Yang Gu
Impact in
- Obstetrics and Gynecology top 0.2%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
- Immunology top 5%
- Reproductive System and Pregnancy
Papers in ⓘ
-
- Pregnancy and preeclampsia studies 69
- Immunology 39
- Reproductive System and Pregnancy 34
- Co-authors
- Yuping Wang (56 shared papers)David F. Lewis (40 shared papers)Lynn J. Groome (22 shared papers)Yanping Zhang (9 shared papers)Jingxia Sun (6 shared papers)Shuang Zhao (9 shared papers)Y. Wang (12 shared papers)Xiwen Zhang (4 shared papers)
- Journals
- Placenta (14 papers)American Journal of Reproductive Immunology (8 papers)American Journal of Obstetrics and Gynecology (6 papers)Pregnancy Hypertension (6 papers)Reproductive Sciences (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yang Gu
105 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Obstetrics and Gynecology 1.4k
- Immunology 881
- Pediatrics, Perinatology and Child Health 767
- Cancer Research 359
- Biological Psychiatry 42
Countries citing papers authored by Yang Gu
This map shows the geographic impact of Yang 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 Yang Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Gu more than expected).
Fields of papers citing papers by Yang Gu
This network shows the impact of papers produced by Yang 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 Yang Gu. The network helps show where Yang Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 246 | |
| 2 | 2007 | 154 | |
| 3 | 2013 | 125 | |
| 4 | 2012 | 125 | |
| 5 | 2004 | 103 | |
| 6 | 2013 | 84 | |
| 7 | 2019 | 68 | |
| 8 | 2002 | 65 | |
| 9 | 2005 | 53 | |
| 10 | 2010 | 51 | |
| 11 | 2004 | 49 | |
| 12 | 2020 | 48 | |
| 13 | 2010 | 45 | |
| 14 | 1996 | 43 | |
| 15 | 2001 | 42 | |
| 16 | 2008 | 42 | |
| 17 | 2013 | 40 | |
| 18 | 2004 | 38 | |
| 19 | 2004 | 38 | |
| 20 | 2010 | 38 |
About Yang Gu
Yang Gu is a scholar working on Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health, Nephrology and Cancer Research, having authored 111 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (69 papers), Reproductive System and Pregnancy (34 papers), Birth, Development, and Health (28 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), MicroRNA in disease regulation (9 papers), Pregnancy and Medication Impact (7 papers), Maternal and fetal healthcare (7 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (1.4k citations), Immunology (881 citations), Pediatrics, Perinatology and Child Health (767 citations), Cancer Research (359 citations) and Biological Psychiatry (42 citations). Yang Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yuping Wang, David F. Lewis, Lynn J. Groome, Yanping Zhang, Jingxia Sun, Shuang Zhao, Y. Wang, Xiwen Zhang, J. Steven Alexander and Jin Geng. Their work appears in journals such as Placenta, American Journal of Reproductive Immunology, American Journal of Obstetrics and Gynecology, Pregnancy Hypertension and Reproductive Sciences.
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.