Xiaoshan Su

938 citations
15 papers · 668 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

Xiaoshan Su

13 papers receiving 656 citations

Peers

Xiaoshan Su
Comparison fields: 5 of 110
  • Infectious Diseases 271
  • Modeling and Simulation 40
  • Neurology 50
  • Critical Care and Intensive Care Medicine 16
  • Pulmonary and Respiratory Medicine 84
Replace Weijing Wu with:
Weijing Wu China
Xihua Lian China
Isra Ahmad Farouk Malaysia
Jianyong Zhu China
Lianzi Wang China
Huihui Wang China
Janina Krambrich Sweden
Dario Akaberi Sweden
Xian Zhen Wu United States
Maxim D. Oleynikov United States
Xiaoshan Su relative to Weijing Wu China Weijing Wu's profile →
Citations per field
00.5×1.5×1.8×
Weijing Wu · 1×
Citations per year

Countries citing papers authored by Xiaoshan Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020451
2 202249
3 202240
4 201731
5 202124
6 202122
7 201916
8 202111
9 20219
10 20236
11 20225
12 20233
13 20231
14 20230
15 20250

About Xiaoshan Su

Xiaoshan Su is a scholar working on Cancer Research, Microbiology, Immunology, Critical Care and Intensive Care Medicine and Molecular Biology, having authored 15 papers that have together received 668 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (1 paper), Cell Adhesion Molecules Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Electrocatalysts for Energy Conversion (1 paper), Advanced battery technologies research (1 paper), Actinomycetales infections and treatment (1 paper) and Supercapacitor Materials and Fabrication (1 paper). The work is most often cited by research in Infectious Diseases (271 citations), Modeling and Simulation (40 citations), Neurology (50 citations), Critical Care and Intensive Care Medicine (16 citations) and Pulmonary and Respiratory Medicine (84 citations). Xiaoshan Su has collaborated with scholars based in China, Australia and Italy. Frequent co-authors include Zhixing Zhu, Weijing Wu, Yiming Zeng, Xihua Lian, Giuseppe A. Marraro, Xiaoping Lin, Zenglin Wang, Qiangqiang Sun, Chuan Zhao and Jingjing Bai. Their work appears in journals such as Respiratory Research, BMJ Open, BMC Pulmonary Medicine, Toxicology in Vitro and Electrochimica Acta.

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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