Wei Shi

9.5k citations
123 papers · 7.2k indexed · 1 hit paper · h-index 46
Topics
Neonatal Respiratory Health Research (50 papers)Congenital Diaphragmatic Hernia Studies (30 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Wei Shi

120 papers receiving 7.1k citations

Hit Papers

Essential role of Stat6 in IL-4 signalling199620262006201619964008001.2k

Peers

Wei Shi
Comparison fields: 5 of 146
  • Molecular Biology 2.6k
  • Pulmonary and Respiratory Medicine 2.3k
  • Immunology 2.1k
  • Surgery 1.3k
  • Oncology 1.3k
Replace Yujiro Asada with:
Yujiro Asada Japan
Naotoshi Sugimoto Japan
Hiroshi Nagura Japan
Mario Serio Italy
Mary E. Sunday United States
Maureen R. Horton United States
Yoshinori Murakami Japan
Kory J. Lavine United States
Jason R. Rock United States
Makoto Naito Japan
Wei Shi relative to Yujiro Asada Japan Yujiro Asada's profile →
Citations per field
00.5×1.5×2.3×
Yujiro Asada · 1×
Citations per year

Countries citing papers authored by Wei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Shi. A scholar is included among the top collaborators of Wei 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 Wei Shi. Wei 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 1
2 17
3 53
4 4
5 10
6 83
7 3
8 49
9 1
10 1
11 21
12 14
13
The transcription factor IRF4 is essential for TCR affinity-mediated metabolic programming and clonal expansion of T cells (vol 14, pg 1155, 2013)
2
14 18
15 101
16 46
17 63
18 60
19 47
20 285

About Wei Shi

Wei Shi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Immunology, having authored 123 papers that have together received 7.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (50 papers), Congenital Diaphragmatic Hernia Studies (30 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers). The work is most often cited by research in Immunology (2.1k citations), Pulmonary and Respiratory Medicine (2.3k citations) and Oncology (1.3k citations). Wei Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David Warburton, Savério Bellusci, Makoto Matsumoto, Hui Chen, Kenji Nakanishi, Masashi Minami, Nobuaki Yoshida, Kohsuke Takeda, Tadamitsu Kishimoto and Shin‐ichiro Kashiwamura. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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