Dan Luo
Impact in
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- Diabetes Management and Research
- Diabetes Management and Education
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
Papers in
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- Tuberculosis Research and Epidemiology 6
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 2
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- Diabetes Management and Education 3
- Co-authors
- Mingzi Li (13 shared papers)Xue Cai (14 shared papers)Ruxue Li (10 shared papers)Yanhui Lu (8 shared papers)Taihua Mu (2 shared papers)Hongnan Sun (2 shared papers)Huijing Zhang (4 shared papers)Shanhu Qiu (4 shared papers)
- Journals
- Journal of Clinical Nursing (4 papers)Frontiers in Public Health (2 papers)BMC Medical Education (2 papers)Health Policy (1 paper)Food Science & Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Luo
67 papers receiving 888 citations
Peers
Comparison fields: 5 of 132
- Endocrinology, Diabetes and Metabolism 136
- Infectious Diseases 119
- Research and Theory 5
- Physiology 93
- Biochemistry 22
Countries citing papers authored by Dan Luo
This map shows the geographic impact of Dan Luo'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 Dan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Luo more than expected).
Fields of papers citing papers by Dan Luo
This network shows the impact of papers produced by Dan Luo. 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 Dan Luo. The network helps show where Dan Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Luo, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2021 | 56 | |
| 3 | 2021 | 53 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 33 | |
| 7 | 2022 | 33 | |
| 8 | 2020 | 30 | |
| 9 | 2018 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2019 | 27 | |
| 12 | 2020 | 24 | |
| 13 | 2021 | 22 | |
| 14 | 2022 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2021 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2023 | 18 |
About Dan Luo
Dan Luo is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Epidemiology, having authored 78 papers that have together received 898 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), Plant-based Medicinal Research (3 papers), Diabetes Management and Education (3 papers), Cryptography and Data Security (2 papers), interferon and immune responses (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (136 citations), Infectious Diseases (119 citations), Research and Theory (5 citations), Physiology (93 citations) and Biochemistry (22 citations). Dan Luo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingzi Li, Xue Cai, Ruxue Li, Yanhui Lu, Taihua Mu, Hongnan Sun, Huijing Zhang, Shanhu Qiu, Guowei Fang and Jie Huang. Their work appears in journals such as Journal of Clinical Nursing, Frontiers in Public Health, BMC Medical Education, Health Policy and Food Science & Nutrition.
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.