Sue‐Anne Toh

3.6k citations
42 papers · 1.0k indexed · h-index 20
Topics
Adipokines, Inflammation, and Metabolic Diseases (12 papers)Adipose Tissue and Metabolism (11 papers)Chronic Disease Management Strategies (8 papers)
Journals
NatureSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Sue‐Anne Toh

42 papers receiving 1.0k citations

Peers

Sue‐Anne Toh
Comparison fields: 5 of 124
  • Molecular Biology 318
  • Physiology 230
  • Endocrinology, Diabetes and Metabolism 206
  • Epidemiology 196
  • General Health Professions 153
Replace Ying Zheng with:
Ying Zheng China
A Lowy Switzerland
Th.B. Twickler Netherlands
Andjela Drincic United States
Bamidele O. Tayo United States
Eugene Yang United States
Alessandro Pasqua Italy
Gijs W.D. Landman Netherlands
Otávio Rizzi Coelho Brazil
Wen Ye United States
Sue‐Anne Toh relative to Ying Zheng China Ying Zheng's profile →
Citations per field
00.5×1.5×2.5×
Ying Zheng · 1×
Citations per year

Countries citing papers authored by Sue‐Anne Toh

Since Specialization
Citations

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

Fields of papers citing papers by Sue‐Anne Toh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue‐Anne Toh. 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 Sue‐Anne Toh. The network helps show where Sue‐Anne Toh may publish in the future.

Co-authorship network of co-authors of Sue‐Anne Toh

This figure shows the co-authorship network connecting the top 25 collaborators of Sue‐Anne Toh. A scholar is included among the top collaborators of Sue‐Anne Toh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sue‐Anne Toh. Sue‐Anne Toh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3
23
4 17
5 3
6 5
7 22
8 5
9 35
10 11
11 10
12 38
13 182
14 51
15 27
16 31
17 22
18 49
19 11
20 14

About Sue‐Anne Toh

Sue‐Anne Toh is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (11 papers) and Chronic Disease Management Strategies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Physiology (230 citations) and Geriatrics and Gerontology (32 citations). Sue‐Anne Toh has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Tze Ping Loh, E Shyong Tai, Chin Meng Khoo, Ian Yi Han Ang, Asim Shabbir, Milawaty Nurjono, David L. Silver, Nicholas R. J. Gascoigne, Fangyu Zhang and M. Shabeer Yassin. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

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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