Mei Cong
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Protein Degradation and Inhibitors
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 9
- Oncology 12
- CAR-T cell therapy research 6
- Co-authors
- Robert J. LefkowitzLiaoyuan A. HuIain D. C. FraserJohn D. ScottWei ChenStephen J. PerryDarrel E. GollParker B. Antin
- Journals
- Journal of Biological Chemistry (6 papers)Cancer Research (6 papers)Assay and Drug Development Technologies (3 papers)Chemical Communications (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Mei Cong
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 475
- Molecular Biology 1.2k
- Cell Biology 287
- Animal Science and Zoology 78
- Oncology 193
Countries citing papers authored by Mei Cong
This map shows the geographic impact of Mei Cong'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 Mei Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Cong more than expected).
Fields of papers citing papers by Mei Cong
This network shows the impact of papers produced by Mei Cong. 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 Mei Cong. The network helps show where Mei Cong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mei Cong, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 78 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 16 | |
| 11 | 2016 | 31 | |
| 12 | 2015 | 196 | |
| 13 | 2015 | 18 | |
| 14 | 2010 | 10 | |
| 15 | 2005 | 15 | |
| 16 | 2005 | 29 | |
| 17 | 2005 | 10 | |
| 18 | 2003 | 123 | |
| 19 | 2000 | 144 | |
| 20 | 1998 | 25 |
About Mei Cong
Mei Cong is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Cell Biology, Biomaterials and Polymers and Plastics, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Receptor Mechanisms and Signaling (9 papers), CAR-T cell therapy research (6 papers), RNA Interference and Gene Delivery (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (475 citations), Molecular Biology (1.2k citations), Cell Biology (287 citations), Animal Science and Zoology (78 citations) and Oncology (193 citations). Mei Cong has collaborated with scholars based in United States, China and France. Frequent co-authors include Robert J. Lefkowitz, Liaoyuan A. Hu, Iain D. C. Fraser, John D. Scott, Wei Chen, Stephen J. Perry, Darrel E. Goll, Parker B. Antin, Fang‐Tsyr Lin and Jihee Kim. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Assay and Drug Development Technologies, Chemical Communications and Nature Communications.
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.