Meng Lu
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Pluripotent Stem Cells Research 6
- Signaling Pathways in Disease 3
- Extracellular vesicles in disease 3
- RNA Interference and Gene Delivery 2
- Immunology 11
- Immune cells in cancer 4
- Co-authors
- SF Chen (9 shared papers)Meng Xiang (9 shared papers)Xiaoming Zhang (4 shared papers)Jiaqiang Ma (3 shared papers)Shyamal Goswami (2 shared papers)Dandan Zhang (2 shared papers)Fangming Zhu (2 shared papers)Ying Qin (1 shared paper)
- Journals
- Journal of Immunology Research (2 papers)Cancer Letters (1 paper)Emerging Microbes & Infections (1 paper)Stem Cell Research & Therapy (1 paper)Experimental Hematology and Oncology (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Meng Lu
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Immunology 288
- Oncology 286
- Cancer Research 133
- Molecular Biology 445
- Hepatology 45
Countries citing papers authored by Meng Lu
This map shows the geographic impact of Meng 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 Meng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Lu more than expected).
Fields of papers citing papers by Meng Lu
This network shows the impact of papers produced by Meng 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 Meng Lu. The network helps show where Meng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 238 | |
| 2 | 2011 | 147 | |
| 3 | 2011 | 81 | |
| 4 | 2019 | 58 | |
| 5 | 2021 | 44 | |
| 6 | 2018 | 43 | |
| 7 | 2015 | 41 | |
| 8 | 2014 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2016 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2020 | 23 | |
| 14 | 2018 | 21 | |
| 15 | 2023 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2023 | 14 |
About Meng Lu
Meng Lu is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Infectious Diseases, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Immune cells in cancer (4 papers), Mycobacterium research and diagnosis (4 papers), Signaling Pathways in Disease (3 papers), Extracellular vesicles in disease (3 papers), Tuberculosis Research and Epidemiology (3 papers), RNA Interference and Gene Delivery (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Immunology (288 citations), Oncology (286 citations), Cancer Research (133 citations), Molecular Biology (445 citations) and Hepatology (45 citations). Meng Lu has collaborated with scholars based in China, United States and India. Frequent co-authors include SF Chen, Meng Xiang, Xiaoming Zhang, Jiaqiang Ma, Shyamal Goswami, Dandan Zhang, Fangming Zhu, Ying Qin, Xiaoyang Luo and Teng Li. Their work appears in journals such as Journal of Immunology Research, Cancer Letters, Emerging Microbes & Infections, Stem Cell Research & Therapy and Experimental Hematology and Oncology.
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.