Hailin Ding
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
- Gynecological conditions and treatments
- Uterine Myomas and Treatments
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- Reproductive System and Pregnancy
Papers in
-
- Pregnancy and preeclampsia studies 3
- Uterine Myomas and Treatments 2
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- Pituitary Gland Disorders and Treatments 3
- Co-authors
- Zhiyin Wang (5 shared papers)Yali Hu (5 shared papers)Guangfeng Zhao (5 shared papers)Ye Gu (4 shared papers)Xiaobiao Zhang (4 shared papers)Mingming Zheng (3 shared papers)Yu Zhang (1 shared paper)Yuying Huang (1 shared paper)
- Journals
- Cellular and Molecular Immunology (2 papers)World Neurosurgery (1 paper)Renal Failure (1 paper)Critical Care (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Hailin Ding
14 papers receiving 228 citations
Peers
Comparison fields: 5 of 54
- Obstetrics and Gynecology 72
- Immunology 61
- Reproductive Medicine 21
- Endocrinology, Diabetes and Metabolism 39
- Cancer Research 33
Countries citing papers authored by Hailin Ding
This map shows the geographic impact of Hailin Ding'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 Hailin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailin Ding more than expected).
Fields of papers citing papers by Hailin Ding
This network shows the impact of papers produced by Hailin Ding. 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 Hailin Ding. The network helps show where Hailin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailin Ding, 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 | 2018 | 42 | |
| 2 | 2017 | 39 | |
| 3 | 2021 | 26 | |
| 4 | 2019 | 22 | |
| 5 | 2024 | 22 | |
| 6 | 2017 | 22 | |
| 7 | 2019 | 19 | |
| 8 | 2017 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2022 | 0 |
About Hailin Ding
Hailin Ding is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Immunology, Reproductive Medicine and Infectious Diseases, having authored 15 papers that have together received 232 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (3 papers), Pregnancy and preeclampsia studies (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Reproductive System and Pregnancy (3 papers), Uterine Myomas and Treatments (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Electric Motor Design and Analysis (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Obstetrics and Gynecology (72 citations), Immunology (61 citations), Reproductive Medicine (21 citations), Endocrinology, Diabetes and Metabolism (39 citations) and Cancer Research (33 citations). Hailin Ding has collaborated with scholars based in China and United States. Frequent co-authors include Zhiyin Wang, Yali Hu, Guangfeng Zhao, Ye Gu, Xiaobiao Zhang, Mingming Zheng, Yu Zhang, Yuying Huang, Silin Wu and Yimin Dai. Their work appears in journals such as Cellular and Molecular Immunology, World Neurosurgery, Renal Failure, Critical Care and International Immunopharmacology.
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.