Leng Leng Thang
- Sociology and Political Science top 5%
- Demography top 2%
- General Health Professions top 10%
- Health top 10%
- Neuropsychology and Physiological Psychology top 5%
- Co-authors
- Kalyani K. MehtaMika ToyotaWei‐Jun Jean YeungMatthew KaplanShirlena HuangAngelique ChanPeggy TeoMariano Sánchez
- Topics
- Intergenerational Family Dynamics and Caregiving (23 papers)Migration, Aging, and Tourism Studies (21 papers)Migration and Labor Dynamics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaSocial Science & MedicineAge and Ageing
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Leng Leng Thang
40 papers receiving 486 citations
Peers
Comparison fields: 5 of 88
- Sociology and Political Science 328
- Demography 199
- General Health Professions 92
- Health 84
- Neuropsychology and Physiological Psychology 59
Countries citing papers authored by Leng Leng Thang
This map shows the geographic impact of Leng Leng Thang'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 Leng Leng Thang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leng Leng Thang more than expected).
Fields of papers citing papers by Leng Leng Thang
This network shows the impact of papers produced by Leng Leng Thang. 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 Leng Leng Thang. The network helps show where Leng Leng Thang may publish in the future.
Co-authorship network of co-authors of Leng Leng Thang
This figure shows the co-authorship network connecting the top 25 collaborators of Leng Leng Thang. A scholar is included among the top collaborators of Leng Leng Thang 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 Leng Leng Thang. Leng Leng Thang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 35 | |
| 15 | 10 | |
| 16 | 27 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 4 | |
| 20 | 24 |
About Leng Leng Thang
Leng Leng Thang is a scholar working on Neuropsychology and Physiological Psychology, Demography and Sociology and Political Science, having authored 44 papers that have together received 524 indexed citations. Recurring topics across this work include Intergenerational Family Dynamics and Caregiving (23 papers), Migration, Aging, and Tourism Studies (21 papers) and Migration and Labor Dynamics (10 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (59 citations), Demography (199 citations) and Health (84 citations). Leng Leng Thang has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Kalyani K. Mehta, Mika Toyota, Wei‐Jun Jean Yeung, Matthew Kaplan, Shirlena Huang, Angelique Chan, Peggy Teo, Mariano Sánchez, Jaco Hoffman and John W. Traphagan. Their work appears in journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and Age and Ageing.
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.