Xiaoming Shu

2.2k citations
77 papers · 1.6k · h-index 21

Impact in

    • Eosinophilic Disorders and Syndromes
    • Rheumatoid Arthritis Research and Therapies
    • Inflammatory Myopathies and Dermatomyositis

Papers in

    • Inflammatory Myopathies and Dermatomyositis 39
    • Eosinophilic Disorders and Syndromes 7
    • Rheumatoid Arthritis Research and Therapies 5

Xiaoming Shu

73 papers receiving 1.6k citations

Peers

Xiaoming Shu
Comparison fields: 5 of 95
  • Rheumatology 415
  • Epidemiology 924
  • Dermatology 133
  • Immunology 290
  • Gastroenterology 34
Replace Fumitaka Mizoguchi with:
Fumitaka Mizoguchi Japan
Alessandra Nerviani United Kingdom
Fabian A. Mendoza United States
Ryosuke Saigusa Japan
Jacob Bejar Israel
Antonio Pecoraro Italy
Adrian Băican Romania
Chin‐Jung Hsu Taiwan
Małgorzata Wągrowska‐Danilewicz Poland
Raffaella Santi Italy
Xiaoming Shu relative to Fumitaka Mizoguchi Japan Fumitaka Mizoguchi's profile →
Citations per field
00.5×7.8×
Fumitaka Mizoguchi · 1×
Citations per year

Countries citing papers authored by Xiaoming Shu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201193
3 201491
4 201489
5 201477
6 201572
7 202070
8 201770
9 202260
10 201450
11 201746
12 201942
13 202340
14 201536
15 201636
16 201135
17 201731
18 201528
19 201627
20 201823

About Xiaoming Shu

Xiaoming Shu is a scholar working on Epidemiology, Rheumatology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (39 papers), Eosinophilic Disorders and Syndromes (7 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Cancer-related molecular mechanisms research (4 papers), Vasculitis and related conditions (3 papers), Pregnancy and preeclampsia studies (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Rheumatology (415 citations), Epidemiology (924 citations), Dermatology (133 citations), Immunology (290 citations) and Gastroenterology (34 citations). Xiaoming Shu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Guochun Wang, Qinglin Peng, Xin Lu, Sigong Zhang, Hanbo Yang, Xin Lü, Guochun Wang, Yongpeng Ge, Xiaolan Tian and Shanshan Li. Their work appears in journals such as Lara D. Veeken, Scientific Reports, Frontiers in Immunology, PLoS ONE and Medicine.

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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