Nathan C. Law

1.6k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Nathan C. Law is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Nathan C. Law has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Public Health, Environmental and Occupational Health and 9 papers in Reproductive Medicine. Recurrent topics in Nathan C. Law's work include Reproductive Biology and Fertility (14 papers), Sperm and Testicular Function (9 papers) and Renal and related cancers (4 papers). Nathan C. Law is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Sperm and Testicular Function (9 papers) and Renal and related cancers (4 papers). Nathan C. Law collaborates with scholars based in United States, China and Australia. Nathan C. Law's co-authors include Mary Hunzicker-Dunn, Jon M. Oatley, Melissa J. Oatley, Ellen K. Velte, Jake D. Lehle, Danielle Fritze, John R. McCarrey, Birgit Westernströer, Sherman J. Silber and I‐Chung Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Nathan C. Law

21 papers receiving 1.0k citations

Hit Papers

The Mammalian Spermatogenesis Single-Cell Transcriptome, ... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Mammalian Spermatogenesis Single-Cell Transcriptome, from Spermatogonial Stem Cells to Spermatids
    2018 390 citations Brian P. Hermann, Keren Cheng et al. Cell Reports profile →

Peers

Nathan C. Law
Alexandre Boyer Canada
Zijue Zhu China
Zhao‐Yuan Hu China
Venkataraman Sriraman United States
David L’Hôte France
Sanny S.W. Chung United States
Céline J. Guigon France
Juho‐Antti Mäkelä Finland
Jean-Luc Pitetti Switzerland
Lynda Little-Ihrig United States
Alexandre Boyer Canada
Nathan C. Law
Citations per year, relative to Nathan C. Law Nathan C. Law (= 1×) peers Alexandre Boyer

Countries citing papers authored by Nathan C. Law

Since Specialization
Citations

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

Fields of papers citing papers by Nathan C. Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan C. Law. 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 Nathan C. Law. The network helps show where Nathan C. Law may publish in the future.

Co-authorship network of co-authors of Nathan C. Law

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan C. Law. A scholar is included among the top collaborators of Nathan C. Law 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 Nathan C. Law. Nathan C. Law 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
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Zhao, Liang, Jeanene M. de Avila, Nathan C. Law, et al.. (2024). Spatial Transcriptomics Analysis: Maternal Obesity Impairs Myogenic Cell Migration and Differentiation during Embryonic Limb Development. International Journal of Molecular Sciences. 25(17). 9488–9488. 1 indexed citations
3.
Miao, De‐Qiang, Nathan C. Law, Melissa J. Oatley, et al.. (2023). ARRDC5 expression is conserved in mammalian testes and required for normal sperm morphogenesis. Nature Communications. 14(1). 2111–2111. 15 indexed citations
4.
Law, Nathan C.. (2023). Lineage Tracing of Spermatogonial Stem Cells Within the Male Germline. Methods in molecular biology. 2656. 309–324. 2 indexed citations
5.
Law, Nathan C., et al.. (2023). Core binding factor subunit β plays diverse and essential roles in the male germline. Frontiers in Cell and Developmental Biology. 11. 1284184–1284184.
6.
Lord, Tessa, Nathan C. Law, Melissa J. Oatley, et al.. (2022). A novel high throughput screen to identify candidate molecular networks that regulate spermatogenic stem cell functions. Biology of Reproduction. 106(6). 1175–1190. 7 indexed citations
7.
Zhao, Liang, Nathan C. Law, Xiangdong Liu, et al.. (2021). Obesity Impairs Embryonic Myogenesis by Enhancing BMP Signaling within the Dermomyotome. Advanced Science. 8(22). e2102157–e2102157. 12 indexed citations
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Law, Nathan C., et al.. (2021). Two distinct Sertoli cell states are regulated via germ cell crosstalk†. Biology of Reproduction. 105(6). 1591–1602. 11 indexed citations
10.
Law, Nathan C., et al.. (2020). Chronic stimulation induces adaptive potassium channel activity that restores calcium oscillations in pancreatic islets in vitro. American Journal of Physiology-Endocrinology and Metabolism. 318(4). E554–E563. 4 indexed citations
11.
Law, Nathan C. & Jon M. Oatley. (2020). Developmental underpinnings of spermatogonial stem cell establishment. Andrology. 8(4). 852–861. 26 indexed citations
12.
Law, Nathan C., Melissa J. Oatley, & Jon M. Oatley. (2019). Developmental kinetics and transcriptome dynamics of stem cell specification in the spermatogenic lineage. Nature Communications. 10(1). 2787–2787. 79 indexed citations
13.
Hermann, Brian P., Keren Cheng, Anukriti Singh, et al.. (2018). The Mammalian Spermatogenesis Single-Cell Transcriptome, from Spermatogonial Stem Cells to Spermatids. Cell Reports. 25(6). 1650–1667.e8. 390 indexed citations breakdown →
14.
Law, Nathan C., et al.. (2017). How Protein Kinase A Activates Canonical Tyrosine Kinase Signaling Pathways To Promote Granulosa Cell Differentiation. Endocrinology. 158(7). 2043–2051. 33 indexed citations
15.
Law, Nathan C., Morris F. White, & Mary Hunzicker-Dunn. (2016). G protein-coupled receptors (GPCRs) That Signal via Protein Kinase A (PKA) Cross-talk at Insulin Receptor Substrate 1 (IRS1) to Activate the phosphatidylinositol 3-kinase (PI3K)/AKT Pathway. Journal of Biological Chemistry. 291(53). 27160–27169. 56 indexed citations
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Law, Nathan C., et al.. (2016). Forkhead box O member FOXO1 regulates the majority of follicle-stimulating hormone responsive genes in ovarian granulosa cells. Molecular and Cellular Endocrinology. 434. 116–126. 48 indexed citations
18.
Puri, Prem, Lynda Little-Ihrig, Uma Chandran, et al.. (2016). Protein Kinase A: A Master Kinase of Granulosa Cell Differentiation. Scientific Reports. 6(1). 28132–28132. 50 indexed citations
19.
Law, Nathan C. & Mary Hunzicker-Dunn. (2015). Insulin Receptor Substrate 1, the Hub Linking Follicle-stimulating Hormone to Phosphatidylinositol 3-Kinase Activation. Journal of Biological Chemistry. 291(9). 4547–4560. 42 indexed citations
20.
Law, Nathan C., et al.. (2013). Lhcgr Expression in Granulosa Cells: Roles for PKA-Phosphorylated β-Catenin, TCF3, and FOXO1. Molecular Endocrinology. 27(8). 1295–1310. 65 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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