Yan Sha

938 citations
80 papers · 617 indexed · h-index 14

Impact in

Papers in

Yan Sha

71 papers receiving 610 citations

Peers

Yan Sha
Comparison fields: 5 of 73
  • Otorhinolaryngology 120
  • Sensory Systems 124
  • Neurology 185
  • Neurology 135
  • Ophthalmology 80
Replace Elisabetta Zanoletti with:
Elisabetta Zanoletti Italy
Antonio Mazzoni Italy
Paul A. Fagan Australia
Michael B. Gluth United States
Odd Spandow Sweden
J. Constantinidis Greece
K. Schwager Germany
Kevin X. McKennan United States
Jong Joo Lee South Korea
Mete İşeri Türkiye
Yan Sha relative to Elisabetta Zanoletti Italy Elisabetta Zanoletti's profile →
Citations per field
00.5×1.5×2.5×
Elisabetta Zanoletti · 1×
Citations per year

Countries citing papers authored by Yan Sha

Since Specialization
Citations

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

Fields of papers citing papers by Yan Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201581
2 201549
3 201823
4 201922
5 201121
6 201620
7 201519
8 200819
9 200916
10 201616
11 201315
12 201614
13 201614
14 201314
15 201813
16 202312
17 201712
18 201110
19
Peri-implant mucosal inflammation and bone loss: clinical and radiographic evaluation of 108 dental implants after 1-year loading.
200010
20 201910

About Yan Sha

Yan Sha is a scholar working on Otorhinolaryngology, Neurology, Sensory Systems, Ophthalmology and Pathology and Forensic Medicine, having authored 80 papers that have together received 617 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (18 papers), Cerebral Venous Sinus Thrombosis (15 papers), Ophthalmology and Eye Disorders (13 papers), Salivary Gland Tumors Diagnosis and Treatment (12 papers), Ear and Head Tumors (12 papers), Head and Neck Cancer Studies (11 papers), Head and Neck Surgical Oncology (10 papers) and Hearing, Cochlea, Tinnitus, Genetics (10 papers). The work is most often cited by research in Otorhinolaryngology (120 citations), Sensory Systems (124 citations), Neurology (185 citations), Neurology (135 citations) and Ophthalmology (80 citations). Yan Sha has collaborated with scholars based in China, United States and Oman. Frequent co-authors include Chunfu Dai, Menglong Zhao, Guohong Tian, Haitao Wu, Xuanyi Li, Shaoyu Wang, Fang Zhang, Zhuang Liu, Xiangyang Shi and Lichun Zhang. Their work appears in journals such as Acta Oto-Laryngologica, Clinical Radiology, Journal of Computer Assisted Tomography, European Archives of Oto-Rhino-Laryngology and Journal of Magnetic Resonance Imaging.

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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