Yi Shen

1.6k citations
71 papers · 1.0k · h-index 19

Impact in

Papers in

    • Esophageal Cancer Research and Treatment 11
    • Advanced biosensing and bioanalysis techniques 6
    • RNA Interference and Gene Delivery 2

Yi Shen

63 papers receiving 986 citations

Peers

Yi Shen
Comparison fields: 5 of 102
  • Cancer Research 121
  • Pulmonary and Respiratory Medicine 219
  • Molecular Biology 306
  • Surgery 164
  • Oncology 99
Replace Koralia Paschalaki with:
Koralia Paschalaki United Kingdom
Yoon Ji Choi South Korea
Maoming Xiong China
Jianwen Bai China
Li Ma China
Hong Cheng China
George Kyrgias Greece
Lili Dong China
Nishant Patel United States
Eric Hernady United States
Yi Shen relative to Koralia Paschalaki United Kingdom Koralia Paschalaki's profile →
Citations per field
00.5×
Koralia Paschalaki · 1×
Citations per year

Countries citing papers authored by Yi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 2018100
3 199651
4 201551
5 202249
6 201848
7 201343
8 201442
9 201937
10 201936
11 201835
12 201430
13 201825
14 201524
15 201323
16 202022
17 202121
18 202021
19 202020
20 201814

About Yi Shen

Yi Shen is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Nutrition and Health in Aging (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers), Acupuncture Treatment Research Studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Cancer Research (121 citations), Pulmonary and Respiratory Medicine (219 citations), Molecular Biology (306 citations), Surgery (164 citations) and Oncology (99 citations). Yi Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ganglin Wang, Nan Ma, Zhi Li, Nannan Guo, Zhenjun Li, Tong Qiu, Zhuangzhuang Cong, Xiaodong Han, Chao Zheng and Zou Xiang. Their work appears in journals such as European Journal of Surgical Oncology, PLoS ONE, Annals of Palliative Medicine, The American Surgeon and Advanced Functional Materials.

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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