Xiaolan Tian

588 citations
23 papers · 375 · h-index 11

Impact in

    • Eosinophilic Disorders and Syndromes
    • Systemic Lupus Erythematosus Research
    • Inflammatory Myopathies and Dermatomyositis

Papers in

Xiaolan Tian

19 papers receiving 372 citations

Peers

Xiaolan Tian
Comparison fields: 5 of 48
  • Rheumatology 170
  • Epidemiology 237
  • Dermatology 60
  • Immunology 126
  • Pathology and Forensic Medicine 40
Replace Yosuke Ishitsuka with:
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Lenka Pleštilová Czechia
Masaomi Yamasaki Japan
Yuzhou Gan China
Kenzo Kaji Japan
Isamu Kingetsu Japan
Rachel S. Klein United States
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Xiaolan Tian relative to Yosuke Ishitsuka Japan Yosuke Ishitsuka's profile →
Citations per field
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Yosuke Ishitsuka · 1×
Citations per year

Countries citing papers authored by Xiaolan Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201490
2 201488
3 202334
4 202133
5 201627
6 202019
7 202216
8 201712
9 201411
10 202210
11 202010
12 20226
13 20235
14 20003
15 20003
16 20233
17 20242
18 20242
19 20191
20 20240

About Xiaolan Tian

Xiaolan Tian is a scholar working on Epidemiology, Rheumatology, Immunology, Molecular Biology and Dermatology, having authored 23 papers that have together received 375 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (20 papers), Eosinophilic Disorders and Syndromes (7 papers), Parkinson's Disease and Spinal Disorders (4 papers), Muscle Physiology and Disorders (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Skin Diseases and Diabetes (3 papers), Dermatological and Skeletal Disorders (2 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Rheumatology (170 citations), Epidemiology (237 citations), Dermatology (60 citations), Immunology (126 citations) and Pathology and Forensic Medicine (40 citations). Xiaolan Tian has collaborated with scholars based in China. Frequent co-authors include Xiaoming Shu, Hanbo Yang, Xin Lü, Guochun Wang, Qinglin Peng, Sigong Zhang, Guochun Wang, Xin Lu, Yinli Zhang and Yinli Zhang. Their work appears in journals such as Clinical Rheumatology, Lara D. Veeken, Seminars in Arthritis and Rheumatism, BMC Musculoskeletal Disorders and PLoS ONE.

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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