Yang Gu

3.5k citations
111 papers · 2.7k · h-index 31

Impact in

Papers in

Yang Gu

106 papers receiving 2.7k citations

Peers

Yang Gu
Comparison fields: 5 of 107
  • Obstetrics and Gynecology 1.2k
  • Immunology 705
  • Pediatrics, Perinatology and Child Health 576
  • Cancer Research 286
  • Biological Psychiatry 36
Replace Valorie L. Chiasson with:
Valorie L. Chiasson United States
Katherine Cianflone Canada
Takashi Ozaki Japan
Fiona Lyall United Kingdom
Dominique de Prost France
Carrie Ris‐Stalpers Netherlands
Damien Masson France
Jean Guibourdenche France
Liang Dong China
Kambiz Zandi‐Nejad United States
Yang Gu relative to Valorie L. Chiasson United States Valorie L. Chiasson's profile →
Citations per field
00.5×2.5×
Valorie L. Chiasson · 1×
Citations per year

Countries citing papers authored by Yang Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yang Gu Line = papers co-authored together Yang Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017256
2 2007164
3 2012128
4 2013126
5 2004110
6 201392
7 201969
8 200266
9 200553
10 201052
11 202050
12 200450
13 199646
14 201045
15 200144
16 200842
17 201041
18 201341
19 200440
20 200439

About Yang Gu

Yang Gu is a scholar working on Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 111 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (58 papers), Reproductive System and Pregnancy (18 papers), Birth, Development, and Health (14 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), MicroRNA in disease regulation (6 papers), Pregnancy and Medication Impact (5 papers), Vitamin D Research Studies (4 papers) and Obstructive Sleep Apnea Research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Immunology (705 citations), Pediatrics, Perinatology and Child Health (576 citations), Cancer Research (286 citations) and Biological Psychiatry (36 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, Jin Geng and J. Steven Alexander. Their work appears in journals such as Placenta, American Journal of Reproductive Immunology, Pregnancy Hypertension, American Journal of Obstetrics and Gynecology 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.

Explore authors with similar magnitude of impact