Shaoyan Si

956 citations
38 papers · 728 · h-index 14

Impact in

Papers in

Shaoyan Si

37 papers receiving 712 citations

Peers

Shaoyan Si
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 209
  • Biomaterials 102
  • Orthopedics and Sports Medicine 63
  • Obstetrics and Gynecology 47
  • Rehabilitation 36
Replace Mi Kyung Kim with:
Mi Kyung Kim South Korea
Douaa Sayed Egypt
Yolanda Helfrich United States
E Trabucchi Italy
Ann R. Schwentker United States
Wenji Wang China
Kuo‐Ti Peng Taiwan
Flavia Baderca Romania
Andrzej Wiczkowski Poland
Fahimeh Abdollahimajd Iran
Shaoyan Si relative to Mi Kyung Kim South Korea Mi Kyung Kim's profile →
Citations per field
00.5×3.5×
Mi Kyung Kim · 1×
Citations per year

Countries citing papers authored by Shaoyan Si

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyan Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaoyan Si, 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 Shaoyan Si Line = papers co-authored together Shaoyan Si links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016104
2 201778
3 201476
4 201276
5 201356
6 200838
7 201938
8 202128
9 201524
10 201522
11 202020
12 201618
13 200514
14 200614
15 202313
16
Simulated microgravity affects ciprofloxacin susceptibility and expression of acrAB-tolC genes in E. coli ATCC25922.
201513
17 202412
18 201912
19 200611
20 200810

About Shaoyan Si

Shaoyan Si is a scholar working on Molecular Biology, Physiology, Immunology, Pathology and Forensic Medicine and Genetics, having authored 38 papers that have together received 728 indexed citations. Recurring topics across this work include Spaceflight effects on biology (8 papers), Immunotherapy and Immune Responses (7 papers), Cancer Research and Treatments (4 papers), Vitamin D Research Studies (4 papers), Virus-based gene therapy research (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (209 citations), Biomaterials (102 citations), Orthopedics and Sports Medicine (63 citations), Obstetrics and Gynecology (47 citations) and Rehabilitation (36 citations). Shaoyan Si has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Shujun Song, Kai Feng, Junli Liu, Jun‐Li Liu, Yanchuan Guo, Jie Wu, Ling Zhou, Ying Wang, Lili Sun and Haiying Jia. Their work appears in journals such as PLoS ONE, Cancer Immunology Immunotherapy, World Journal of Gastroenterology, Chemistry - An Asian Journal and Inorganic Chemistry Frontiers.

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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