Liyang Gu

494 citations
23 papers · 310 · h-index 10

Impact in

  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research
    • Eosinophilic Disorders and Syndromes
    • Inflammatory Myopathies and Dermatomyositis

Papers in

    • Inflammatory Myopathies and Dermatomyositis 6
    • Systemic Lupus Erythematosus Research 4
    • Rheumatoid Arthritis Research and Therapies 2

Liyang Gu

20 papers receiving 305 citations

Peers

Liyang Gu
Comparison fields: 5 of 34
  • Rheumatology 100
  • Epidemiology 136
  • Hematology 43
  • Pulmonary and Respiratory Medicine 88
  • Dermatology 21
Replace Tomo Nozawa with:
Tomo Nozawa Japan
Mirei Shirakashi Japan
L. Lojo Spain
Michelle Lopes Brazil
Jacqueline So China
Rıfkiye Sarıca Türkiye
Michiko Hasegawa Japan
Emanuele Bozzalla Cassione Italy
Ana D. Fernandes United States
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Citations per field
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Citations per year

Countries citing papers authored by Liyang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Liyang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liyang Gu, 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 Liyang Gu Line = papers co-authored together Liyang Gu 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 201688
2 201846
3 201734
4 202319
5 201115
6 201715
7 201914
8 202014
9 202111
10 202011
11 20249
12 20159
13 20208
14 20227
15 20243
16 20252
17 20182
18 20231
19 20251
20 20251

About Liyang Gu

Liyang Gu is a scholar working on Epidemiology, Rheumatology, Immunology, Hematology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (6 papers), Systemic Lupus Erythematosus Research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Vasculitis and related conditions (1 paper), Hidradenitis Suppurativa and Treatments (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Rheumatology (100 citations), Epidemiology (136 citations), Hematology (43 citations), Pulmonary and Respiratory Medicine (88 citations) and Dermatology (21 citations). Liyang Gu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiaodong Wang, Shuang Ye, Li Guo, Fangfang Sun, Zhiwei Chen, Sheng Chen, Ting Li, Ting Li, Jiajie Li and Ting Li. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Clinical Rheumatology, Lara D. Veeken 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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