Jennifer Ashley

1.4k total citations
10 papers, 1.0k citations indexed

About

Jennifer Ashley is a scholar working on Molecular Biology, Genetics and Sensory Systems. According to data from OpenAlex, Jennifer Ashley has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Sensory Systems. Recurrent topics in Jennifer Ashley's work include Congenital heart defects research (3 papers), RNA modifications and cancer (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). Jennifer Ashley is often cited by papers focused on Congenital heart defects research (3 papers), RNA modifications and cancer (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). Jennifer Ashley collaborates with scholars based in United States, Belgium and India. Jennifer Ashley's co-authors include Michael Lovett, Carol A. Wise, Stephen F. Kingsmore, Maria D.F.S. Barbosa, Velizar T. Tchernev, John C. Detter, Charlie Hodgman, Stephen J. Brandt, Roberto Solari and Amy Bernard and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

Jennifer Ashley

10 papers receiving 1.0k citations

Peers

Jennifer Ashley

IMMUN

HEMAT

MB

ONCOL

GENET

Nelly Noraz France

Ildikó Győry Germany

L J Miller United States

Tomoyuki Miyabayashi Japan

Samantha Scaramuzza Italy

Reiner Schulte Germany

Delphine Bacq France

Karin Pike‐Overzet Netherlands

E. Kremmer Germany

Ralph Snodgrass United States

Nelly Noraz France

Jennifer Ashley

654 ×1.2

IMMUN

129 ×0.4

HEMAT

415 ×1.5

MB

319 ×2.0

ONCOL

230 ×1.4

GENET

Citations per year, relative to Jennifer Ashley Jennifer Ashley (= 1×) peers Nelly Noraz

Countries citing papers authored by Jennifer Ashley

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Ashley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Ashley

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

All Works

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10 of 10 papers shown

1.

Nichols, Kim E., D. Paul Harkin, Seth Levitz, et al.. (1998). Inactivating mutations in an SH2 domain-encoding gene in X-linked lymphoproliferative syndrome. Proceedings of the National Academy of Sciences. 95(23). 13765–13770. 409 indexed citations

2.

Guimerá, Jordi, Anna Domènech, Caty Casas, et al.. (1997). Cosmid Contig and Transcriptional Map of Three Regions of Human Chromosome 21q22: Identification of 37 Novel Transcripts by Direct Selection. Genomics. 45(1). 59–67. 10 indexed citations

3.

Wise, Carol A., William A. Paznekas, Mridula Sharma, et al.. (1997). TCOF1 gene encodes a putative nucleolar phosphoprotein that exhibits mutations in Treacher Collins Syndrome throughout its coding region. Proceedings of the National Academy of Sciences. 94(7). 3110–3115. 128 indexed citations

4.

Chen, Achih, Sigrid Wayne, Adam Bell, et al.. (1997). New gene for autosomal recessive non‐syndromic hearing loss maps to either chromosome 3q or 19p. American Journal of Medical Genetics. 71(4). 467–471. 7 indexed citations

5.

Chen, Achih, Sigrid Wayne, Arabandi Ramesh, et al.. (1997). New gene for autosomal recessive non-syndromic hearing loss maps to either chromosome 3q or 19p. American Journal of Medical Genetics. 71(4). 467–471. 39 indexed citations

6.

Barbosa, Maria D.F.S., Velizar T. Tchernev, Jennifer Ashley, et al.. (1996). Identification of the homologous beige and Chediak–Higashi syndrome genes. Nature. 382(6588). 262–265. 392 indexed citations

7.

Kingsmore, Stephen F., Maria D.F.S. Barbosa, Jennifer Ashley, et al.. (1996). Physical mapping of the beige critical region on mouse Chromosome 13. Mammalian Genome. 7(10). 773–775. 8 indexed citations

8.

Mastro, Richard G. Del, Andrew Simmons, Teresa D. Gallardo, et al.. (1995). Human chromosome-specific cDNA libraries: new tools for gene identification and genome annotation.. Genome Research. 5(2). 185–194. 13 indexed citations

9.

Ashley, Jennifer & Flora Katz. (1994). Competition and position-dependent targeting in the development of the Drosophila R7 visual projections. Development. 120(6). 1537–1547. 26 indexed citations

10.

Ashley, Jennifer, et al.. (1984). Never Say Never. 2 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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