Poh‐Sim Low

410 citations
24 papers · 344 · h-index 11

Impact in

Papers in

Poh‐Sim Low

24 papers receiving 336 citations

Peers

Poh‐Sim Low
Comparison fields: 5 of 59
  • Hematology 67
  • Endocrinology, Diabetes and Metabolism 92
  • Surgery 149
  • Cancer Research 39
  • Developmental Neuroscience 10
Replace Wellington L. Paul with:
Wellington L. Paul United States
Iwona Kucharewicz Poland
N. Ansorge Germany
Kojiro Yamamoto Japan
Jane Brown United Kingdom
G Travert France
Isabel S. Jerchel Netherlands
Halit Diri Türkiye
S. Tomoda Japan
C A Koev United States
Poh‐Sim Low relative to Wellington L. Paul United States Wellington L. Paul's profile →
Citations per field
00.5×
Wellington L. Paul · 1×
Citations per year

Countries citing papers authored by Poh‐Sim Low

Since Specialization
Citations

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

Fields of papers citing papers by Poh‐Sim Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Poh‐Sim Low. 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 Poh‐Sim Low. The network helps show where Poh‐Sim Low may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200351
2 199449
3 199438
4 199627
5 199426
6 200123
7 199519
8 199516
9 200214
10 200413
11 198911
12 20049
13 20068
14
Factors influencing the development of hypertensive encephalopathy in acute glomerulonephritis.
19898
15 19925
16 19985
17
Plasma lipids and lipoprotein(a) levels in the Chinese from China and Singapore.
19975
18 19894
19 20104
20 19943

About Poh‐Sim Low

Poh‐Sim Low is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 344 indexed citations. Recurring topics across this work include Blood properties and coagulation (7 papers), Platelet Disorders and Treatments (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Lipoproteins and Cardiovascular Health (3 papers), RNA Research and Splicing (2 papers), Diverticular Disease and Complications (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Hematology (67 citations), Endocrinology, Diabetes and Metabolism (92 citations), Surgery (149 citations), Cancer Research (39 citations) and Developmental Neuroscience (10 citations). Poh‐Sim Low has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Chew‐Kiat Heng, J.S.H. Tay, N. Saha, Nilmani Saha, Steve E. Humphries, N. Saha, Hongyuan Yang, Yan Liu, W F Tsoi and Hui‐Kim Yap. Their work appears in journals such as Pediatric Research, Journal of Pediatric Gastroenterology and Nutrition, Human Genetics, Annals of Human Biology and Annals of Human Genetics.

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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