Shuni Ying

522 citations
14 papers · 308 · h-index 6

Impact in

    • Dermatology and Skin Diseases
    • Hidradenitis Suppurativa and Treatments
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Contact Dermatitis and Allergies 2
    • Skin Diseases and Diabetes 2
    • Dermatology and Skin Diseases 2
    • Dermatological and COVID-19 studies 1
    • Autoimmune and Inflammatory Disorders Research 5

Shuni Ying

14 papers receiving 306 citations

Peers

Shuni Ying
Comparison fields: 5 of 61
  • Dermatology 103
  • Immunology 145
  • Immunology and Allergy 18
  • Rheumatology 42
  • Hematology 32
Replace Taoming Liu with:
Taoming Liu China
Vincenzo Picone Italy
Helena Iznardo Spain
Gianluca Pagnanelli Italy
Mary Patricia Smith United States
Line Raaby Denmark
Mario Valenti Italy
Masaru Karakawa Japan
J.M. Naeyaert Belgium
Pascale Zwicky Switzerland
Shuni Ying relative to Taoming Liu China Taoming Liu's profile →
Citations per field
00.5×1.5×
Taoming Liu · 1×
Citations per year

Countries citing papers authored by Shuni Ying

Since Specialization
Citations

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

Fields of papers citing papers by Shuni Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020237
2 202217
3 202414
4 20217
5 20217
6 20225
7 20214
8 20224
9 20243
10 20033
11 20202
12 20202
13 20232
14 20231

About Shuni Ying

Shuni Ying is a scholar working on Dermatology, Hematology, Immunology, Epidemiology and Rheumatology, having authored 14 papers that have together received 308 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (5 papers), Contact Dermatitis and Allergies (2 papers), Skin Diseases and Diabetes (2 papers), Urticaria and Related Conditions (2 papers), Dermatology and Skin Diseases (2 papers), Dermatological and COVID-19 studies (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Family and Disability Support Research (1 paper). The work is most often cited by research in Dermatology (103 citations), Immunology (145 citations), Immunology and Allergy (18 citations), Rheumatology (42 citations) and Hematology (32 citations). Shuni Ying has collaborated with scholars based in China and United States. Frequent co-authors include Jianjun Qiao, Hong Fang, Shunli Tang, Taoming Liu, Yuwei Ding, Sheng Li, Yali Li, Dingxian Zhu, Chuanyin Sun and Yu Shi. Their work appears in journals such as Journal of Asthma and Allergy, Journal of Inflammation Research, JAMA, Journal of Allergy and Clinical Immunology and Dermatology.

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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