Qing Gong

5.6k total citations · 1 hit paper
40 papers, 3.4k citations indexed

About

Qing Gong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Qing Gong has authored 40 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Qing Gong's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers) and Autophagy in Disease and Therapy (4 papers). Qing Gong is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers) and Autophagy in Disease and Therapy (4 papers). Qing Gong collaborates with scholars based in China, United States and Hong Kong. Qing Gong's co-authors include Jing Liao, Jiafu Li, Huijun Chen, Wei Zhang, Dan Xu, Wei Hou, Chen Wang, Fan Luo, Dongchi Zhao and Juanjuan Guo and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Qing Gong

34 papers receiving 3.3k citations

Hit Papers

Clinical characteristics and intrauterine vertical transm... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k 2.5k

Peers

Qing Gong
Comparison fields: 5 of 132
  • Obstetrics and Gynecology 1.8k
  • Infectious Diseases 872
  • Public Health, Environmental and Occupational Health 747
  • Pediatrics, Perinatology and Child Health 590
  • Oncology 538
Yuanzhen Zhang China
Huijun Chen China
Sanne J. Gordijn Netherlands
Diana Bull United Kingdom
Matthew A. Sparks United States
Haipeng Xiao China
Enrique Terán Ecuador
N J Wald United Kingdom
Ji‐Yeob Choi South Korea
Yuanzhen Zhang China View profile →
Citations per field, relative to Qing Gong
Qing Gong · 1×
Citations per year, relative to Qing Gong
Qing Gong · 1×

Countries citing papers authored by Qing Gong

Since Specialization
Citations

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

Fields of papers citing papers by Qing Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Gong. A scholar is included among the top collaborators of Qing Gong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Gong. Qing Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 1
4 0
5 11
6 1
7 6
8 4
9 18
10 222
11
Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records breakdown →
2600
12 11
13 46
14 28
15 10
16 10
17 43
18 12
19 11
20 73

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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