H F Willard

2.2k total citations
28 papers, 1.8k citations indexed

About

H F Willard is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, H F Willard has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Plant Science. Recurrent topics in H F Willard's work include Chromosomal and Genetic Variations (10 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Genomic variations and chromosomal abnormalities (4 papers). H F Willard is often cited by papers focused on Chromosomal and Genetic Variations (10 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Genomic variations and chromosomal abnormalities (4 papers). H F Willard collaborates with scholars based in United States, Canada and United Kingdom. H F Willard's co-authors include John S. Waye, Sarah England, Robert P. Erickson, Ian Craig, Veronica J. Buckle, Peter Rigby, Jonathan Wolfe, Peter N. Goodfellow, S. M. Darling and Matthew Holmes and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

H F Willard

28 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H F Willard United States 22 1.2k 804 545 168 130 28 1.8k
W. Roy Breg United States 18 1.1k 0.9× 815 1.0× 238 0.4× 154 0.9× 95 0.7× 26 2.0k
P. Pearson Netherlands 21 879 0.7× 710 0.9× 276 0.5× 109 0.6× 60 0.5× 50 1.6k
Digamber S. Borgaonkar United States 20 1.1k 0.9× 955 1.2× 268 0.5× 257 1.5× 103 0.8× 66 2.4k
Gerard Merkx Netherlands 25 1.6k 1.3× 570 0.7× 219 0.4× 184 1.1× 71 0.5× 52 2.2k
Christine Fauth Austria 22 1.5k 1.2× 790 1.0× 522 1.0× 182 1.1× 88 0.7× 66 2.3k
Eugene M. Rinchik United States 32 1.9k 1.6× 1.1k 1.4× 222 0.4× 163 1.0× 108 0.8× 82 2.6k
Antony E. Shrimpton United States 21 842 0.7× 531 0.7× 219 0.4× 262 1.6× 230 1.8× 51 2.0k
Holger Tönnies Germany 23 927 0.8× 833 1.0× 221 0.4× 101 0.6× 48 0.4× 55 1.6k
Elena Prigmore United Kingdom 18 742 0.6× 758 0.9× 225 0.4× 131 0.8× 105 0.8× 27 1.4k
Melanie M. Mahtani United States 14 818 0.7× 705 0.9× 252 0.5× 62 0.4× 56 0.4× 18 1.4k

Countries citing papers authored by H F Willard

Since Specialization
Citations

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

Fields of papers citing papers by H F Willard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H F Willard. 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 H F Willard. The network helps show where H F Willard may publish in the future.

Co-authorship network of co-authors of H F Willard

This figure shows the co-authorship network connecting the top 25 collaborators of H F Willard. A scholar is included among the top collaborators of H F Willard 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 H F Willard. H F Willard 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.
Haga, Susanne B., Rachel Mills, Laura P. Svetkey, et al.. (2014). Impact of Delivery Models on Understanding Genomic Risk for Type 2 Diabetes. Public Health Genomics. 17(2). 95–104. 26 indexed citations
2.
Rudd, M. Katharine, Mary G. Schueler, & H F Willard. (2003). Sequence Organization and Functional Annotation of Human Centromeres. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 141–150. 37 indexed citations
3.
Tentler, Dmitri, Petter Gustavsson, Jaakko Leisti, et al.. (1999). Deletion including the oligophrenin-1 gene associated with enlarged cerebral ventricles, cerebellar hypoplasia, seizures and ataxia. European Journal of Human Genetics. 7(5). 541–548. 42 indexed citations
4.
Warren, Stephen T., et al.. (1995). X inactivation of the FMR1 fragile X mental retardation gene.. Journal of Medical Genetics. 32(12). 925–929. 30 indexed citations
5.
Reed, Victoria, Steven H. Laval, Veronica McCabe, H F Willard, & Yvonne Boyd. (1994). Mapping of loci and translocation breakpoints in Xq13: isolation of a conserved locus that maps close to CCG1 in human and mouse. Mammalian Genome. 5(4). 237–240. 1 indexed citations
6.
Haaf, Thomas, et al.. (1992). A microchromosome derived from chromosome 11 in a patient with the CREST syndrome of scleroderma. Cytogenetic and Genome Research. 60(1). 12–17. 13 indexed citations
7.
Willard, H F. (1992). Centromeres-primary constrictions are primarily complicated. Human Molecular Genetics. 1(9). 667–668. 15 indexed citations
8.
Coleman, Michel P., J. Murray, H F Willard, et al.. (1991). Genetic and physical mapping around the properdin P gene. Genomics. 11(4). 991–996. 41 indexed citations
9.
Johnston, Paul A., et al.. (1990). Synaptophysin: structure of the human gene and assignment to the X chromosome in man and mouse.. PubMed. 47(3). 551–61. 53 indexed citations
10.
Wevrick, Rachel, William C. Earnshaw, P. N. Howard‐Peebles, & H F Willard. (1990). Partial deletion of alpha satellite DNA associated with reduced amounts of the centromere protein CENP-B in a mitotically stable human chromosome rearrangement.. Molecular and Cellular Biology. 10(12). 6374–6380. 52 indexed citations
11.
Alitalo, Tiina, H F Willard, & Albert de la Chapelle. (1989). Determination of the breakpoints of 1;7 translocations in myelodysplastic syndrome by in situ hybridization using chromosome-specific α satellite DNA from human chromosomes 1 and 7. Cytogenetic and Genome Research. 50(1). 49–53. 29 indexed citations
12.
Willard, H F, Sharon Durfy, Melanie M. Mahtani, et al.. (1989). Regional localization of the TIMP gene on the human X chromosome. Human Genetics. 81(3). 234–8. 43 indexed citations
13.
Waye, John S. & H F Willard. (1989). Human beta satellite DNA: genomic organization and sequence definition of a class of highly repetitive tandem DNA.. Proceedings of the National Academy of Sciences. 86(16). 6250–6254. 121 indexed citations
14.
Allore, R., David O'Hanlon, Richard H. Price, et al.. (1988). Gene Encoding the β Subunit of S100 Protein Is on Chromosome 21: Implications for Down Syndrome. Science. 239(4845). 1311–1313. 193 indexed citations
15.
Waye, John S., Sarah England, & H F Willard. (1987). Genomic organization of alpha satellite DNA on human chromosome 7: evidence for two distinct alphoid domains on a single chromosome.. Molecular and Cellular Biology. 7(1). 349–356. 136 indexed citations
17.
Gewert, Dirk R., Madhura Castelino, Michael Rutherford, et al.. (1985). Characterization of the small 2-5A synthetase gene in human and mouse cells.. PubMed. 202. 163–74. 4 indexed citations
18.
Willard, H F, Susan O. Meakin, L.‐C. Tsui, & Martin L. Breitman. (1985). Assignment of human gamma crystallin multigene family to chromosome 2. Somatic Cell and Molecular Genetics. 11(5). 511–516. 40 indexed citations
20.
Pemberton, John, et al.. (1959). Recent Studies in Epidemiology.. Journal of the Royal Statistical Society Series C (Applied Statistics). 8(3). 220–220. 8 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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