Jianying Gu

1.3k citations
47 papers · 923 indexed · h-index 18
Topics
Medical Imaging Techniques and Applications (6 papers)MicroRNA in disease regulation (4 papers)Ubiquitin and proteasome pathways (4 papers)
Partner nations
ChinaSpainHong Kong

In The Last Decade

Jianying Gu

44 papers receiving 912 citations

Peers

Jianying Gu
Comparison fields: 5 of 98
  • Molecular Biology 427
  • Oncology 246
  • Radiology, Nuclear Medicine and Imaging 184
  • Cancer Research 183
  • Immunology 116
Replace Jennifer Sims‐Mourtada with:
Jennifer Sims‐Mourtada United States
Payel Bhanja United States
Quan P. Ly United States
Laurence Maggiorella France
Marco De Giorgi Italy
Florian Wirsdörfer Germany
Vincenzo Covelli Italy
Shuhua Wei China
Sarah E. Nicholas United States
Hajime Sunakawa Japan
Jianying Gu relative to Jennifer Sims‐Mourtada United States Jennifer Sims‐Mourtada's profile →
Citations per field
00.5×1.7×
Jennifer Sims‐Mourtada · 1×
Citations per year

Countries citing papers authored by Jianying Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jianying Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianying Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianying Gu. A scholar is included among the top collaborators of Jianying Gu 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 Jianying Gu. Jianying Gu 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
#WorkIndexed citations
1 17
2 6
3 5
4 0
5 7
6 11
7 22
8 1
9 36
10 8
11 18
12 1
13 69
14 60
15
Advances in the role of Rho sub-family in tumor invasion
4
16 3
17 23
18 17
19 11
20 45

About Jianying Gu

Jianying Gu is a scholar working on Health Informatics, Oncology and Cancer Research, having authored 47 papers that have together received 923 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), MicroRNA in disease regulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (183 citations), Oncology (246 citations) and Radiology, Nuclear Medicine and Imaging (184 citations). Jianying Gu has collaborated with scholars based in China, Spain and Hong Kong. Frequent co-authors include Fazhi Qi, Yanwen Yang, Zihao Feng, Chuanyuan Wei, Haojun Yu, Guobing Liu, Hongcheng Shi, Hui Tan, Meng-Xuan Zhu and Nanhang Lu. Their work appears in journals such as Cancer Research, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

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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