Xin Shi

1.6k citations
52 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Mesenchymal stem cell research (7 papers)Wound Healing and Treatments (5 papers)Tendon Structure and Treatment (5 papers)
Journals
SHILAP Revista de lepidopterologíaCancerJournal of Applied Physiology
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xin Shi

50 papers receiving 1.1k citations

Hit Papers

Pulp stem cells derived from human permanent and deciduou...2020202620222024202050100150

Peers

Xin Shi
Comparison fields: 5 of 117
  • Molecular Biology 429
  • Pediatrics, Perinatology and Child Health 192
  • Genetics 165
  • Surgery 144
  • Genetics 137
Replace Joji Kusuyama with:
Joji Kusuyama Japan
Martin Haug Switzerland
N.M. Ocarino Brazil
Melanie Haffner‐Luntzer Germany
Kazuaki Nonaka Japan
Troels T. Andreassen Denmark
Héctor R. Martínez Mexico
Gurpreet S. Baht United States
Onur Erol Türkiye
Kazumasa Nakao Japan
Xin Shi relative to Joji Kusuyama Japan Joji Kusuyama's profile →
Citations per field
00.5×4.2×
Joji Kusuyama · 1×
Citations per year

Countries citing papers authored by Xin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Shi. A scholar is included among the top collaborators of Xin 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 Xin Shi. Xin 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 0
3 1
4 2
5 4
6 8
7 5
8 6
9 1
10 17
11 1
12 6
13 15
14 21
15 20
16 10
17 4
18 1
19 352
20
[Living related liver transplantation: a case report].
1

About Xin Shi

Xin Shi is a scholar working on Urology, Transplantation and Rehabilitation, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Wound Healing and Treatments (5 papers) and Tendon Structure and Treatment (5 papers). The work is most often cited by research in Urology (105 citations), Genetics (165 citations) and Pediatrics, Perinatology and Child Health (192 citations). Xin Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Mao, Charlotte A. Smith, Robert A. Waterland, Dana C. Dolinoy, Yan Liu, B. H. Foresman, P. B. Raven, Marc D. Basson, Ping Zhang and Zhang Ping. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Journal of Applied Physiology.

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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