Jing Cui

454 citations
19 papers · 346 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2
    • NF-κB Signaling Pathways 1
    • CAR-T cell therapy research 2

Jing Cui

19 papers receiving 343 citations

Peers

Jing Cui
Comparison fields: 5 of 58
  • Cancer Research 134
  • Oncology 74
  • Molecular Biology 201
  • Toxicology 5
  • Pulmonary and Respiratory Medicine 42
Replace Sarina R. Cameron with:
Sarina R. Cameron Australia
Weidong Wei China
Patrícia Izetti Brazil
Faying Xu China
Yabing Zheng China
Francesca Sanges Italy
Er‐Bin Zhang China
Diana Hwang Liang United States
Carla Kantara United States
Yingxia Ning China
Jing Cui relative to Sarina R. Cameron Australia Sarina R. Cameron's profile →
Citations per field
00.5×1.5×2×2.4×
Sarina R. Cameron · 1×
Citations per year

Countries citing papers authored by Jing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202159
2 201953
3 202136
4 201334
5 202226
6 201718
7 201817
8 201716
9 201715
10 202015
11 202113
12 201512
13 201712
14 201811
15 20203
16 20212
17 20252
18 20181
19 20241

About Jing Cui

Jing Cui is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Behavioral Neuroscience, having authored 19 papers that have together received 346 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (2 papers), Fibroblast Growth Factor Research (2 papers), RNA modifications and cancer (2 papers), MicroRNA in disease regulation (2 papers), Heat shock proteins research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cancer Research (134 citations), Oncology (74 citations), Molecular Biology (201 citations), Toxicology (5 citations) and Pulmonary and Respiratory Medicine (42 citations). Jing Cui has collaborated with scholars based in China, Hong Kong and Romania. Frequent co-authors include Jiongxin Xiong, Yao Guo, Heshui Wu, Tao Peng, Xiaoxiao Zhou, Kun Liu, Xin-Lai Qian, Qiang Feng, Ju-Lun Yang and Yong‐Xia Wang. Their work appears in journals such as BioMed Research International, Aging, Disease Markers, Journal of Cancer and Molecular 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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