N D Hastie

6.1k total citations · 1 hit paper
31 papers, 4.0k citations indexed

About

N D Hastie is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, N D Hastie has authored 31 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Physiology. Recurrent topics in N D Hastie's work include Renal and related cancers (9 papers), Genetic Associations and Epidemiology (5 papers) and Molecular Biology Techniques and Applications (4 papers). N D Hastie is often cited by papers focused on Renal and related cancers (9 papers), Genetic Associations and Epidemiology (5 papers) and Molecular Biology Techniques and Applications (4 papers). N D Hastie collaborates with scholars based in United Kingdom, United States and Croatia. N D Hastie's co-authors include Maureen Dempster, Robin C. Allshire, Alastair M. Thompson, Daryll K. Green, Malcolm G. Dunlop, Andreas Schedl, Veronica van Heyningen, Karen L. Bennett, François Cuzin and Minoo Rassoulzadegan and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

N D Hastie

31 papers receiving 3.8k citations

Hit Papers

Telomere reduction in human colorectal carcinoma and with... 1990 2026 2002 2014 1990 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N D Hastie United Kingdom 23 2.7k 1.4k 738 421 317 31 4.0k
Karen Chapman United States 26 2.6k 1.0× 1.8k 1.3× 420 0.6× 552 1.3× 124 0.4× 43 4.0k
Holger Hoehn Germany 37 3.1k 1.2× 501 0.4× 1.1k 1.5× 736 1.7× 120 0.4× 135 4.3k
Peter Baumann United States 40 4.6k 1.7× 1.9k 1.4× 990 1.3× 731 1.7× 279 0.9× 91 6.3k
Paul Hasty United States 41 6.6k 2.5× 869 0.6× 1.8k 2.4× 401 1.0× 296 0.9× 107 8.1k
Michel Ouellette Canada 8 2.9k 1.1× 3.5k 2.5× 466 0.6× 283 0.7× 115 0.4× 16 4.9k
Anya Tsalenko United States 24 2.1k 0.8× 541 0.4× 1.3k 1.8× 415 1.0× 211 0.7× 37 3.8k
Junjiu Huang China 34 3.0k 1.1× 779 0.6× 634 0.9× 184 0.4× 101 0.3× 108 4.2k
Jerry W. Shay United States 16 1.7k 0.6× 1.9k 1.4× 234 0.3× 143 0.3× 102 0.3× 17 3.0k
Andrew C. Perkins Australia 41 5.1k 1.9× 775 0.6× 838 1.1× 272 0.6× 166 0.5× 146 7.1k
Stephen A. Liebhaber United States 54 5.3k 2.0× 501 0.4× 1.1k 1.6× 292 0.7× 159 0.5× 142 8.2k

Countries citing papers authored by N D Hastie

Since Specialization
Citations

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

Fields of papers citing papers by N D Hastie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N D Hastie. 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 N D Hastie. The network helps show where N D Hastie may publish in the future.

Co-authorship network of co-authors of N D Hastie

This figure shows the co-authorship network connecting the top 25 collaborators of N D Hastie. A scholar is included among the top collaborators of N D Hastie 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 N D Hastie. N D Hastie 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
1.
Xia, Charley, Carmen Amador, Jennifer E. Huffman, et al.. (2016). Pedigree- and SNP-Associated Genetics and Recent Environment are the Major Contributors to Anthropometric and Cardiometabolic Trait Variation. PLoS Genetics. 12(2). e1005804–e1005804. 46 indexed citations
2.
Shirali, Masoud, Ricardo Pong‐Wong, Pau Navarro, et al.. (2015). Regional heritability mapping method helps explain missing heritability of blood lipid traits in isolated populations. Heredity. 116(3). 333–338. 14 indexed citations
3.
Burn, Sally F., Anna Webb, Rachel L. Berry, et al.. (2011). Calcium/NFAT signalling promotes early nephrogenesis. Developmental Biology. 352(2). 288–298. 70 indexed citations
4.
Girotto, Giorgia, Nicola Pirastu, Rossella Sorice, et al.. (2011). Hearing function and thresholds: a genome-wide association study in European isolated populations identifies new loci and pathways: Figure 1. Journal of Medical Genetics. 48(6). 369–374. 59 indexed citations
5.
Barbalić, Maja, Nina Smolej Narančić, Irena Martinović Klarić, et al.. (2009). A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate. American Journal of Hypertension. 22(6). 663–668. 2 indexed citations
6.
Carothers, A D, Igor Rudan, Ivana Kolčić, et al.. (2006). Estimating Human Inbreeding Coefficients: Comparison of Genealogical and Marker Heterozygosity Approaches. Annals of Human Genetics. 70(5). 666–676. 66 indexed citations
7.
Hastie, N D. (2001). Life, Sex, and WT1 Isoforms— Three Amino Acids Can Make All the Difference. Cell. 106(4). 391–394. 85 indexed citations
8.
Wright, Alan F. & N D Hastie. (2001). Complex genetic diseases: controversy over the Croesus code.. Genome Biology. 2(8). comment2007.1–comment2007.1. 70 indexed citations
9.
Schedl, Andreas & N D Hastie. (2000). Cross-talk in kidney development. Current Opinion in Genetics & Development. 10(5). 543–549. 105 indexed citations
10.
Moore, Adrian W., et al.. (1998). YAC transgenic analysis reveals Wilms' Tumour 1 gene activity in the proliferating coelomic epithelium, developing diaphragm and limb. Mechanisms of Development. 79(1-2). 169–184. 127 indexed citations
11.
Caricasole, Andrea, António Duarte, Sten Larsson, et al.. (1996). RNA binding by the Wilms tumor suppressor zinc finger proteins.. Proceedings of the National Academy of Sciences. 93(15). 7562–7566. 174 indexed citations
12.
Larsson, Stefan, Jean-Paul Charlieu, Kiyoshi Miyagawa, et al.. (1995). Subnuclear localization of WT1 in splicing or transcription factor domains is regulated by alternative splicing. Cell. 81(3). 391–401. 410 indexed citations
13.
Hastie, N D, Maureen Dempster, Malcolm G. Dunlop, et al.. (1990). Telomere reduction in human colorectal carcinoma and with ageing. Nature. 346(6287). 866–868. 1377 indexed citations breakdown →
14.
Bickmore, Wendy A., David J. Porteous, Sheila Christie, et al.. (1989). CpG islands surround a DNA segment located between translocation breakpoints associated with genitourinary dysplasia and aniridia. Genomics. 5(4). 685–693. 17 indexed citations
15.
Allshire, Robin C., Maureen Dempster, & N D Hastie. (1989). Human telomeres contain at least three types of G–rich repeat distributed non-randomly. Nucleic Acids Research. 17(12). 4611–4627. 300 indexed citations
17.
Barth, Richard K., et al.. (1983). Identification of a cDNA clone for mouse apoprotein A-1 (apo A-1) and its use in characterization of apo A-1 mRNA expression in liver and small intestine.. Proceedings of the National Academy of Sciences. 80(6). 1511–1515. 49 indexed citations
18.
Pietras, D F, Karen L. Bennett, Linda D. Siracusa, et al.. (1983). Construction of a smallMus musculusrepetitive DNA library: identification of a new satedllite sequence inMus musculus. Nucleic Acids Research. 11(20). 6965–6983. 99 indexed citations
19.
Barth, Richard K., et al.. (1982). Developmentally regulated mRNAs in mouse liver.. Proceedings of the National Academy of Sciences. 79(2). 500–504. 70 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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