Ting-Li Han
Impact in
- Obstetrics and Gynecology top 1%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
-
- Birth, Development, and Health
Papers in
-
- Pregnancy and preeclampsia studies 24
- Gestational Diabetes Research and Management 22
-
- Birth, Development, and Health 31
- Co-authors
- Silas G. Villas‐BôasRichard D. CannonPhilip N. BakerHua ZhangHongbo QiKai P. LawXun MaoYinyin Xia
- Journals
- Scientific Reports (7 papers)Experimental Cell Research (5 papers)BMJ Open (4 papers)Metabolomics (4 papers)Frontiers in Nutrition (3 papers)
- Partner nations
- ChinaNew ZealandUnited Kingdom
In The Last Decade
Ting-Li Han
95 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Obstetrics and Gynecology 472
- Pediatrics, Perinatology and Child Health 412
- Biological Psychiatry 32
- Cancer Research 156
- Molecular Biology 674
Countries citing papers authored by Ting-Li Han
This map shows the geographic impact of Ting-Li Han'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 Ting-Li Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-Li Han more than expected).
Fields of papers citing papers by Ting-Li Han
This network shows the impact of papers produced by Ting-Li Han. 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 Ting-Li Han. The network helps show where Ting-Li Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting-Li Han, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 23 | |
| 14 | 2019 | 27 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 9 | |
| 19 | 2016 | 32 | |
| 20 | 2015 | 22 |
About Ting-Li Han
Ting-Li Han is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Biological Psychiatry, Reproductive Medicine and Nutrition and Dietetics, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Birth, Development, and Health (31 papers), Pregnancy and preeclampsia studies (24 papers), Gestational Diabetes Research and Management (22 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Reproductive System and Pregnancy (8 papers), Adipose Tissue and Metabolism (7 papers), Nutritional Studies and Diet (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Obstetrics and Gynecology (472 citations), Pediatrics, Perinatology and Child Health (412 citations), Biological Psychiatry (32 citations), Cancer Research (156 citations) and Molecular Biology (674 citations). Ting-Li Han has collaborated with scholars based in China, New Zealand and United Kingdom. Frequent co-authors include Silas G. Villas‐Bôas, Richard D. Cannon, Philip N. Baker, Hua Zhang, Hongbo Qi, Kai P. Law, Xun Mao, Yinyin Xia, Xiaobo Zhou and Chao Tong. Their work appears in journals such as Scientific Reports, Experimental Cell Research, BMJ Open, Metabolomics and Frontiers in 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.