Davina C. Ling
- Pharmacology top 5%
- General Health Professions top 10%
- Clinical Psychology top 10%
- Psychiatry and Mental health top 10%
- Sociology and Political Science top 10%
- Co-authors
- Ernst R. BerndtWilliam H. CrownStan N. FinkelsteinA. John RushJames M. RussellWilliam C.W. WongMargaret KyleEleanor Holroyd
- Topics
- Sex work and related issues (7 papers)HIV, Drug Use, Sexual Risk (7 papers)Healthcare Policy and Management (3 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Davina C. Ling
25 papers receiving 815 citations
Peers
Comparison fields: 5 of 103
- Pharmacology 191
- General Health Professions 191
- Clinical Psychology 171
- Psychiatry and Mental health 169
- Sociology and Political Science 158
Countries citing papers authored by Davina C. Ling
This map shows the geographic impact of Davina C. Ling'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 Davina C. Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davina C. Ling more than expected).
Fields of papers citing papers by Davina C. Ling
This network shows the impact of papers produced by Davina C. Ling. 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 Davina C. Ling. The network helps show where Davina C. Ling may publish in the future.
Co-authorship network of co-authors of Davina C. Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Davina C. Ling. A scholar is included among the top collaborators of Davina C. Ling 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 Davina C. Ling. Davina C. Ling 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 | Prevalence and risk factors of sexually transmitted infections in female sex workers in Hong Kong. | 4 |
| 3 | 17 | |
| 4 | 68 | |
| 5 | 18 | |
| 6 | 30 | |
| 7 | 25 | |
| 8 | 8 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 46 | |
| 12 | 28 | |
| 13 | 22 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | The Long Shadow of Patent Expiration. Generic Entry and Rx-to-OTC Switches | 24 |
| 18 | 300 | |
| 19 | 96 | |
| 20 | 11 |
About Davina C. Ling
Davina C. Ling is a scholar working on Gender Studies, General Health Professions and Health, having authored 25 papers that have together received 866 indexed citations. Recurring topics across this work include Sex work and related issues (7 papers), HIV, Drug Use, Sexual Risk (7 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Medical Terminology (3 citations) and Pharmacology (191 citations). Davina C. Ling has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Ernst R. Berndt, William H. Crown, Stan N. Finkelstein, A. John Rush, James M. Russell, William C.W. Wong, Margaret Kyle, Eleanor Holroyd, William Chi Wai Wong and Ron Z. Goetzel. Their work appears in journals such as The Journal of Clinical Psychiatry, Child Abuse & Neglect and Psychiatric Services.
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.