Jingya Liu

750 citations
25 papers · 545 indexed · 1 hit paper · h-index 10
Topics
Cancer Immunotherapy and Biomarkers (3 papers)RNA Interference and Gene Delivery (2 papers)Lung Cancer Diagnosis and Treatment (2 papers)

In The Last Decade

Jingya Liu

21 papers receiving 539 citations

Hit Papers

Role of exosomal non-coding RNAs from tumor cells and tum...2022202620232024202250100150200

Peers

Jingya Liu
Comparison fields: 5 of 88
  • Molecular Biology 330
  • Cancer Research 242
  • Immunology 89
  • Human-Computer Interaction 60
  • Biomedical Engineering 43
Replace Christina Khouri with:
Christina Khouri Germany
Zhongqi Cui China
Hitoshi Hongo Japan
Mengya Gao China
Chandrama Mukherjee India
Woo Young Kwon South Korea
Kevin Tong United States
Rajeev Pandey United States
Qian Dai China
Jingya Liu relative to Christina Khouri Germany Christina Khouri's profile →
Citations per field
00.5×8.1×
Christina Khouri · 1×
Citations per year

Countries citing papers authored by Jingya Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jingya Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingya Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingya Liu. A scholar is included among the top collaborators of Jingya Liu 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 Jingya Liu. Jingya Liu 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
#WorkIndexed citations
1 0
2 0
3 5
4 6
5 8
6 0
7 23
8
Role of exosomal non-coding RNAs from tumor cells and tumor-associated macrophages in the tumor microenvironmentbreakdown →
223
9 21
10 7
11 6
12 4
13 8
14 16
15 7
16 8
17 61
18 9
19 32
20 71

About Jingya Liu

Jingya Liu is a scholar working on Immunology, Biochemistry and Cancer Research, having authored 25 papers that have together received 545 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), RNA Interference and Gene Delivery (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (242 citations), Human-Computer Interaction (60 citations) and Molecular Biology (330 citations). Jingya Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ting Yu, Lingjun Zhu, Yi Chen, Yongqian Shu, Ling Ma, Yuchen Guo, Yizhang Chen, Yingli Tian, Matt Huenerfauth and Yuancheng Ye. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

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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