‐Bin You, Hongxing Guo and Chenxuan Wu. Their work appears in journals such as Nature Communications, Hepatology, Autophagy, Experimental Dermatology and Journal of Dermatological Science.
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.