L.C.K. Low

2.2k citations
65 papers · 1.6k · h-index 25

Impact in

Papers in

L.C.K. Low

65 papers receiving 1.4k citations

Peers

L.C.K. Low
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 512
  • Genetics 188
  • Pediatrics, Perinatology and Child Health 322
  • Obstetrics and Gynecology 87
  • Clinical Biochemistry 71
Replace Will R. Blackburn with:
Will R. Blackburn United States
Ito M Japan
M. D. G. Gillmer United Kingdom
Ritva Sorva Finland
Maurice D. Kogut United States
J.-F. Oury France
Jacques Beltrand France
Maria G. Vogiatzi United States
D C Savage United Kingdom
Silvana Salardi Italy
L.C.K. Low relative to Will R. Blackburn United States Will R. Blackburn's profile →
Citations per field
00.5×10×14.5×
Will R. Blackburn · 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 2002147
2 1997114
3
Linear growth retardation in relation to the three phases of growth.
1994101
4 200087
5 200066
6 199554
7 199753
8 200148
9 199643
10 198738
11 201038
12 200638
13 199738
14 199731
15 199931
16 198830
17 198930
18 200529
19 199529
20 198029

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 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Thyroid Disorders and Treatments (9 papers), Metabolism and Genetic Disorders (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Gastrointestinal disorders and treatments (5 papers), Birth, Development, and Health (5 papers), Biochemical and Molecular Research (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (512 citations), Genetics (188 citations), Pediatrics, Perinatology and Child Health (322 citations), Obstetrics and Gynecology (87 citations) and Clinical Biochemistry (71 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, CK Yeung, Kristina Albertsson, YL Lau and H Saing. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, American Journal of Roentgenology, British Journal of Radiology 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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