Haiying Chen
- Molecular Biology
- Immunology top 10%
- Surgery top 10%
- Rehabilitation top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Lee J. GoldsteinOmaida C. VelázquezZhaojun LiuMin XiaoStephen R. ThomKatherine GallagherDonald G. BuerkApril E. Nedeau
- Topics
- Pregnancy and preeclampsia studies (18 papers)Birth, Development, and Health (9 papers)Reproductive System and Pregnancy (8 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haiying Chen
98 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 631
- Immunology 358
- Surgery 303
- Rehabilitation 262
- Endocrinology, Diabetes and Metabolism 231
Countries citing papers authored by Haiying Chen
This map shows the geographic impact of Haiying Chen'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 Haiying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiying Chen more than expected).
Fields of papers citing papers by Haiying Chen
This network shows the impact of papers produced by Haiying Chen. 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 Haiying Chen. The network helps show where Haiying Chen may publish in the future.
Co-authorship network of co-authors of Haiying Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Chen. A scholar is included among the top collaborators of Haiying Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiying Chen. Haiying Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 25 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 34 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | Effects of the SPK1/S1P signal pathway on the apoptosis,invasiveness and multidrug resistance characteristics of the human hepatocellular carcinoma cell line BEL-FU | 1 |
| 17 | 1 | |
| 18 | Effects of luteolin on aldose reductase,NOS system and Na~+-K~+-ATPase in cardiac muscles of early diabetes rats | 1 |
| 19 | 28 | |
| 20 | 86 |
About Haiying Chen
Haiying Chen is a scholar working on Obstetrics and Gynecology, Immunology and Gastroenterology, having authored 111 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (9 papers) and Reproductive System and Pregnancy (8 papers). The work is most often cited by research in Rehabilitation (262 citations), Obstetrics and Gynecology (174 citations) and Genetics (192 citations). Haiying Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lee J. Goldstein, Omaida C. Velázquez, Zhaojun Liu, Min Xiao, Stephen R. Thom, Katherine Gallagher, Donald G. Buerk, April E. Nedeau, Manni Sun and Tao Meng. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.
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.