Jing Jing

1.5k total citations · 2 hit papers
41 papers, 922 citations indexed

About

Jing Jing is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Jing Jing has authored 41 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 20 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Jing Jing's work include Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Jing Jing is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Cancer Genomics and Diagnostics (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Jing Jing collaborates with scholars based in China, United States and Australia. Jing Jing's co-authors include Xiujing He, Hubing Shi, Xiaowei Liu, Xuelei Ma, Yangfu Jiang, Yunuo Zhao, Ting Luo, Xi Wu, Yujie Zhao and Jinen Song and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Jing Jing

36 papers receiving 907 citations

Hit Papers

Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of ci... 2022 2026 2023 2024 2023 2022 50 100 150 200

Peers

Jing Jing
Comparison fields: 5 of 103
  • Molecular Biology 346
  • Oncology 327
  • Immunology 189
  • Cancer Research 168
  • Pulmonary and Respiratory Medicine 118
Replace Yu Guo with:
Yu Guo China
Mohammad Hossein Kazemi Iran
Zhixing Guo China
Taotao Dong China
Rongzhen Luo China
Shane O’Grady Ireland
Siu W. Lam Netherlands
Alexandru Blidaru Romania
Yuting Chen China
Khadijeh Barzaman Iran
Yu Guo China View profile →
Citations per field, relative to Jing Jing
Jing Jing · 1×
Citations per year, relative to Jing Jing
Jing Jing · 1×

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-authorship network of co-authors of Jing Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jing. A scholar is included among the top collaborators of Jing Jing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Jing. Jing Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 0
3 8
4 7
5 0
6 2
7 5
8 0
9 0
10 45
11
Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance breakdown →
217
12 11
13 4
14 20
15 5
16 15
17 52
18 7
19 21
20 19

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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