Feng Meng
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 1
-
- Chronic Myeloid Leukemia Treatments 5
- Co-authors
- Ji Yuan Wu (5 shared papers)Nicholas J. Donato (5 shared papers)Moshe Talpaz (5 shared papers)William G. Bornmann (2 shared papers)Zhenghong Peng (2 shared papers)Jack A. Roth (4 shared papers)Mourad Majidi (4 shared papers)Ling Yuan Kong (2 shared papers)
- Journals
- Blood (3 papers)Molecular Cancer Therapeutics (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Insects (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Feng Meng
16 papers receiving 522 citations
Peers
Comparison fields: 5 of 73
- Hematology 182
- Genetics 146
- Rheumatology 98
- Oncology 155
- Geriatrics and Gerontology 17
Countries citing papers authored by Feng Meng
This map shows the geographic impact of Feng Meng'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 Feng Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Meng more than expected).
Fields of papers citing papers by Feng Meng
This network shows the impact of papers produced by Feng Meng. 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 Feng Meng. The network helps show where Feng Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Meng, 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 | 2008 | 121 | |
| 2 | 2019 | 108 | |
| 3 | 2008 | 84 | |
| 4 | Effective therapy of metastatic ovarian cancer with an oncolytic herpes simplex virus incorporating two membrane fusion mechanisms. | 2003 | 53 |
| 5 | 2011 | 30 | |
| 6 | 2002 | 28 | |
| 7 | 2002 | 27 | |
| 8 | 2015 | 27 | |
| 9 | 2018 | 19 | |
| 10 | 2022 | 16 | |
| 11 | 2017 | 6 | |
| 12 | 2005 | 6 | |
| 13 | 2008 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2004 | 1 |
About Feng Meng
Feng Meng is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Plant Science, having authored 16 papers that have together received 531 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (2 papers), Eosinophilic Disorders and Syndromes (2 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hematology (182 citations), Genetics (146 citations), Rheumatology (98 citations), Oncology (155 citations) and Geriatrics and Gerontology (17 citations). Feng Meng has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Ji Yuan Wu, Nicholas J. Donato, Moshe Talpaz, William G. Bornmann, Zhenghong Peng, Jack A. Roth, Mourad Majidi, Ling Yuan Kong, Henry Y. Lu and Betty Lamothe. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, JNCI Journal of the National Cancer Institute, Insects and Oncotarget.
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.