Xia Wu

915 citations
58 papers · 605 · h-index 15

Impact in

Papers in

    • Osteomyelitis and Bone Disorders Research 11
    • Eosinophilic Disorders and Syndromes 2
    • Infectious Diseases and Tuberculosis 4

Xia Wu

53 papers receiving 599 citations

Peers

Xia Wu
Comparison fields: 5 of 113
  • Rheumatology 185
  • Orthopedics and Sports Medicine 43
  • Periodontics 20
  • Hematology 50
  • Hepatology 25
Replace Chen Dong with:
Chen Dong China
Dongbao Zhao China
Nobunori Takahashi Japan
Goran Radunović Serbia
Feng Zhan China
Jos N. Hoes Netherlands
Martin Biosse Duplan France
Charles-Joël Menkès France
Jia‐Feng Chen Taiwan
İsmail Şimşek Türkiye
Xia Wu relative to Chen Dong China Chen Dong's profile →
Citations per field
00.5×7.5×
Chen Dong · 1×
Citations per year

Countries citing papers authored by Xia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 200242
3 200837
4 202037
5 201535
6 200334
7 202128
8 201827
9 201326
10 202223
11 201822
12 201819
13 202218
14 202017
15
Serum IgG4 elevation in SAPHO syndrome: does it unmask a disease activity marker?
202014
16 201813
17 201713
18 202112
19 202211
20 202211

About Xia Wu

Xia Wu is a scholar working on Rheumatology, Surgery, Immunology, Molecular Biology and Genetics, having authored 58 papers that have together received 605 indexed citations. Recurring topics across this work include Osteomyelitis and Bone Disorders Research (11 papers), Infectious Diseases and Tuberculosis (4 papers), Mast cells and histamine (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Bone and Joint Diseases (3 papers), Multiple Myeloma Research and Treatments (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Rheumatology (185 citations), Orthopedics and Sports Medicine (43 citations), Periodontics (20 citations), Hematology (50 citations) and Hepatology (25 citations). Xia Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chen Li, Yihan Cao, Yasuo Endo, Takashi Sasano, Atsushi Yoshida, Wen Zhang, Li Li, Nan Wu, Yoichiro Iwakura and Xinxin Cao. Their work appears in journals such as International Immunopharmacology, Medicine, Lara D. Veeken, Blood and American Journal of Respiratory and Critical Care 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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