Jeffrey McDermott

1.2k total citations
17 papers, 932 citations indexed

About

Jeffrey McDermott is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Jeffrey McDermott has authored 17 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Reproductive Medicine. Recurrent topics in Jeffrey McDermott's work include Ion Transport and Channel Regulation (6 papers), Sperm and Testicular Function (6 papers) and Aldose Reductase and Taurine (3 papers). Jeffrey McDermott is often cited by papers focused on Ion Transport and Channel Regulation (6 papers), Sperm and Testicular Function (6 papers) and Aldose Reductase and Taurine (3 papers). Jeffrey McDermott collaborates with scholars based in United States, Japan and Germany. Jeffrey McDermott's co-authors include Gustavo Blanco, Gladis Sánchez, Hiroaki Hayashi, John P. Davies, Nakako Shibagaki, Toru Fujiwara, Alan B. Rose, Tadakatsu Yoneyama, Tamara Jiménez and Ryan Thummel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.

In The Last Decade

Jeffrey McDermott

17 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey McDermott United States 13 560 233 165 148 121 17 932
Patrick Cormier France 22 1.2k 2.1× 185 0.8× 194 1.2× 40 0.3× 20 0.2× 75 1.5k
Kosuke Sakai Japan 15 507 0.9× 231 1.0× 66 0.4× 54 0.4× 25 0.2× 42 851
Naoko Iguchi United States 21 552 1.0× 53 0.2× 115 0.7× 393 2.7× 181 1.5× 42 1.2k
Béatrice Mandon‐Pepin France 29 1.1k 2.0× 68 0.3× 113 0.7× 394 2.7× 126 1.0× 67 2.2k
Rui Guo China 17 355 0.6× 101 0.4× 36 0.2× 65 0.4× 34 0.3× 65 748
Douglas Rice United States 24 1.5k 2.7× 325 1.4× 46 0.3× 168 1.1× 36 0.3× 28 2.4k
Haiqing Hua China 16 510 0.9× 77 0.3× 83 0.5× 20 0.1× 228 1.9× 32 1.1k
Xin Sun China 22 1.1k 2.0× 164 0.7× 72 0.4× 31 0.2× 31 0.3× 51 1.5k
Méthode Bacanamwo United States 18 650 1.2× 396 1.7× 49 0.3× 26 0.2× 19 0.2× 28 1.3k
Paweł Grzmil Poland 19 484 0.9× 40 0.2× 90 0.5× 288 1.9× 138 1.1× 55 1.1k

Countries citing papers authored by Jeffrey McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey McDermott

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

All Works

17 of 17 papers shown
1.
McDermott, Jeffrey, et al.. (2024). Deletion of the Sodium Glucose Cotransporter 1 (Sglt‐1) impairs mouse sperm movement. Molecular Reproduction and Development. 91(1). e23723–e23723. 4 indexed citations
2.
Sánchez, Gladis, et al.. (2023). Ouabain enhances renal cyst growth in a slowly progressive mouse model of autosomal dominant polycystic kidney disease. American Journal of Physiology-Renal Physiology. 325(6). F857–F869. 4 indexed citations
3.
McDermott, Jeffrey, et al.. (2022). Genetic Ablation of Na,K-ATPase α4 Results in Sperm Energetic Defects. Frontiers in Cell and Developmental Biology. 10. 911056–911056. 7 indexed citations
4.
Sánchez, Gladis, et al.. (2020). The Na+ and K+ transport system of sperm (ATP1A4) is essential for male fertility and an attractive target for male contraception†. Biology of Reproduction. 103(2). 343–356. 29 indexed citations
5.
McDermott, Jeffrey, Gladis Sánchez, Madhulika Sharma, et al.. (2017). Ouabain promotes partial epithelial to mesenchymal transition (EMT) changes in human autosomal dominant polycystic kidney disease (ADPKD) cells. Experimental Cell Research. 355(2). 142–152. 14 indexed citations
6.
McDermott, Jeffrey, Gladis Sánchez, Ajay K. Nangia, & Gustavo Blanco. (2015). Role of human Na,K‐ATPase alpha 4 in sperm function, derived from studies in transgenic mice. Molecular Reproduction and Development. 82(3). 167–181. 26 indexed citations
7.
McDermott, Jeffrey, Gladis Sánchez, Vargheese M. Chennathukuzhi, & Gustavo Blanco. (2012). Green fluorescence protein driven by the Na,K-ATPase α4 isoform promoter is expressed only in male germ cells of mouse testis. Journal of Assisted Reproduction and Genetics. 29(12). 1313–1325. 25 indexed citations
8.
Jiménez, Tamara, et al.. (2010). Increased Expression of the Na,K-ATPase alpha4 Isoform Enhances Sperm Motility in Transgenic Mice1. Biology of Reproduction. 84(1). 153–161. 34 indexed citations
9.
Jiménez, Tamara, Jeffrey McDermott, Gladis Sánchez, & Gustavo Blanco. (2010). Na,K-ATPase α4 isoform is essential for sperm fertility. Proceedings of the National Academy of Sciences. 108(2). 644–649. 114 indexed citations
10.
11.
Elling, Axel A., Makedonka Mitreva, Justin Recknor, et al.. (2007). Divergent evolution of arrested development in the dauer stage of Caenorhabditis elegans and the infective stage of Heterodera glycines. Genome biology. 8(10). R211–R211. 35 indexed citations
12.
Bai, Song, Ryan Thummel, Alan R. Godwin, et al.. (2005). Matrix metalloproteinase expression and function during fin regeneration in zebrafish: Analysis of MT1-MMP, MMP2 and TIMP2. Matrix Biology. 24(4). 247–260. 93 indexed citations
13.
Thummel, Ryan, Christopher T. Burket, Jeffrey L. Brewer, et al.. (2005). Cre‐mediated site‐specific recombination in zebrafish embryos. Developmental Dynamics. 233(4). 1366–1377. 79 indexed citations
14.
Thummel, Ryan, Shan Bai, Michael P. Sarras, et al.. (2005). Inhibition of zebrafish fin regeneration using in vivo electroporation of morpholinos against fgfr1 and msxb. Developmental Dynamics. 235(2). 336–346. 116 indexed citations
15.
Petyuk, Vladislav, Jeffrey McDermott, Malcolm Cook, & Brian Sauer. (2004). Functional Mapping of Cre Recombinase by Pentapeptide Insertional Mutagenesis. Journal of Biological Chemistry. 279(35). 37040–37048. 13 indexed citations
16.
McDermott, Jeffrey, Ying Zhao, & Brian Sauer. (2004). A simple polymerase chain reaction screen for homologous targeting in embryonic stem cells. Analytical Biochemistry. 332(2). 401–403. 2 indexed citations
17.
Shibagaki, Nakako, Alan B. Rose, Jeffrey McDermott, et al.. (2002). Selenate‐resistant mutants of Arabidopsis thaliana identify Sultr1;2, a sulfate transporter required for efficient transport of sulfate into roots. The Plant Journal. 29(4). 475–486. 285 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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