Syeling Lai

857 citations
28 papers · 647 · h-index 17

Impact in

Papers in

    • Connective Tissue Growth Factor Research 2
    • Protist diversity and phylogeny 2
    • RNA modifications and cancer 2
    • Cancer-related Molecular Pathways 5

Syeling Lai

28 papers receiving 638 citations

Peers

Syeling Lai
Comparison fields: 5 of 75
  • Otorhinolaryngology 156
  • Oncology 223
  • Pathology and Forensic Medicine 103
  • Cancer Research 80
  • Periodontics 21
Replace Junkichi Yokoyama with:
Junkichi Yokoyama Japan
Fernanda Viviane Mariano Brazil
Madoka Furukawa Japan
Kouichiro Tsutsumi Japan
Chunji Gao China
Robert A. Mickel United States
Sônia Marta Moriguchi Japan
Jeng‐Tzung Wang Taiwan
I‐How Chen Taiwan
Zhongfei Xu China
Syeling Lai relative to Junkichi Yokoyama Japan Junkichi Yokoyama's profile →
Citations per field
00.5×1.5×2.3×
Junkichi Yokoyama · 1×
Citations per year

Countries citing papers authored by Syeling Lai

Since Specialization
Citations

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

Fields of papers citing papers by Syeling Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Syeling Lai, 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 Syeling Lai Line = papers co-authored together Syeling Lai 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 201072
2 199570
3 199960
4 200246
5 199941
6 201430
7 201425
8 201423
9 201523
10 199422
11 200521
12 201621
13 200520
14
Loss of imprinting and genetic alterations of the cyclin-dependent kinase inhibitor p57KIP2 gene in head and neck squamous cell carcinoma.
200020
15 201419
16
Prognostic Significance of p16 Cellular Localization in Oropharyngeal Squamous Cell Carcinoma.
201617
17
Differential expression of key cell cycle genes (p16/cyclin D1/pRb) in head and neck squamous carcinomas.
199917
18 201116
19 201314
20 201814

About Syeling Lai

Syeling Lai is a scholar working on Molecular Biology, Oncology, Otorhinolaryngology, Pathology and Forensic Medicine and Genetics, having authored 28 papers that have together received 647 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (7 papers), Cancer-related Molecular Pathways (5 papers), Systemic Sclerosis and Related Diseases (3 papers), Connective Tissue Growth Factor Research (2 papers), Genetic Syndromes and Imprinting (2 papers), Protist diversity and phylogeny (2 papers), RNA modifications and cancer (2 papers) and Head and Neck Surgical Oncology (2 papers). The work is most often cited by research in Otorhinolaryngology (156 citations), Oncology (223 citations), Pathology and Forensic Medicine (103 citations), Cancer Research (80 citations) and Periodontics (21 citations). Syeling Lai has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Adel K. El‐Naggar, Mario A. Luna, Helmuth Goepfert, Gary L. Clayman, Xiaodong Zhou, Xinjian Guo, John G. Batsakis, Waun Ki Hong, Frank C. Arnett and Randal S. Weber. Their work appears in journals such as Human Pathology, Head & Neck, Oncogene, Arthritis Research & Therapy and Arthritis & Rheumatology.

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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