Daniel W. Bellott

1.8k total citations
18 papers, 562 citations indexed

About

Daniel W. Bellott is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Daniel W. Bellott has authored 18 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Daniel W. Bellott's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Chromosomal and Genetic Variations (8 papers) and Genomics and Chromatin Dynamics (6 papers). Daniel W. Bellott is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Chromosomal and Genetic Variations (8 papers) and Genomics and Chromatin Dynamics (6 papers). Daniel W. Bellott collaborates with scholars based in United States, Australia and Denmark. Daniel W. Bellott's co-authors include David C. Page, Helen Skaletsky, Tatyana Pyntikova, Colin Kremitzki, Richard K. Wilson, Wesley C. Warren, Tina Graves, David C. Page, Nancy Chen and Andrew G. Clark and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Daniel W. Bellott

17 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel W. Bellott United States 9 426 266 222 47 46 18 562
Colin Kremitzki United States 6 507 1.2× 290 1.1× 289 1.3× 40 0.9× 80 1.7× 8 662
Swathi Shetty India 7 414 1.0× 185 0.7× 251 1.1× 40 0.9× 54 1.2× 15 511
Karine Hugot France 11 152 0.4× 189 0.7× 170 0.8× 35 0.7× 15 0.3× 16 544
Qiaomu Hu China 14 467 1.1× 299 1.1× 65 0.3× 69 1.5× 49 1.1× 47 709
M.I. Pigozzi Argentina 18 541 1.3× 395 1.5× 614 2.8× 24 0.5× 86 1.9× 41 815
Oxana Kolomiets Russia 16 411 1.0× 273 1.0× 413 1.9× 24 0.5× 89 1.9× 87 693
Soledad Berríos Chile 16 335 0.8× 466 1.8× 410 1.8× 87 1.9× 36 0.8× 38 747
Svetlana Galkina Russia 13 367 0.9× 375 1.4× 403 1.8× 9 0.2× 31 0.7× 47 650
Amélie Bonnet‐Garnier France 16 493 1.2× 356 1.3× 291 1.3× 39 0.8× 24 0.5× 35 783
Alexandra Livernois Australia 9 200 0.5× 141 0.5× 99 0.4× 18 0.4× 27 0.6× 15 333

Countries citing papers authored by Daniel W. Bellott

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Bellott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Bellott. 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 Daniel W. Bellott. The network helps show where Daniel W. Bellott may publish in the future.

Co-authorship network of co-authors of Daniel W. Bellott

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Bellott. A scholar is included among the top collaborators of Daniel W. Bellott 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 Daniel W. Bellott. Daniel W. Bellott 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.
Rengarajan, Shruthi, Jason Derks, Daniel W. Bellott, Nikolai Slavov, & David C. Page. (2025). Post-transcriptional cross- and auto-regulation buffer expression of the human RNA helicases DDX3X and DDX3Y. Genome Research. 35(1). 20–30. 1 indexed citations
2.
Toda, Yasuka, et al.. (2025). Rapid expansion and specialization of the TAS2R bitter taste receptor family in amphibians. PLoS Genetics. 21(1). e1011533–e1011533. 2 indexed citations
3.
Bellott, Daniel W., et al.. (2024). Where is the boundary of the human pseudoautosomal region?. The American Journal of Human Genetics. 111(11). 2530–2541. 1 indexed citations
4.
Bellott, Daniel W., et al.. (2022). SHIMS 3.0: Highly efficient single-haplotype iterative mapping and sequencing using ultra-long nanopore reads. PLoS ONE. 17(6). e0269692–e0269692.
5.
Hughes, Jennifer F., Helen Skaletsky, Peter K. Nicholls, et al.. (2022). A gene deriving from the ancestral sex chromosomes was lost from the X and retained on the Y chromosome in eutherian mammals. BMC Biology. 20(1). 133–133. 6 indexed citations
6.
Jackson, Emily K., Daniel W. Bellott, Helen Skaletsky, & David C. Page. (2021). GC-biased gene conversion in X-chromosome palindromes conserved in human, chimpanzee, and rhesus macaque. G3 Genes Genomes Genetics. 11(11). 4 indexed citations
7.
Bellott, Daniel W. & David C. Page. (2021). Dosage-sensitive functions in embryonic development drove the survival of genes on sex-specific chromosomes in snakes, birds, and mammals. Genome Research. 31(2). 198–210. 25 indexed citations
8.
Jackson, Emily K., Daniel W. Bellott, Ting-Jan Cho, et al.. (2021). Large palindromes on the primate X Chromosome are preserved by natural selection. Genome Research. 31(8). 1337–1352. 8 indexed citations
9.
Nicholls, Peter K., Daniel W. Bellott, Ting-Jan Cho, Tatyana Pyntikova, & David C. Page. (2019). Locating and Characterizing a Transgene Integration Site by Nanopore Sequencing. G3 Genes Genomes Genetics. 9(5). 1481–1486. 22 indexed citations
10.
Janečka, Jan E., Brian W. Davis, Sharmila Ghosh, et al.. (2018). Horse Y chromosome assembly displays unique evolutionary features and putative stallion fertility genes. Nature Communications. 9(1). 2945–2945. 55 indexed citations
11.
Bellott, Daniel W., Ting-Jan Cho, Jennifer F. Hughes, Helen Skaletsky, & David C. Page. (2018). Cost-effective high-throughput single-haplotype iterative mapping and sequencing for complex genomic structures. Nature Protocols. 13(4). 787–809. 6 indexed citations
12.
Naqvi, Sahin, Daniel W. Bellott, Kathy S. Lin, & David C. Page. (2018). Conserved microRNA targeting reveals preexisting gene dosage sensitivities that shaped amniote sex chromosome evolution. Genome Research. 28(4). 474–483. 35 indexed citations
13.
Bellott, Daniel W., Helen Skaletsky, Laura Brown, et al.. (2017). Avian W and mammalian Y chromosomes convergently retained dosage-sensitive regulators. Nature Genetics. 49(3). 387–394. 119 indexed citations
14.
Carmell, Michelle A., Gregoriy A. Dokshin, Helen Skaletsky, et al.. (2016). A widely employed germ cell marker is an ancient disordered protein with reproductive functions in diverse eukaryotes. eLife. 5. 52 indexed citations
15.
Chen, Nancy, Daniel W. Bellott, David C. Page, & Andrew G. Clark. (2012). Identification of avian W-linked contigs by short-read sequencing. SHILAP Revista de lepidopterología. 36 indexed citations
16.
Bellott, Daniel W., Helen Skaletsky, Tatyana Pyntikova, et al.. (2010). Convergent evolution of chicken Z and human X chromosomes by expansion and gene acquisition. Nature. 466(7306). 612–616. 168 indexed citations
17.
Page, David C., Jennifer F. Hughes, Daniel W. Bellott, et al.. (2010). Reconstructing sex chromosome evolution. Genome biology. 11(S1). 3 indexed citations
18.
Bellott, Daniel W. & David C. Page. (2009). Reconstructing the Evolution of Vertebrate Sex Chromosomes. Cold Spring Harbor Symposia on Quantitative Biology. 74(0). 345–353. 19 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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