Sheng Xiao

6.0k citations
61 papers · 4.3k indexed · 1 hit paper · h-index 32
Topics
Galectins and Cancer Biology (16 papers)Immune Cell Function and Interaction (13 papers)Cancer-related molecular mechanisms research (7 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Sheng Xiao

58 papers receiving 4.2k citations

Hit Papers

TIM-3 restrains anti-tumour immunity by regulating inflam...2021202620222024202150100150200250

Peers

Sheng Xiao
Comparison fields: 5 of 110
  • Immunology 2.5k
  • Molecular Biology 1.4k
  • Oncology 1.1k
  • Pathology and Forensic Medicine 415
  • Pulmonary and Respiratory Medicine 400
Replace Shingo Nakayamada with:
Shingo Nakayamada Japan
José C. Crispín United States
Robert A. DeAngelis United States
Nikoletta Nagy Belgium
Teresa Bellón Spain
Hiroaki Niiro Japan
Shirou Fukuhara Japan
Christothea M. Constandinou United Kingdom
Vasileios C. Kyttaris United States
Christian Lood United States
Sheng Xiao relative to Shingo Nakayamada Japan Shingo Nakayamada's profile →
Citations per field
00.5×1.5×
Shingo Nakayamada · 1×
Citations per year

Countries citing papers authored by Sheng Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Xiao. A scholar is included among the top collaborators of Sheng Xiao 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 Sheng Xiao. Sheng Xiao 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 0
3 1
4 11
5 2
6 48
7 46
8 60
9 60
10 13
11 77
12 159
13 253
14 319
15 114
16 302
17 12
18 9
19 9
20 29

About Sheng Xiao

Sheng Xiao is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 61 papers that have together received 4.3k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (16 papers), Immune Cell Function and Interaction (13 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Immunology (2.5k citations), Oncology (1.1k citations) and Nephrology (246 citations). Sheng Xiao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Vijay K. Kuchroo, Ana C. Anderson, Chen Zhu, Craig R. Brooks, Samia J. Khoury, Chuan Wu, Raymond A. Sobel, Jonathan A. Fletcher, Bing Zhu and Joseph V. Bonventre. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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