Yingrui Shi

2.0k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Yingrui Shi is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yingrui Shi has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yingrui Shi's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Head and Neck Cancer Studies (4 papers) and Cancer Cells and Metastasis (3 papers). Yingrui Shi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Head and Neck Cancer Studies (4 papers) and Cancer Cells and Metastasis (3 papers). Yingrui Shi collaborates with scholars based in China, United States and Thailand. Yingrui Shi's co-authors include Qianjin Liao, Linda Oyang, Longzheng Xia, Jinguan Lin, Yujuan Zhou, Shiming Tan, Pin Yi, Shan Rao, Jiaxin Liang and Lu Tang and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Psychopharmacology.

In The Last Decade

Yingrui Shi

24 papers receiving 1.2k citations

Hit Papers

The cancer metabolic reprogramming and immune response 2021 2026 2022 2024 2021 250 500 750

Peers

Yingrui Shi
Comparison fields: 5 of 93
  • Molecular Biology 691
  • Cancer Research 535
  • Immunology 293
  • Oncology 286
  • Pulmonary and Respiratory Medicine 215
Replace Pin Yi with:
Pin Yi China
Zheng Gong China
Qijie Zhao China
Kiran Kurmi United States
Yanlu Xiong China
Jin‐Ku Lee South Korea
Mahdi Abdoli Shadbad Iran
Hyun Min Jeon South Korea
Song Hu China
Pin Yi China View profile →
Citations per field, relative to Yingrui Shi
Yingrui Shi · 1×
Citations per year, relative to Yingrui Shi
Yingrui Shi · 1×

Countries citing papers authored by Yingrui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yingrui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingrui Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yingrui Shi. A scholar is included among the top collaborators of Yingrui Shi 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 Yingrui Shi. Yingrui Shi 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 2
2 8
3 28
4 31
5 15
6 13
7 16
8 10
9 18
10 4
11
The cancer metabolic reprogramming and immune response breakdown →
799
12 2
13 21
14 30
15 26
16 12
17 1
18 1
19 1
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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2026