Ying Shen

2.5k citations
55 papers · 1.4k indexed · 2 hit papers · h-index 18
Topics
Cancer-related molecular mechanisms research (12 papers)RNA modifications and cancer (12 papers)Multiple Myeloma Research and Treatments (7 papers)

In The Last Decade

Ying Shen

52 papers receiving 1.4k citations

Hit Papers

Ferroptosis, a novel pharmacological mechanism of anti-ca...202020262022202420202022100200300400

Peers

Ying Shen
Comparison fields: 5 of 107
  • Molecular Biology 836
  • Cancer Research 579
  • Pulmonary and Respiratory Medicine 471
  • Oncology 223
  • Orthopedics and Sports Medicine 140
Replace Hua Guo with:
Hua Guo United States
Janine Arts Netherlands
Alpaslan Tasdogan Germany
Kazunori Hamamura Japan
Wei Ji China
Jermaine Goveia Belgium
Tal Hirschhorn United States
Ilaria Buondonno Italy
Simona Delle Monache Italy
Ying Shen relative to Hua Guo United States Hua Guo's profile →
Citations per field
00.5×1.5×1.8×
Hua Guo · 1×
Citations per year

Countries citing papers authored by Ying Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Shen. A scholar is included among the top collaborators of Ying Shen 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 Ying Shen. Ying Shen 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 1
2 1
3 2
4 3
5 1
6 1
7 10
8 1
9 23
10 4
11 17
12 7
13 5
14 32
15 1
16 36
17 49
18 13
19 86
20 53

About Ying Shen

Ying Shen is a scholar working on Cancer Research, Hematology and Oncology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (12 papers) and Multiple Myeloma Research and Treatments (7 papers). The work is most often cited by research in Cancer Research (579 citations), Orthopedics and Sports Medicine (140 citations) and Pulmonary and Respiratory Medicine (471 citations). Ying Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Peng Shang, Bin Zhao, Huanhuan Lv, Yanwei Su, Zheyuan Zhang, Liangfu Zhou, Thomas J. Wronski, M. Li, Xiaobo Huang and Wolf‐Dieter Rausch. Their work appears in journals such as Blood, Scientific Reports 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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