Yulan Lin
Impact in
- Health top 0.5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Health 24
- Vaccine Coverage and Hesitancy 23
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- COVID-19 and Mental Health 19
- Co-authors
- Zhijian Hu (46 shared papers)Li Ping Wong (44 shared papers)Haridah Alias (35 shared papers)Qinjian Zhao (9 shared papers)Mahmoud Danaee (6 shared papers)Themis Matsoukas (3 shared papers)Kangtaek Lee (1 shared paper)Yunxia Lu (7 shared papers)
- Journals
- Human Vaccines & Immunotherapeutics (11 papers)Frontiers in Public Health (10 papers)BMJ Open (3 papers)European Urology Focus (2 papers)Nutrients (2 papers)
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Yulan Lin
100 papers receiving 2.1k citations
Yulan Lin's Hit Papers
Peers
Comparison fields: 5 of 170
- Health 832
- Modeling and Simulation 337
- Infectious Diseases 490
- Clinical Psychology 305
- Economics and Econometrics 264
Countries citing papers authored by Yulan Lin
This map shows the geographic impact of Yulan 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 Yulan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulan Lin more than expected).
Fields of papers citing papers by Yulan Lin
This network shows the impact of papers produced by Yulan 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 Yulan Lin. The network helps show where Yulan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yulan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Understanding COVID-19 vaccine demand and hesitancy: A nationwide online survey in China Hit paper breakdown → | 2020 | 501 |
| 2 | 2002 | 159 | |
| 3 | 2020 | 121 | |
| 4 | 2020 | 99 | |
| 5 | 2021 | 83 | |
| 6 | 2020 | 75 | |
| 7 | 2014 | 52 | |
| 8 | 2015 | 47 | |
| 9 | 2013 | 40 | |
| 10 | 2021 | 40 | |
| 11 | 2015 | 39 | |
| 12 | 2015 | 38 | |
| 13 | 2020 | 34 | |
| 14 | 2019 | 33 | |
| 15 | 2020 | 33 | |
| 16 | 2020 | 33 | |
| 17 | 2021 | 32 | |
| 18 | 2022 | 32 | |
| 19 | 2010 | 30 | |
| 20 | 2020 | 30 |
About Yulan Lin
Yulan Lin is a scholar working on Health, Clinical Psychology, Surgery, Infectious Diseases and Oncology, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (23 papers), COVID-19 and Mental Health (19 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Esophageal Cancer Research and Treatment (8 papers), Gastric Cancer Management and Outcomes (8 papers), Cervical Cancer and HPV Research (8 papers), Hepatitis B Virus Studies (7 papers) and Helicobacter pylori-related gastroenterology studies (6 papers). The work is most often cited by research in Health (832 citations), Modeling and Simulation (337 citations), Infectious Diseases (490 citations), Clinical Psychology (305 citations) and Economics and Econometrics (264 citations). Yulan Lin has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Zhijian Hu, Li Ping Wong, Haridah Alias, Qinjian Zhao, Mahmoud Danaee, Themis Matsoukas, Kangtaek Lee, Yunxia Lu, Jesper Lagergren and Gregory D. Zimet. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Frontiers in Public Health, BMJ Open, European Urology Focus and Nutrients.
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.