Qun Shi

6.6k citations
116 papers · 4.3k indexed · 1 hit paper · h-index 30

Impact in

  • Genetics top 1%
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

Qun Shi

115 papers receiving 4.2k citations

Hit Papers

Evidence for Circulating Bone Marrow-Derived Endothelial Cells 1998 · 1.3k citations
1.3k19982026200720164008001.2k

Peers

Qun Shi
Comparison fields: 5 of 152
  • Genetics 629
  • Cancer Research 676
  • Biomaterials 559
  • Molecular Biology 2.1k
  • Hematology 265
Replace Laura E. Mead with:
Laura E. Mead United States
Aernout Luttun Belgium
Dirk Walter Germany
Daniel J. Ceradini United States
Nicholas Bastidas United States
Hyun‐Jai Cho South Korea
Philip C. Trackman United States
Mihail Hristov Germany
Béatrice Dozin Italy
Matthew L. Springer United States
Qun Shi relative to Laura E. Mead United States Laura E. Mead's profile →
Citations per field
00.5×1.6×
Laura E. Mead · 1×
Citations per year

Countries citing papers authored by Qun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qun Shi Line = papers co-authored together Qun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20233
5 20225
6 20213
7 201821
8 20158
9
[Clinical research of immunoglobin 4-related Mikulicz's disease].
20131
10 201331
11 201112
12 201012
13 200980
14
Global demographic change, policy responses and their economic implications
200717
15
Knoevenagel Condensation Reaction Catalyzed by Functionalized Ionic Liquid
20071
16 200257
17 200033
18 199914
19 19978
20 199015

About Qun Shi

Qun Shi is a scholar working on Biomaterials, Hematology, Rheumatology, Surgery and Pulmonary and Respiratory Medicine, having authored 116 papers that have together received 4.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (15 papers), Angiogenesis and VEGF in Cancer (11 papers), Cardiac and Coronary Surgery Techniques (9 papers), Aortic Disease and Treatment Approaches (9 papers), Coronary Interventions and Diagnostics (9 papers), Aortic aneurysm repair treatments (7 papers), MicroRNA in disease regulation (7 papers) and Infectious Aortic and Vascular Conditions (6 papers). The work is most often cited by research in Genetics (629 citations), Cancer Research (676 citations), Biomaterials (559 citations), Molecular Biology (2.1k citations) and Hematology (265 citations). Qun Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lester R. Sauvage, Moses Hong-De Wu, William P. Hammond, Atsushi Ishida, Rainer Storb, Yuji Fujita, Errol S. Wijelath, Shahin Rafii, Robert Möhle and Cong Yu. Their work appears in journals such as Annals of Vascular Surgery, Journal of Vascular Surgery, Blood, Scientific Reports and International Journal of Hygiene and Environmental Health.

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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2026