Shaojun Shi

437 total citations · 1 hit paper
12 papers, 281 citations indexed

About

Shaojun Shi is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Shaojun Shi has authored 12 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Shaojun Shi's work include Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Shaojun Shi is often cited by papers focused on Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Shaojun Shi collaborates with scholars based in Netherlands, China and Belgium. Shaojun Shi's co-authors include Monique M.A. Verstegen, Luc J. W. van der Laan, Feng Xue, Qiuwei Pan, Jeroen de Jonge, Xuan Wang, Clemens W.G.M. Löwik, Laura Mezzanotte, Henk P. Roest and Amir A. Zadpoor and has published in prestigious journals such as Nature Medicine, International Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Shaojun Shi

11 papers receiving 279 citations

Hit Papers

Clinical applications of human organoids 2025 2026 2025 10 20 30 40

Peers

Shaojun Shi
Comparison fields: 5 of 76
  • Molecular Biology 87
  • Hepatology 86
  • Surgery 85
  • Epidemiology 52
  • Oncology 47
Replace Harriet Gaskell with:
Harriet Gaskell United States
Hedwig S. Kruitwagen Netherlands
Haoran Ding China
Branimir Popovic United States
Keungmo Yang South Korea
Haiguang Xin China
Yongyu Mei China
Joana S. Rodrigues Portugal
Jorge Guzman‐Lepe United States
Shaohua Ren China
Harriet Gaskell United States View profile →
Citations per field, relative to Shaojun Shi
Shaojun Shi · 1×
Citations per year, relative to Shaojun Shi
Shaojun Shi · 1×

Countries citing papers authored by Shaojun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojun Shi. A scholar is included among the top collaborators of Shaojun 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 Shaojun Shi. Shaojun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1
Clinical applications of human organoids breakdown →
49
2 1
3 0
4 15
5 20
6 10
7 25
8 39
9 14
10 38
11 27
12 43

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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