Sonia Cheng

1.2k citations
22 papers · 725 indexed · h-index 16

Impact in

Papers in

Sonia Cheng

22 papers receiving 711 citations

Peers

Sonia Cheng
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 420
  • Genetics 79
  • Oncology 133
  • Epidemiology 153
  • Surgery 191
Replace Katharina H. Ruebel with:
Katharina H. Ruebel United States
Mateusz Bujko Poland
Natalia Rusetska Poland
Paulina Kober Poland
Daniela Piccin Italy
H A Bikkal United States
Maria-Beatriz S. Lopes United States
Marlijn Waaijers Netherlands
Kiyoshi Shingū Japan
Joseph M. Alexander United States
Sonia Cheng relative to Katharina H. Ruebel United States Katharina H. Ruebel's profile →
Citations per field
00.5×3.1×
Katharina H. Ruebel · 1×
Citations per year

Countries citing papers authored by Sonia Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202010
2 20192
3 201722
4 201522
5 201415
6 201320
7 201311
8 201324
9 201298
10 201143
11 201160
12
Osteopontin (OPN) expression in thyroid carcinoma.
201021
13 200984
14 200918
15 2008113
16 200645
17 200645
18 200443
19 200423
20 19864

About Sonia Cheng

Sonia Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Immunology and Allergy, Speech and Hearing and Oral Surgery, having authored 22 papers that have together received 725 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Adrenal and Paraganglionic Tumors (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Fibroblast Growth Factor Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Lung Cancer Research Studies (2 papers) and Bipolar Disorder and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (420 citations), Genetics (79 citations), Oncology (133 citations), Epidemiology (153 citations) and Surgery (191 citations). Sonia Cheng has collaborated with scholars based in Canada, Mexico and Australia. Frequent co-authors include Shereen Ezzat, L. Sylvia, Moisés Mercado, Wei Liu, Gerardo Guinto, Stefano Serra, Victoria Mendoza, Ernesto Sosa, Carolina Sandoval and Ana Laura Espinosa-de-los-Monteros. Their work appears in journals such as PLoS ONE, Cancer Research, Clinical Endocrinology, Clinical Cancer Research and Archives of Medical Research.

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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