Ning Gu

1.2k citations
27 papers · 874 · h-index 11

Impact in

Papers in

Ning Gu

23 papers receiving 856 citations

Peers

Ning Gu
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 410
  • Obstetrics and Gynecology 130
  • Molecular Biology 485
  • Cardiology and Cardiovascular Medicine 139
  • Biological Psychiatry 15
Replace Nathalie Van Acker with:
Nathalie Van Acker France
Ramón A. Lorca United States
Verónica A. Campanucci Canada
Yan‐Ning Qiao China
José Marques-Lopes United States
Shang Z. Guo United States
Hiroshi Ishino Japan
Elyssa D. Burg United States
Georg Wietzorrek Austria
Julie A. Millar United Kingdom
Ning Gu relative to Nathalie Van Acker France Nathalie Van Acker's profile →
Citations per field
00.5×8.7×
Nathalie Van Acker · 1×
Citations per year

Countries citing papers authored by Ning Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001287
2 2007231
3 200653
4 201848
5 201544
6 201043
7 201841
8 200436
9 202128
10 200619
11 202011
12 20176
13 20204
14 20224
15 20204
16 20133
17 20213
18 20022
19 20232
20 20222

About Ning Gu

Ning Gu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 874 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (8 papers), Maternal and fetal healthcare (6 papers), Pregnancy and preeclampsia studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (3 papers), RNA Research and Splicing (2 papers), Birth, Development, and Health (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (410 citations), Obstetrics and Gynecology (130 citations), Molecular Biology (485 citations), Cardiology and Cardiovascular Medicine (139 citations) and Biological Psychiatry (15 citations). Ning Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Johan F. Storm, Koen Vervaeke, Maria Trieb, Olaf Pongs, Petter Laake, Hua Hu, Ole Petter Ottersen, Yi­min Dai, Yali Hu and Mingming Zheng. Their work appears in journals such as BMC Pregnancy and Childbirth, PLoS ONE, Molecular Psychiatry, Medicine and Acta Obstetricia Et Gynecologica Scandinavica.

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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