Lingli Gong
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine top 10%
- Rheumatology
- Epidemiology
- Immunology
- Co-authors
- Lieng Hsi LingMark RichardsTze Pin NgCarolyn S.P. LamFatih ArslanLena BoschDavid SimKui Toh Gerard Leong
- Topics
- Cardiovascular Health and Disease Prevention (7 papers)Cerebrovascular and Carotid Artery Diseases (4 papers)Neurological Disease Mechanisms and Treatments (3 papers)
- Journals
- Scientific ReportsJournal of Cerebral Blood Flow & MetabolismBritish Journal of Ophthalmology
- Partner nations
- SingaporeNew ZealandUnited States
In The Last Decade
Lingli Gong
13 papers receiving 416 citations
Peers
Comparison fields: 5 of 58
- Cardiology and Cardiovascular Medicine 291
- Pulmonary and Respiratory Medicine 204
- Rheumatology 58
- Epidemiology 50
- Immunology 46
Countries citing papers authored by Lingli Gong
This map shows the geographic impact of Lingli Gong'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 Lingli Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli Gong more than expected).
Fields of papers citing papers by Lingli Gong
This network shows the impact of papers produced by Lingli Gong. 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 Lingli Gong. The network helps show where Lingli Gong may publish in the future.
Co-authorship network of co-authors of Lingli Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Lingli Gong. A scholar is included among the top collaborators of Lingli Gong 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 Lingli Gong. Lingli Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 58 | |
| 10 | 227 | |
| 11 | 39 | |
| 12 | 10 | |
| 13 | 19 | |
| 14 | Lumbar spine bone mineral density predicts endothelial reactivity in patients with systemic lupus erythematosus. | 12 |
About Lingli Gong
Lingli Gong is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Geriatrics and Gerontology, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (7 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (291 citations), Pulmonary and Respiratory Medicine (204 citations) and Rheumatology (58 citations). Lingli Gong has collaborated with scholars based in Singapore, New Zealand and United States. Frequent co-authors include Lieng Hsi Ling, Mark Richards, Tze Pin Ng, Carolyn S.P. Lam, Fatih Arslan, Lena Bosch, David Sim, Kui Toh Gerard Leong, Daniel Yeo and Siew Pang Chan. Their work appears in journals such as Scientific Reports, Journal of Cerebral Blood Flow & Metabolism and British Journal of Ophthalmology.
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.