Kun Tang
- Obstetrics and Gynecology top 2%
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 13
- Modeling and Simulation top 2%
- Health top 5%
- Health disparities and outcomes 11
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- Global Maternal and Child Health 31
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- Child Nutrition and Water Access 26
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- Adolescent Sexual and Reproductive Health 23
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- Healthcare Systems and Reforms 16
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- Poverty, Education, and Child Welfare 11
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- Migration, Health and Trauma 10
- Co-authors
- Zhicheng WangLi JiangZulfiqar A BhuttaOmar IrfanMichael LevinKaren M. WilsonShaun K. MorrisJonathan D. Klein
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Tang
159 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Obstetrics and Gynecology 239
- Infectious Diseases 549
- Modeling and Simulation 123
- Health 195
- Pediatrics, Perinatology and Child Health 364
Countries citing papers authored by Kun Tang
This map shows the geographic impact of Kun Tang'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 Kun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Tang more than expected).
Fields of papers citing papers by Kun Tang
This network shows the impact of papers produced by Kun Tang. 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 Kun Tang. The network helps show where Kun Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 24 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 20 | |
| 18 | 2021 | 6 | |
| 19 | 2019 | 16 | |
| 20 | 2018 | 46 |
About Kun Tang
Kun Tang is a scholar working on Pediatrics, Perinatology and Child Health, Health, General Health Professions, Nutrition and Dietetics and Finance, having authored 167 papers that have together received 2.8k indexed citations. Recurring topics across this work include Global Maternal and Child Health (31 papers), Child Nutrition and Water Access (26 papers), Adolescent Sexual and Reproductive Health (23 papers), Healthcare Systems and Reforms (16 papers), HIV/AIDS Research and Interventions (13 papers), Poverty, Education, and Child Welfare (11 papers), Health disparities and outcomes (11 papers) and Migration, Health and Trauma (10 papers). The work is most often cited by research in Obstetrics and Gynecology (239 citations), Infectious Diseases (549 citations), Modeling and Simulation (123 citations), Health (195 citations) and Pediatrics, Perinatology and Child Health (364 citations). Kun Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhicheng Wang, Li Jiang, Zulfiqar A Bhutta, Omar Irfan, Michael Levin, Karen M. Wilson, Shaun K. Morris, Jonathan D. Klein, Hanyu Wang and Yuning Liu. Their work appears in journals such as BMC Public Health, Frontiers in Public Health, BMJ Open, Nutrients and Journal of Global Health.
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.