Ning Gu

1.2k citations
25 papers · 863 · h-index 11

Impact in

Papers in

Ning Gu

22 papers receiving 845 citations

Peers

Ning Gu
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 431
  • Obstetrics and Gynecology 142
  • Biological Psychiatry 19
  • Molecular Biology 499
  • Cardiology and Cardiovascular Medicine 154
Replace Alicia Seltzer with:
Alicia Seltzer Argentina
Daisuke Maruyama Japan
Tomris Mustafa Australia
Verónica A. Campanucci Canada
Shang Z. Guo United States
Julie Peyronnet France
Georg Wietzorrek Austria
Yan‐Ning Qiao China
Jessica A. Laurence Australia
Hiroshi Ishino Japan
Ning Gu relative to Alicia Seltzer Argentina Alicia Seltzer's profile →
Citations per field
00.5×4.3×
Alicia Seltzer · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001285
2 2007230
3 200652
4 201846
5 201543
6 201043
7 201839
8 200436
9 202128
10 200618
11 202011
12 20176
13 20224
14 20204
15 20133
16 20023
17 20213
18 20203
19 20222
20 20232

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 25 papers that have together received 863 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (10 papers), Maternal and fetal healthcare (9 papers), Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA Research and Splicing (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (431 citations), Obstetrics and Gynecology (142 citations), Biological Psychiatry (19 citations), Molecular Biology (499 citations) and Cardiology and Cardiovascular Medicine (154 citations). Ning Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Johan F. Storm, Koen Vervaeke, Olaf Pongs, Maria Trieb, Ole Petter Ottersen, Hua Hu, Ruijin Shao, Petter Laake, Yi­min Dai and Yali Hu. Their work appears in journals such as BMC Pregnancy and Childbirth, Molecular Psychiatry, PLoS ONE, Cellular and Molecular Immunology and Medicine.

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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