Kai Jing

678 citations
36 papers · 517 · h-index 12

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Liver physiology and pathology

Papers in

Kai Jing

33 papers receiving 508 citations

Peers

Kai Jing
Comparison fields: 5 of 103
  • Cancer Research 127
  • Hepatology 32
  • Molecular Biology 211
  • Rheumatology 36
  • Geriatrics and Gerontology 8
Replace Hairuszah Ithnin with:
Hairuszah Ithnin Malaysia
Lanlan Wang China
Ziqi Ye China
Lamia Heikal Egypt
Zhipeng Li China
Mingjun Wu China
Lijing Wang China
Yaqing Zhang China
Qiufang Zhang China
Kai Jing relative to Hairuszah Ithnin Malaysia Hairuszah Ithnin's profile →
Citations per field
00.5×10×14×
Hairuszah Ithnin · 1×
Citations per year

Countries citing papers authored by Kai Jing

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 201388
3 202046
4 201236
5 202330
6 201925
7 202321
8 202320
9 201618
10 200915
11 202113
12 202112
13 201310
14 20239
15 20159
16 20068
17 20168
18 20256
19 20236
20
Human multi-drug resistant hepatocellular carcinoma induced in nude mice by B-ultrasonographically-directed orthotopic implantation: a new experimental model.
20075

About Kai Jing

Kai Jing is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Cancer Research and Control and Systems Engineering, having authored 36 papers that have together received 517 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), CRISPR and Genetic Engineering (3 papers), Glycosylation and Glycoproteins Research (2 papers), Flavonoids in Medical Research (2 papers), Mesenchymal stem cell research (2 papers), Piezoelectric Actuators and Control (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Cancer Research (127 citations), Hepatology (32 citations), Molecular Biology (211 citations), Rheumatology (36 citations) and Geriatrics and Gerontology (8 citations). Kai Jing has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Huanjie Shao, Xianjun Fang, Chunrong Yu, Haihong Huang, Michael O. Idowu, Yibao Ma, Michael R. Waters, Guoyan Xu, Sarah Spiegel and Yan Zhang. Their work appears in journals such as Advanced Healthcare Materials, Circulation Journal, Plant Molecular Biology, Medicine and Oncotarget.

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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