Hang Gu
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
-
- Pregnancy and preeclampsia studies 11
-
- Stress Responses and Cortisol 5
- Co-authors
- Xin Ni (21 shared papers)Chen Xu (10 shared papers)Qingyun Yan (8 shared papers)Zhili He (7 shared papers)Qianqian Sun (9 shared papers)Xingji You (11 shared papers)Lu Gao (8 shared papers)Xiaoyan Zhu (3 shared papers)
- Journals
- Endocrinology (4 papers)American Journal Of Pathology (3 papers)Reproduction (3 papers)Placenta (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hang Gu
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Obstetrics and Gynecology 233
- Biochemistry 132
- Behavioral Neuroscience 51
- Pollution 109
- Ecology 217
Countries citing papers authored by Hang Gu
This map shows the geographic impact of Hang Gu'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 Hang Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Gu more than expected).
Fields of papers citing papers by Hang Gu
This network shows the impact of papers produced by Hang Gu. 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 Hang Gu. The network helps show where Hang Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 95 | |
| 2 | 2021 | 75 | |
| 3 | 2022 | 75 | |
| 4 | 2011 | 55 | |
| 5 | 2018 | 53 | |
| 6 | 2013 | 52 | |
| 7 | 2020 | 51 | |
| 8 | 2020 | 49 | |
| 9 | 2013 | 47 | |
| 10 | 2015 | 45 | |
| 11 | 2010 | 40 | |
| 12 | 2016 | 40 | |
| 13 | 2012 | 40 | |
| 14 | 2024 | 39 | |
| 15 | 2017 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2015 | 26 | |
| 18 | [Changes and significance of orphanin and serotonin in patients with postpartum depression]. | 2003 | 26 |
| 19 | 2023 | 24 | |
| 20 | 2012 | 22 |
About Hang Gu
Hang Gu is a scholar working on Obstetrics and Gynecology, Behavioral Neuroscience, Pediatrics, Perinatology and Child Health, Biochemistry and Ecology, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (11 papers), Microbial Community Ecology and Physiology (8 papers), Birth, Development, and Health (7 papers), Reproductive System and Pregnancy (6 papers), Coastal wetland ecosystem dynamics (6 papers), Preterm Birth and Chorioamnionitis (5 papers), Sulfur Compounds in Biology (5 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Obstetrics and Gynecology (233 citations), Biochemistry (132 citations), Behavioral Neuroscience (51 citations), Pollution (109 citations) and Ecology (217 citations). Hang Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xin Ni, Chen Xu, Qingyun Yan, Zhili He, Qianqian Sun, Xingji You, Lu Gao, Xiaoyan Zhu, Xiaoli Yu and Yuan Li. Their work appears in journals such as Endocrinology, American Journal Of Pathology, Reproduction, Placenta and The Journal of Clinical Endocrinology & Metabolism.
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.