Xiaoning Si

2.1k citations
30 papers · 1.8k · h-index 22

Impact in

Papers in

    • Viral Infections and Immunology Research 16
    • Ubiquitin and proteasome pathways 4
    • Protein Tyrosine Phosphatases 3
    • Wnt/β-catenin signaling in development and cancer 3
    • Signaling Pathways in Disease 2
    • RNA Research and Splicing 2

Xiaoning Si

30 papers receiving 1.8k citations

Peers

Xiaoning Si
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 444
  • Molecular Medicine 93
  • Epidemiology 363
  • Immunology 210
  • Cell Biology 135
Replace Tsung-Hsien Chang with:
Tsung-Hsien Chang Taiwan
Xin Tan China
Pertteli Salmenperä Finland
Oliver Drews Germany
Andreas Henke Germany
Heiyoung Park United States
Estelle Cormet‐Boyaka United States
Keding Cheng Canada
Kazumichi Kuroda Japan
Qian Xu China
Xiaoning Si relative to Tsung-Hsien Chang Taiwan Tsung-Hsien Chang's profile →
Citations per field
00.5×2×4×6×7.4×
Tsung-Hsien Chang · 1×
Citations per year

Countries citing papers authored by Xiaoning Si

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008323
2 2000181
3 2010137
4 2007117
5 2003115
6 200598
7 200597
8 200576
9 200872
10 201457
11 200550
12 200849
13 200748
14 200642
15 201442
16 201340
17 200935
18 201033
19 200131
20 200930

About Xiaoning Si

Xiaoning Si is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Immunology and Molecular Medicine, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (16 papers), interferon and immune responses (4 papers), Ubiquitin and proteasome pathways (4 papers), Protein Tyrosine Phosphatases (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Signaling Pathways in Disease (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (444 citations), Molecular Medicine (93 citations), Epidemiology (363 citations), Immunology (210 citations) and Cell Biology (135 citations). Xiaoning Si has collaborated with scholars based in Canada, China and Singapore. Frequent co-authors include Bruce M. McManus, Honglin Luo, Jerry Thwin Wong, Guang Gao, Jingchun Zhang, Jingchun Zhang, Catherine J. Pallen, Mitra Esfandiarei, Wanjin Hong and Qi Zeng. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Virus Research, Circulation Research and Antiviral Research.

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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