Chia‐Ju Lin
- General Health Professions top 5%
- Clinical Psychology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Surgery
- Anesthesiology and Pain Medicine top 5%
- Co-authors
- Ita Daryanti SaragihIce Septriani SaragihSakti Oktaria BatubaraYen‐Ko LinIra SuarilahShailesh AdvaniSanto Imanuel TonapaTzu-Fu Lin
- Topics
- COVID-19 and Mental Health (4 papers)Dementia and Cognitive Impairment Research (4 papers)Anesthesia and Sedative Agents (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiometrikaIEEE Transactions on Biomedical Engineering
- Partner nations
- TaiwanUnited StatesIndonesia
In The Last Decade
Chia‐Ju Lin
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- General Health Professions 356
- Clinical Psychology 321
- Public Health, Environmental and Occupational Health 176
- Surgery 151
- Anesthesiology and Pain Medicine 146
Countries citing papers authored by Chia‐Ju Lin
This map shows the geographic impact of Chia‐Ju Lin'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 Chia‐Ju Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ju Lin more than expected).
Fields of papers citing papers by Chia‐Ju Lin
This network shows the impact of papers produced by Chia‐Ju Lin. 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 Chia‐Ju Lin. The network helps show where Chia‐Ju Lin may publish in the future.
Co-authorship network of co-authors of Chia‐Ju Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Ju Lin. A scholar is included among the top collaborators of Chia‐Ju Lin 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 Chia‐Ju Lin. Chia‐Ju Lin 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 | 2 | |
| 4 | 14 | |
| 5 | Global prevalence of mental health problems among healthcare workers during the Covid-19 pandemic: A systematic review and meta-analysisbreakdown → | 271 |
| 6 | 34 | |
| 7 | 19 | |
| 8 | 37 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 13 | |
| 14 | 40 | |
| 15 | Does Biofeedback Improve Symptoms of Schizophrenia (Emotion, Psychotic Symptoms, and Cognitive Function)? | 2 |
| 16 | 26 | |
| 17 | 7 | |
| 18 | 29 | |
| 19 | 150 | |
| 20 | 3 |
About Chia‐Ju Lin
Chia‐Ju Lin is a scholar working on Anesthesiology and Pain Medicine, Neuropsychology and Physiological Psychology and Pharmacy, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Anesthesia and Sedative Agents (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (146 citations), Clinical Psychology (321 citations) and General Health Professions (356 citations). Chia‐Ju Lin has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Ita Daryanti Saragih, Ice Septriani Saragih, Sakti Oktaria Batubara, Yen‐Ko Lin, Ira Suarilah, Shailesh Advani, Santo Imanuel Tonapa, Tzu-Fu Lin, Yu‐Chang Yeh and Wei‐Zen Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Biometrika and IEEE Transactions on Biomedical Engineering.
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.