Ping‐qing Gu

450 citations
16 papers · 377 · h-index 11

Impact in

Papers in

Ping‐qing Gu

16 papers receiving 372 citations

Peers

Ping‐qing Gu
Comparison fields: 5 of 78
  • Cancer Research 103
  • Health, Toxicology and Mutagenesis 54
  • Obstetrics and Gynecology 21
  • Immunology 51
  • Pediatrics, Perinatology and Child Health 43
Replace Sunitha Meruvu with:
Sunitha Meruvu United States
Victor Okoh United States
Leilei Tang China
Xinliang Ma China
Xiaofang Yan China
Priyanka Sharma United States
Bénazir Siddeek France
Vesna Ćorić Serbia
Jing Su China
Geertje Lewin Germany
Ping‐qing Gu relative to Sunitha Meruvu United States Sunitha Meruvu's profile →
Citations per field
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Sunitha Meruvu · 1×
Citations per year

Countries citing papers authored by Ping‐qing Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐qing Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201671
2 201368
3 201545
4 201244
5 201324
6 200822
7
The role of eIF5A in epidermal growth factor-induced proliferation of corneal epithelial cell association with PI3-k/Akt activation.
201117
8 200916
9 201514
10 201213
11 201111
12 201010
13 201410
14 20127
15
Effect of Pregnancy on the Levels of Blood Cadmium and Lead: analysis of 2006-2011 Nanjing Maternity and Child Health Care Hospital Survey Data.
20133
16 20132

About Ping‐qing Gu

Ping‐qing Gu is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology and Obstetrics and Gynecology, having authored 16 papers that have together received 377 indexed citations. Recurring topics across this work include Complement system in diseases (2 papers), Cervical Cancer and HPV Research (2 papers), Birth, Development, and Health (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Gestational Diabetes Research and Management (1 paper), Epigenetics and DNA Methylation (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Cancer Research (103 citations), Health, Toxicology and Mutagenesis (54 citations), Obstetrics and Gynecology (21 citations), Immunology (51 citations) and Pediatrics, Perinatology and Child Health (43 citations). Ping‐qing Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kangsheng Liu, Ling-juan Gao, Yu Zeng, Jiahu Hao, Shuyu Guo, Yajuan Su, Peilin Huang, Yuehua Zhou, Qin Lu and Yu Zeng. Their work appears in journals such as Journal of Translational Medicine, Cellular Physiology and Biochemistry, BMC Cancer, Reproductive Sciences and Cancer Investigation.

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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