Siming Ai

25 papers receiving 256 citations

Peers

Siming Ai
Comparison fields: 5 of 51
  • Ophthalmology 64
  • Pathology and Forensic Medicine 38
  • Cancer Research 23
  • Rheumatology 23
  • Oncology 37
Replace Aurélie Houlier with:
Aurélie Houlier France
Ye He China
Yu Xin China
Denis Malaise France
Araya Umetsu Japan
Kazuhiko Umazume Japan
Tomomi Aoi Japan
Karen S. Fernández United States
Hitomi Sakamoto Japan
Nadia Soriani Italy
Siming Ai relative to Aurélie Houlier France Aurélie Houlier's profile →
Citations per field
00.5×3.4×
Aurélie Houlier · 1×
Citations per year

Countries citing papers authored by Siming Ai

Since Specialization
Citations

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

Fields of papers citing papers by Siming Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201825
2 202025
3 201524
4
FGFR2 molecular analysis and related clinical findings in one Chinese family with Crouzon syndrome.
201216
5 201715
6
Ala344Pro mutation in the FGFR2 gene and related clinical findings in one Chinese family with Crouzon syndrome.
201213
7 201713
8 202013
9 201913
10 202113
11 202112
12 201612
13 202410
14
[Diagnosis and surgical management of 209 cases of orbital cavernous hemangioma].
20067
15 20246
16 20156
17 20176
18
Clinical analysis of 106 cases with elevated intraocular pressure in thyroid-associated ophthalmopathy.
20045
19 20255
20 20244

About Siming Ai

Siming Ai is a scholar working on Ophthalmology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 28 papers that have together received 257 indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (6 papers), Craniofacial Disorders and Treatments (5 papers), Ophthalmology and Eye Disorders (4 papers), Cancer-related Molecular Pathways (3 papers), Cleft Lip and Palate Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Sympathectomy and Hyperhidrosis Treatments (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Ophthalmology (64 citations), Pathology and Forensic Medicine (38 citations), Cancer Research (23 citations), Rheumatology (23 citations) and Oncology (37 citations). Siming Ai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxiang Mao, Huijing Ye, Rong Lu, Rongxin Chen, Huasheng Yang, Dan Liang, Xuanwei Liang, Huasheng Yang, Wenfang Ma and Jianhua Yan. Their work appears in journals such as Journal of Pain Research, Tissue and Cell, International Immunopharmacology, European Journal of Medicinal Chemistry and Frontiers in Immunology.

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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