Guangjun Jing

1.4k citations
22 papers · 643 · h-index 13

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Nuclear Structure and Function 4
    • RNA Research and Splicing 4
    • RNA regulation and disease 4
    • RNA Interference and Gene Delivery 3
    • CAR-T cell therapy research 6

Guangjun Jing

21 papers receiving 635 citations

Peers

Guangjun Jing
Comparison fields: 5 of 80
  • Oncology 244
  • Cell Biology 129
  • Ophthalmology 54
  • Immunology 112
  • Molecular Biology 257
Replace Franca Piras with:
Franca Piras Italy
H Ostrowska Poland
Laura Collins United States
Mary Cherian‐Shaw United States
Lisa Corbett United Kingdom
Diona L. Damian Australia
Wenjing Luo China
Rossella Titone United States
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Citations per field
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Citations per year

Countries citing papers authored by Guangjun Jing

Since Specialization
Citations

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

Fields of papers citing papers by Guangjun Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 2018126
3 201966
4 201548
5 201533
6 201031
7 201023
8 201019
9 202517
10 202316
11 201415
12 202013
13 201912
14 201012
15 202212
16 20119
17 20098
18 20107
19 20107
20 20106

About Guangjun Jing

Guangjun Jing is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Genetics, having authored 22 papers that have together received 643 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Oncology (244 citations), Cell Biology (129 citations), Ophthalmology (54 citations), Immunology (112 citations) and Molecular Biology (257 citations). Guangjun Jing has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Joshua J. Wang, Sarah X. Zhang, Songlin Shi, Wei Sang, Kailin Xu, Ming Shi, Hai Cheng, Junnian Zheng, Bin Pan and Jiang Cao. Their work appears in journals such as Journal of Cellular Biochemistry, Cell Death Discovery, Cellular and Molecular Neurobiology, Journal of Inflammation and Journal of Gastroenterology and Hepatology.

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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