Suling Xu
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Immunology and Allergy top 10%
Papers in
- Dermatology 13
- Dermatology and Skin Diseases 8
- Co-authors
- Ali Asghar Heidari (5 shared papers)Huiling Chen (6 shared papers)Wenming He (2 shared papers)Pengjun Wang (2 shared papers)Xuehua Zhao (2 shared papers)Mingjing Wang (1 shared paper)Lingzhi Li (3 shared papers)Wenxue Ma (3 shared papers)
- Journals
- Computers in Biology and Medicine (4 papers)International Immunopharmacology (2 papers)Cytokine & Growth Factor Reviews (2 papers)Journal of Computational Design and Engineering (2 papers)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaIranUnited States
In The Last Decade
Suling Xu
51 papers receiving 813 citations
Peers
Comparison fields: 5 of 127
- Dermatology 111
- Immunology and Allergy 42
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 103
- Rheumatology 62
Countries citing papers authored by Suling Xu
This map shows the geographic impact of Suling Xu'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 Suling Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suling Xu more than expected).
Fields of papers citing papers by Suling Xu
This network shows the impact of papers produced by Suling Xu. 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 Suling Xu. The network helps show where Suling Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suling Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 160 | |
| 2 | 2017 | 64 | |
| 3 | 2021 | 58 | |
| 4 | 2022 | 50 | |
| 5 | 2022 | 42 | |
| 6 | 2018 | 37 | |
| 7 | 2022 | 35 | |
| 8 | 2024 | 32 | |
| 9 | TRAF4 enhances oral squamous cell carcinoma cell growth, invasion and migration by Wnt-β-catenin signaling pathway. | 2015 | 30 |
| 10 | 2023 | 29 | |
| 11 | 2023 | 24 | |
| 12 | 2020 | 23 | |
| 13 | 2023 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2023 | 18 | |
| 16 | 2014 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2022 | 12 |
About Suling Xu
Suling Xu is a scholar working on Dermatology, Molecular Biology, Oncology, Immunology and Artificial Intelligence, having authored 54 papers that have together received 826 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (8 papers), Cutaneous Melanoma Detection and Management (4 papers), Allergic Rhinitis and Sensitization (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Image Enhancement Techniques (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Image Processing Techniques and Applications (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Dermatology (111 citations), Immunology and Allergy (42 citations), Artificial Intelligence (221 citations), Computer Vision and Pattern Recognition (103 citations) and Rheumatology (62 citations). Suling Xu has collaborated with scholars based in China, Iran and United States. Frequent co-authors include Ali Asghar Heidari, Huiling Chen, Wenming He, Pengjun Wang, Xuehua Zhao, Mingjing Wang, Lingzhi Li, Wenxue Ma, Chunbo Liu and Lin Wei. Their work appears in journals such as Computers in Biology and Medicine, International Immunopharmacology, Cytokine & Growth Factor Reviews, Journal of Computational Design and Engineering and Frontiers in Pediatrics.
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.