Weirong Gu

604 citations
31 papers · 422 · h-index 12

Impact in

Papers in

Weirong Gu

27 papers receiving 420 citations

Peers

Weirong Gu
Comparison fields: 5 of 54
  • Obstetrics and Gynecology 257
  • Pediatrics, Perinatology and Child Health 112
  • Immunology 100
  • Cancer Research 55
  • Geriatrics and Gerontology 12
Replace Patji Alnæs‐Katjavivi with:
Patji Alnæs‐Katjavivi Norway
Carolin Schliefsteiner Austria
Julei Yao China
Yeling Ma China
Mengzhou He China
Yangxi Zheng China
Andrea Schanz Germany
V. Cozzi Italy
Devika Maulik United States
Huifen Xiang China
Weirong Gu relative to Patji Alnæs‐Katjavivi Norway Patji Alnæs‐Katjavivi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weirong Gu

Since Specialization
Citations

This map shows the geographic impact of Weirong 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 Weirong Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weirong Gu more than expected).

Fields of papers citing papers by Weirong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weirong 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 Weirong Gu. The network helps show where Weirong Gu may publish in the future.

Co-authors

The 25 scholars most cited alongside Weirong 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 Weirong Gu Line = papers co-authored together Weirong Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201546
3 201744
4 202235
5 202128
6 202227
7 201825
8 202225
9 202019
10 201316
11 202114
12
Proteomic analysis of knock-down HLA-G in invasion of human trophoblast cell line JEG-3.
201313
13 201912
14 201811
15 201910
16
Identification and functional analysis of microRNA in myometrium tissue from spontaneous preterm labor.
20159
17
Mirror syndrome associated with heart failure in a pregnant woman: a case report.
20157
18 20215
19 20235
20 20213

About Weirong Gu

Weirong Gu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Immunology, Cancer Research and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 422 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (14 papers), Reproductive System and Pregnancy (8 papers), Birth, Development, and Health (4 papers), Gestational Diabetes Research and Management (4 papers), Preterm Birth and Chorioamnionitis (3 papers), MicroRNA in disease regulation (3 papers), Maternal and fetal healthcare (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Obstetrics and Gynecology (257 citations), Pediatrics, Perinatology and Child Health (112 citations), Immunology (100 citations), Cancer Research (55 citations) and Geriatrics and Gerontology (12 citations). Weirong Gu has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Xiaotian Li, Yao Tang, Haiyan Liu, Ting Peng, Nannan Cao, Xueyuan Liu, Haiyan Liu, Rong Hua Hu, Zhenzhen Liu and Ming-Qing Li. Their work appears in journals such as Molecular Human Reproduction, The FASEB Journal, BMC Pediatrics, BMC Pregnancy and Childbirth and Journal of Human Hypertension.

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.

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