L.C.K. Low

2.3k citations
65 papers · 1.5k · h-index 22

Impact in

Papers in

L.C.K. Low

64 papers receiving 1.4k citations

Peers

L.C.K. Low
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 502
  • Pediatrics, Perinatology and Child Health 456
  • Genetics 194
  • Obstetrics and Gynecology 128
  • Hematology 150
Replace Ron S. Newfield with:
Ron S. Newfield United States
M. D. G. Gillmer United Kingdom
Patricia M. Crofton United Kingdom
Solomon A. Kaplan United States
Nick Shaw United Kingdom
Silvana Salardi Italy
Ömer Tarım Türkiye
Gönül Öçal Türkiye
Maria G. Vogiatzi United States
Susan Ritchie United States
L.C.K. Low relative to Ron S. Newfield United States Ron S. Newfield's profile →
Citations per field
00.5×1.5×2.5×
Ron S. Newfield · 1×
Citations per year

Countries citing papers authored by L.C.K. Low

Since Specialization
Citations

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

Fields of papers citing papers by L.C.K. Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.C.K. 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 L.C.K. Low. The network helps show where L.C.K. Low may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002132
2 1997110
3
Linear growth retardation in relation to the three phases of growth.
199493
4 199888
5 200081
6 200063
7 199552
8 199750
9 200144
10 199637
11 199736
12 198736
13 200633
14 201032
15 199730
16 199928
17 200528
18 198028
19 198827
20 199826

About L.C.K. Low

L.C.K. Low is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Metabolism and Genetic Disorders (7 papers), Thyroid Disorders and Treatments (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Birth, Development, and Health (6 papers), Gastrointestinal disorders and treatments (5 papers), Neonatal Health and Biochemistry (4 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (502 citations), Pediatrics, Perinatology and Child Health (456 citations), Genetics (194 citations), Obstetrics and Gynecology (128 citations) and Hematology (150 citations). L.C.K. Low has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Johan Karlberg, Annie W. C. Kung, Terence T. Lao, Sidney Tam, M. T. Chau, Elaine Kwan, Tom Wilkie, CK Yeung, Kristina Albertsson and F Jalil. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, British Journal of Radiology, American Journal of Roentgenology and European Journal of Pediatrics.

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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