Jing Jing

638 citations
26 papers · 242 · h-index 11

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management
    • Air Quality and Health Impacts
    • Climate Change and Health Impacts

Papers in

    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 2
    • Esophageal Cancer Research and Treatment 3

Jing Jing

24 papers receiving 236 citations

Peers

Jing Jing
Comparison fields: 5 of 67
  • Oncology 89
  • Health, Toxicology and Mutagenesis 27
  • Pathology and Forensic Medicine 32
  • Dermatology 12
  • Genetics 13
Replace Xiaoyan Ming with:
Xiaoyan Ming China
Wangcheng Xie China
Yujie Lei China
Jette Sønderskov Gørløv Denmark
Martina Tavarelli Italy
Yannan Yuan China
Nae Yu Kim South Korea
Seung Taek Lim South Korea
A. Nieters Spain
Jing Jing relative to Xiaoyan Ming China Xiaoyan Ming's profile →
Citations per field
00.5×4.3×
Xiaoyan Ming · 1×
Citations per year

Countries citing papers authored by Jing Jing

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202324
2 202022
3 201920
4 202118
5 202118
6 201915
7 202514
8 201414
9 202314
10 202113
11 202111
12 201810
13 20209
14 20237
15 20257
16 20236
17 20226
18 19943
19 20232
20 20222

About Jing Jing

Jing Jing is a scholar working on Oncology, Surgery, Radiology, Nuclear Medicine and Imaging, Immunology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 242 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Esophageal Cancer Research and Treatment (3 papers), Ferroptosis and cancer prognosis (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Air Quality and Health Impacts (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Oncology (89 citations), Health, Toxicology and Mutagenesis (27 citations), Pathology and Forensic Medicine (32 citations), Dermatology (12 citations) and Genetics (13 citations). Jing Jing has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Qi, Wenbiao Hu, Guihua Zhuang, Wenqiang Wei, Leslie J. Dickmann, Joseph A. Ware, Eric L. Reyner, Matts Kågedal, Junming Li and Ling Fang. Their work appears in journals such as Blood, Molecular Cancer, Environmental Science and Pollution Research, Cancer Medicine and International Immunopharmacology.

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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