Jun Zhang
- Pediatrics, Perinatology and Child Health top 0.01%
- Obstetrics and Gynecology top 0.01%
- Public Health, Environmental and Occupational Health top 0.1%
- Health, Toxicology and Mutagenesis top 0.1%
- Epidemiology top 1%
- Co-authors
- Ana Pilar BetránA Metin GülmezogluFan JiangJames TroendleYunting ZhangJin ZhaoGuanghai WangMaria Regina Torloni
- Topics
- Birth, Development, and Health (125 papers)Pregnancy and preeclampsia studies (103 papers)Gestational Diabetes Research and Management (94 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthHealth, Toxicology and Mutagenesis
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Zhang
487 papers receiving 20.9k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Pediatrics, Perinatology and Child Health 9.4k
- Obstetrics and Gynecology 8.5k
- Public Health, Environmental and Occupational Health 4.4k
- Health, Toxicology and Mutagenesis 3.2k
- Epidemiology 2.0k
Countries citing papers authored by Jun Zhang
This map shows the geographic impact of Jun Zhang'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 Jun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhang more than expected).
Fields of papers citing papers by Jun Zhang
This network shows the impact of papers produced by Jun Zhang. 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 Jun Zhang. The network helps show where Jun Zhang may publish in the future.
Co-authorship network of co-authors of Jun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhang. A scholar is included among the top collaborators of Jun Zhang 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 Jun Zhang. Jun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 97 |
About Jun Zhang
Jun Zhang is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis, having authored 509 papers that have together received 21.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (125 papers), Pregnancy and preeclampsia studies (103 papers) and Gestational Diabetes Research and Management (94 papers). The work is most often cited by research in Obstetrics and Gynecology (8.5k citations), Pediatrics, Perinatology and Child Health (9.4k citations) and Health, Toxicology and Mutagenesis (3.2k citations). Jun Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ana Pilar Betrán, A Metin Gülmezoglu, Fan Jiang, James Troendle, Yunting Zhang, Jin Zhao, Guanghai Wang, Maria Regina Torloni, Jianfeng Ye and João Paulo Souza. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.