Mei Cong
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Protein Degradation and Inhibitors
Papers in
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- Receptor Mechanisms and Signaling 9
- RNA Interference and Gene Delivery 4
- Protein Kinase Regulation and GTPase Signaling 4
- Oncology 11
- CAR-T cell therapy research 6
- Co-authors
- Robert J. Lefkowitz (7 shared papers)Liaoyuan A. Hu (4 shared papers)Iain D. C. Fraser (2 shared papers)John D. Scott (2 shared papers)Wei Chen (3 shared papers)Stephen J. Perry (2 shared papers)Darrel E. Goll (2 shared papers)Parker B. Antin (2 shared papers)
- Journals
- Cancer Research (6 papers)Journal of Biological Chemistry (6 papers)Assay and Drug Development Technologies (3 papers)Chemical Communications (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Mei Cong
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 467
- Molecular Biology 1.2k
- Cell Biology 278
- Animal Science and Zoology 75
- Oncology 180
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-authors
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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 203 | |
| 2 | 2000 | 193 | |
| 3 | 2000 | 145 | |
| 4 | 2001 | 139 | |
| 5 | 2003 | 124 | |
| 6 | 2001 | 116 | |
| 7 | 1998 | 94 | |
| 8 | 2020 | 82 | |
| 9 | 2002 | 82 | |
| 10 | 2002 | 47 | |
| 11 | 2016 | 32 | |
| 12 | 2005 | 29 | |
| 13 | 2020 | 25 | |
| 14 | 1998 | 25 | |
| 15 | 2018 | 25 | |
| 16 | 2021 | 21 | |
| 17 | 2018 | 18 | |
| 18 | 2015 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2015 | 18 |
About Mei Cong
Mei Cong is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cell Biology, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (6 papers), RNA Interference and Gene Delivery (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Dendrimers and Hyperbranched Polymers (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (467 citations), Molecular Biology (1.2k citations), Cell Biology (278 citations), Animal Science and Zoology (75 citations) and Oncology (180 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 Yehia Daaka. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Assay and Drug Development Technologies, Chemical Communications and The Journal of Immunology.
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.