Leonard Cheung

634 total citations
18 papers, 394 citations indexed

About

Leonard Cheung is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Leonard Cheung has authored 18 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Genetics. Recurrent topics in Leonard Cheung's work include Growth Hormone and Insulin-like Growth Factors (10 papers), Single-cell and spatial transcriptomics (4 papers) and Genetic Syndromes and Imprinting (3 papers). Leonard Cheung is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (10 papers), Single-cell and spatial transcriptomics (4 papers) and Genetic Syndromes and Imprinting (3 papers). Leonard Cheung collaborates with scholars based in United States, United Kingdom and Argentina. Leonard Cheung's co-authors include Michelle L. Brinkmeier, Sally A. Camper, Alexandre Z. Daly, Buffy S. Ellsworth, María Inés Pérez‐Millán, Paul Le Tissier, Karine Rizzoti, Robin Lovell‐Badge, Péter Gergics and Qing Fang and has published in prestigious journals such as Endocrine Reviews, Endocrinology and Human Molecular Genetics.

In The Last Decade

Leonard Cheung

17 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonard Cheung United States 10 219 172 128 51 41 18 394
Mary Anne Potok United States 10 397 1.8× 229 1.3× 193 1.5× 59 1.2× 54 1.3× 13 561
L Wilson United Kingdom 5 308 1.4× 273 1.6× 197 1.5× 55 1.1× 31 0.8× 13 532
Leah Sabacan United States 10 276 1.3× 83 0.5× 205 1.6× 34 0.7× 16 0.4× 17 480
Rachel D. Mullen United States 11 220 1.0× 98 0.6× 159 1.2× 22 0.4× 35 0.9× 15 396
Michael A. Charles United States 4 267 1.2× 92 0.5× 111 0.9× 23 0.5× 15 0.4× 5 398
Sanae Oka Japan 11 365 1.7× 89 0.5× 323 2.5× 26 0.5× 43 1.0× 16 498
Mathias S. Gierl Germany 7 309 1.4× 39 0.2× 189 1.5× 33 0.6× 159 3.9× 7 512
Gunilla Wahlström Sweden 8 238 1.1× 109 0.6× 142 1.1× 14 0.3× 11 0.3× 14 342
Saunders Ching United States 6 372 1.7× 39 0.2× 284 2.2× 25 0.5× 37 0.9× 7 501
Mariza Gerdulo Santos Brazil 8 257 1.2× 96 0.6× 167 1.3× 111 2.2× 118 2.9× 9 524

Countries citing papers authored by Leonard Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Cheung. A scholar is included among the top collaborators of Leonard Cheung 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 Leonard Cheung. Leonard Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Brinkmeier, Michelle L., et al.. (2025). Nucleoredoxin regulates WNT signaling during pituitary stem cell differentiation. Human Molecular Genetics. 34(10). 870–881.
2.
Brinkmeier, Michelle L., et al.. (2025). Myelin regulatory factor (MYRF) is a critical early regulator of retinal pigment epithelial development. PLoS Genetics. 21(4). e1011670–e1011670. 1 indexed citations
3.
Brinkmeier, Michelle L., Marcelo A. Martí, Mirta Miras, et al.. (2024). Knockout mice with pituitary malformations help identify human cases of hypopituitarism. Genome Medicine. 16(1). 75–75. 4 indexed citations
4.
Brinkmeier, Michelle L., et al.. (2024). Gene Misexpression in a Smoc2+ve/Sox2-Low Population in Juvenile Prop1-Mutant Pituitary Gland. Journal of the Endocrine Society. 8(10). bvae146–bvae146. 2 indexed citations
5.
Brinkmeier, Michelle L., et al.. (2024). Long Noncoding RNAs Expressed in Mouse Pituitary Development and Mature Hormone-Producing Cells. Endocrinology. 165(12). 2 indexed citations
6.
Pérez‐Millán, María Inés, Leonard Cheung, María F. Mercogliano, et al.. (2023). Pituitary stem cells: past, present and future perspectives. Nature Reviews Endocrinology. 20(2). 77–92. 14 indexed citations
7.
Cheung, Leonard, Karine Rizzoti, Greg Hamilton, et al.. (2023). Novel Candidate Regulators and Developmental Trajectory of Pituitary Thyrotropes. Endocrinology. 164(6). 7 indexed citations
8.
Skowronski, Alicja A., Leonard Cheung, Pankaj B. Agrawal, et al.. (2022). Endocrine and behavioural features of Lowe syndrome and their potential molecular mechanisms. Journal of Medical Genetics. 59(12). 1171–1178. 4 indexed citations
9.
Cheung, Leonard & Sally A. Camper. (2020). PROP1-Dependent Retinoic Acid Signaling Regulates Developmental Pituitary Morphogenesis and Hormone Expression. Endocrinology. 161(2). 21 indexed citations
10.
Cheung, Leonard & Karine Rizzoti. (2020). Cell population characterization and discovery using single-cell technologies in endocrine systems. Journal of Molecular Endocrinology. 65(2). R35–R51. 3 indexed citations
11.
Cheung, Leonard, et al.. (2018). Single-Cell RNA Sequencing Reveals Novel Markers of Male Pituitary Stem Cells and Hormone-Producing Cell Types. Endocrinology. 159(12). 3910–3924. 105 indexed citations
12.
Cheung, Leonard, et al.. (2018). NOTCH activity differentially affects alternative cell fate acquisition and maintenance. eLife. 7. 12 indexed citations
13.
Cheung, Leonard, Hideyuki Okano, & Sally A. Camper. (2016). Sox21 deletion in mice causes postnatal growth deficiency without physiological disruption of hypothalamic-pituitary endocrine axes. Molecular and Cellular Endocrinology. 439. 213–223. 13 indexed citations
14.
Cheung, Leonard, Shannon W. Davis, Michelle L. Brinkmeier, Sally A. Camper, & María Inés Pérez‐Millán. (2016). Regulation of pituitary stem cells by epithelial to mesenchymal transition events and signaling pathways. Molecular and Cellular Endocrinology. 445. 14–26. 20 indexed citations
15.
Fang, Qing, Michelle L. Brinkmeier, Amanda H. Mortensen, et al.. (2016). Genetics of Combined Pituitary Hormone Deficiency: Roadmap into the Genome Era. Endocrine Reviews. 37(6). 636–675. 119 indexed citations
16.
Brinkmeier, Michelle L., Leonard Cheung, Jennifer Wendt, et al.. (2015). LINE-1 Mediated Insertion into Poc1a (Protein of Centriole 1 A) Causes Growth Insufficiency and Male Infertility in Mice. PLoS Genetics. 11(10). e1005569–e1005569. 24 indexed citations
17.
Cheung, Leonard, Karine Rizzoti, Robin Lovell‐Badge, & Paul Le Tissier. (2012). Pituitary Phenotypes of Mice Lacking the Notch Signalling Ligand Delta‐Like 1 Homologue. Journal of Neuroendocrinology. 25(4). 391–401. 29 indexed citations
18.
He, Zhao, et al.. (2010). Continuous On-Line Monitoring of Secretion from Rodent Pituitary Endocrine Cells Using Fluorescent Protein Surrogate Markers. Journal of Neuroendocrinology. 23(3). 197–207. 14 indexed citations

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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2026