Kai Jing

643 citations
33 papers · 471 · h-index 12

Impact in

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

Papers in

Kai Jing

32 papers receiving 464 citations

Peers

Kai Jing
Comparison fields: 5 of 102
  • Cancer Research 133
  • Hepatology 36
  • Molecular Biology 228
  • Pharmacology 45
  • Rheumatology 39
Replace Hairuszah Ithnin with:
Hairuszah Ithnin Malaysia
Yutong Li China
Mingjun Wu China
Dawid Wnuk Poland
Osama A. Mohammed Saudi Arabia
Yaqing Zhang China
Seyed Mohammad Gheibihayat Iran
Hongbin Luo China
Kwang-Youn Kim South Korea
Kai Jing relative to Hairuszah Ithnin Malaysia Hairuszah Ithnin's profile →
Citations per field
00.5×5.8×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 201382
3 202044
4 201235
5 202326
6 201924
7 202317
8 201617
9 200914
10 202314
11 202112
12 202111
13 20159
14 20139
15 20238
16 20168
17 20066
18 20235
19
Human multi-drug resistant hepatocellular carcinoma induced in nude mice by B-ultrasonographically-directed orthotopic implantation: a new experimental model.
20075
20 20243

About Kai Jing

Kai Jing is a scholar working on Molecular Biology, Surgery, Cancer Research, Biomedical Engineering and Oncology, having authored 33 papers that have together received 471 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), CRISPR and Genetic Engineering (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mesenchymal stem cell research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Natural product bioactivities and synthesis (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Cancer Research (133 citations), Hepatology (36 citations), Molecular Biology (228 citations), Pharmacology (45 citations) and Rheumatology (39 citations). Kai Jing has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xianjun Fang, Huanjie Shao, Haihong Huang, Chunrong Yu, Michael O. Idowu, Yibao Ma, Michael R. Waters, Sarah Spiegel, Guoyan Xu and Yan Zhang. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Journal of Physiology and Biochemistry, Technology in Cancer Research & Treatment, Stem Cells and Development and Advanced Healthcare Materials.

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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