Yuankai Shi

1.7k citations
101 papers · 997 indexed · 1 hit paper · h-index 14
Topics
Lung Cancer Treatments and Mutations (36 papers)Lymphoma Diagnosis and Treatment (33 papers)Lung Cancer Research Studies (28 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Yuankai Shi

94 papers receiving 979 citations

Hit Papers

Tyrosine kinase inhibitors for solid tumors in the past 2...2020202620222024202050100150200250

Peers

Yuankai Shi
Comparison fields: 5 of 81
  • Oncology 547
  • Pulmonary and Respiratory Medicine 395
  • Molecular Biology 276
  • Pathology and Forensic Medicine 184
  • Immunology 141
Replace Pallavi S. Mishra‐Kalyani with:
Pallavi S. Mishra‐Kalyani United States
Rastilav Bahleda France
Bradley G. Somer United States
Edgardo S. Santos United States
Anna Minchom United Kingdom
Dongmei Ji China
Véronique D’Hondt France
Gregory Friberg United States
Michela Roberto Italy
Jiuda Zhao China
Yuankai Shi relative to Pallavi S. Mishra‐Kalyani United States Pallavi S. Mishra‐Kalyani's profile →
Citations per field
00.5×1.5×2.0×
Pallavi S. Mishra‐Kalyani · 1×
Citations per year

Countries citing papers authored by Yuankai Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuankai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuankai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuankai Shi. A scholar is included among the top collaborators of Yuankai 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 Yuankai Shi. Yuankai 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
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 3
6 1
7 3
8 2
9 10
10 1
11 11
12 1
13 19
14 26
15 28
16 20
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[Standards for the diagnosis and treatment of primary lung cancer (2015 version) in China].
37
18
[Standards for the diagnosis and treatment of malignant lymphoma (2015 version) in China].
4
19 3
20 2

About Yuankai Shi

Yuankai Shi is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 997 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (36 papers), Lymphoma Diagnosis and Treatment (33 papers) and Lung Cancer Research Studies (28 papers). The work is most often cited by research in Oncology (547 citations), Pulmonary and Respiratory Medicine (395 citations) and Pathology and Forensic Medicine (184 citations). Yuankai Shi has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Liling Huang, Shiyu Jiang, Xiuyi Zhi, Xiaohong Han, Jinming Yu, Sheng Yang, Jinming Yu, Yu Zhou, Xiaohui He and Tongji Xie. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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