Jianying Gu

1.4k citations
48 papers · 984 · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Ubiquitin and proteasome pathways 3
    • RNA Interference and Gene Delivery 3
    • Circular RNAs in diseases 3
    • CAR-T cell therapy research 4

Jianying Gu

46 papers receiving 967 citations

Peers

Jianying Gu
Comparison fields: 5 of 98
  • Cancer Research 145
  • Oncology 228
  • Radiology, Nuclear Medicine and Imaging 173
  • Molecular Biology 410
  • Immunology 111
Replace Payel Bhanja with:
Payel Bhanja United States
Quan P. Ly United States
Vincenzo Covelli Italy
Florian Wirsdörfer Germany
Carl Power Australia
Shuhua Wei China
Magnus T. Dillon United Kingdom
Azadeh Arabzadeh Canada
Stacey A. Snyder United States
Jianying Gu relative to Payel Bhanja United States Payel Bhanja's profile →
Citations per field
00.5×1.5×2.3×
Payel Bhanja · 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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 202170
3 200667
4 201665
5 201962
6 200847
7 202046
8 202339
9 201437
10 202137
11 200336
12 202134
13 200827
14 201726
15 202325
16 202220
17 201820
18 200819
19 202418
20 200817

About Jianying Gu

Jianying Gu is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 984 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), CAR-T cell therapy research (4 papers), Ubiquitin and proteasome pathways (3 papers), RNA Interference and Gene Delivery (3 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (3 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (145 citations), Oncology (228 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Molecular Biology (410 citations) and Immunology (111 citations). Jianying Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fazhi Qi, Yanwen Yang, Zihao Feng, Chuanyuan Wei, Guobing Liu, Haojun Yu, Hongcheng Shi, Hui Tan, Meng-Xuan Zhu and Nanhang Lu. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Plastic & Reconstructive Surgery, Cell Death Discovery, Gene Therapy and Journal of Translational 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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