Haijun Gao
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Chandra YallampalliUma YallampalliVijayakumar ChinnathambiRebekah ElkinsGary D.V. HankinsZbigniew StarosolskiAnanth AnnapragadaKetan B. Ghaghada
- Topics
- Birth, Development, and Health (13 papers)Pregnancy and preeclampsia studies (11 papers)Renin-Angiotensin System Studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEndocrinology
- Partner nations
- United StatesChina
In The Last Decade
Haijun Gao
21 papers receiving 431 citations
Peers
Comparison fields: 5 of 68
- Pediatrics, Perinatology and Child Health 202
- Obstetrics and Gynecology 186
- Public Health, Environmental and Occupational Health 66
- Molecular Biology 63
- Endocrinology, Diabetes and Metabolism 63
Countries citing papers authored by Haijun Gao
This map shows the geographic impact of Haijun Gao'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 Haijun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Gao more than expected).
Fields of papers citing papers by Haijun Gao
This network shows the impact of papers produced by Haijun Gao. 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 Haijun Gao. The network helps show where Haijun Gao may publish in the future.
Co-authorship network of co-authors of Haijun Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Gao. A scholar is included among the top collaborators of Haijun Gao 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 Haijun Gao. Haijun Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 29 | |
| 5 | 29 | |
| 6 | 38 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 29 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 13 | |
| 17 | 17 | |
| 18 | 107 | |
| 19 | 20 | |
| 20 | 25 |
About Haijun Gao
Haijun Gao is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 23 papers that have together received 433 indexed citations. Recurring topics across this work include Birth, Development, and Health (13 papers), Pregnancy and preeclampsia studies (11 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Obstetrics and Gynecology (186 citations), Pediatrics, Perinatology and Child Health (202 citations) and Reproductive Medicine (43 citations). Haijun Gao has collaborated with scholars based in United States and China. Frequent co-authors include Chandra Yallampalli, Uma Yallampalli, Vijayakumar Chinnathambi, Rebekah Elkins, Gary D.V. Hankins, Zbigniew Starosolski, Ananth Annapragada, Ketan B. Ghaghada, Rohan Bhavane and Meena Balakrishnan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Endocrinology.
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.