Q. Li

466 citations
20 papers · 370 · h-index 6

Impact in

    • Dermatology and Skin Diseases
  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis
    • Immunodeficiency and Autoimmune Disorders

Papers in

Q. Li

18 papers receiving 365 citations

Peers

Q. Li
Comparison fields: 5 of 49
  • Dermatology 138
  • Immunology 308
  • Pathology and Forensic Medicine 44
  • Physiology 58
  • Rheumatology 31
Replace Giovanna Malara with:
Giovanna Malara Italy
Luigi Gargiulo Italy
А. В. Самцов Russia
L.L.A. Lecluse Netherlands
Mauro Bavetta Italy
J. M. P. A. van den Reek Netherlands
Ofelia Baniandrés Spain
Lieke J. van Vugt Netherlands
Mitsuha Hayashi Japan
Fan Emily Yang United States
Q. Li relative to Giovanna Malara Italy Giovanna Malara's profile →
Citations per field
00.5×2.8×
Giovanna Malara · 1×
Citations per year

Countries citing papers authored by Q. Li

Since Specialization
Citations

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

Fields of papers citing papers by Q. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015228
2 201861
3 201925
4 201919
5 20169
6 20245
7 20165
8 20243
9 20243
10 20252
11 20182
12 20162
13 20181
14 20181
15 20211
16 20211
17 20181
18 20211
19 20250
20 20250

About Q. Li

Q. Li is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Physiology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (11 papers), Autoimmune Bullous Skin Diseases (3 papers), Voice and Speech Disorders (3 papers), Pharmaceutical studies and practices (3 papers), Respiratory and Cough-Related Research (3 papers), Dermatology and Skin Diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Dermatology (138 citations), Immunology (308 citations), Pathology and Forensic Medicine (44 citations), Physiology (58 citations) and Rheumatology (31 citations). Q. Li has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Kristian Reich, Kim Papp, Diamant Thaçi, Anish Mehta, Richard G. Langley, James G. Krueger, Hidemi Nakagawa, Edward P. Bowman, Elisabeth Riedl and Alice B. Gottlieb. Their work appears in journals such as Annals of the Rheumatic Diseases, British Journal of Dermatology, Research, Journal of the European Academy of Dermatology and Venereology and Annals of Oncology.

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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