Jing Zhao

4.1k citations
125 papers · 3.4k · h-index 30

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • Angiogenesis and VEGF in Cancer 10
    • Sphingolipid Metabolism and Signaling 8
    • Autophagy in Disease and Therapy 23

Jing Zhao

122 papers receiving 3.4k citations

Peers

Jing Zhao
Comparison fields: 5 of 115
  • Cancer Research 439
  • Immunology 594
  • Molecular Biology 1.8k
  • Biological Psychiatry 42
  • Epidemiology 575
Replace Violeta Yu with:
Violeta Yu United States
Sudharsana Rao Ande Canada
Guadalupe Sabio Spain
Weiqin Jiang United States
Laura Masuelli Italy
Feng Qian China
Tsung-I Peng Taiwan
Michitaka Ozaki Japan
Masaya Imoto Japan
Qing Huang China
Jing Zhao relative to Violeta Yu United States Violeta Yu's profile →
Citations per field
00.5×
Violeta Yu · 1×
Citations per year

Countries citing papers authored by Jing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016351
2 2018221
3 2008187
4 2014175
5 2015142
6 2010111
7 2015105
8 201673
9 201860
10 201560
11 200860
12 200753
13 201046
14 201443
15 201842
16 201541
17 201640
18 202040
19 201036
20 201034

About Jing Zhao

Jing Zhao is a scholar working on Molecular Biology, Epidemiology, Immunology, Cell Biology and Cancer Research, having authored 125 papers that have together received 3.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (23 papers), Angiogenesis and VEGF in Cancer (10 papers), Cell Adhesion Molecules Research (10 papers), MicroRNA in disease regulation (9 papers), Sphingolipid Metabolism and Signaling (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers) and Bioactive Compounds and Antitumor Agents (5 papers). The work is most often cited by research in Cancer Research (439 citations), Immunology (594 citations), Molecular Biology (1.8k citations), Biological Psychiatry (42 citations) and Epidemiology (575 citations). Jing Zhao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jun‐Ying Miao, Bao‐Xiang Zhao, Shangli Zhang, ShangLi Zhang, Le Su, Wei Zhao, Wanwan Huai, Lining Zhang, Hui Song and Chuandong Fan. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Journal of Cellular Physiology, APOPTOSIS, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Acta Pharmacologica Sinica.

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.

Explore authors with similar magnitude of impact