Li-Na Cong
- Molecular Biology top 10%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology top 5%
- Surgery
- Co-authors
- Michael J. QuonHui ChenLingamanaidu V. RavichandranMartha KirbyHoward MostowskiGuangyuan ZengYunhua LiLixin Zhou
- Topics
- Metabolism, Diabetes, and Cancer (7 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Li-Na Cong
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 984
- Physiology 448
- Cardiology and Cardiovascular Medicine 282
- Cell Biology 263
- Surgery 249
Countries citing papers authored by Li-Na Cong
This map shows the geographic impact of Li-Na 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 Li-Na Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Na Cong more than expected).
Fields of papers citing papers by Li-Na Cong
This network shows the impact of papers produced by Li-Na 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 Li-Na Cong. The network helps show where Li-Na Cong may publish in the future.
Co-authorship network of co-authors of Li-Na Cong
This figure shows the co-authorship network connecting the top 25 collaborators of Li-Na Cong. A scholar is included among the top collaborators of Li-Na Cong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li-Na Cong. Li-Na Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | [Emodin-induced increase in expression of β1 subunit of BKCa channel mediates relaxation of cerebral basilar artery in spontaneously hypertensive rats]. | 1 |
| 3 | 6 | |
| 4 | 26 | |
| 5 | [Influence of substance P on the release of histamine in the human hypertrophic scar tissue]. | 4 |
| 6 | 51 | |
| 7 | Roles for Insulin Receptor, PI3-Kinase, and Akt in Insulin-Signaling Pathways Related to Production of Nitric Oxide in Human Vascular Endothelial Cellsbreakdown → | 618 |
| 8 | 15 | |
| 9 | 53 | |
| 10 | 62 | |
| 11 | 71 | |
| 12 | 25 | |
| 13 | 164 | |
| 14 | 23 | |
| 15 | 43 | |
| 16 | 320 | |
| 17 | 68 | |
| 18 | 3 | |
| 19 | 53 |
About Li-Na Cong
Li-Na Cong is a scholar working on Endocrinology, Molecular Biology and Pharmacology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Physiology (448 citations), Cell Biology (263 citations) and Endocrinology, Diabetes and Metabolism (240 citations). Li-Na Cong has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Michael J. Quon, Hui Chen, Lingamanaidu V. Ravichandran, Martha Kirby, Howard Mostowski, Guangyuan Zeng, Yunhua Li, Lixin Zhou, Simeon I. Taylor and Fredrik H. Nyström. Their work appears in journals such as Journal of Biological Chemistry, Circulation 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.