Jane Prosser

3.5k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

Jane Prosser is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jane Prosser has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Oncology. Recurrent topics in Jane Prosser's work include Developmental Biology and Gene Regulation (3 papers), RNA modifications and cancer (2 papers) and Retinal Development and Disorders (2 papers). Jane Prosser is often cited by papers focused on Developmental Biology and Gene Regulation (3 papers), RNA modifications and cancer (2 papers) and Retinal Development and Disorders (2 papers). Jane Prosser collaborates with scholars based in United Kingdom, France and Russia. Jane Prosser's co-authors include Veronica van Heyningen, Isabel M. Hanson, Tim Jordan, Nicholas D. Hastie, Grady F. Saunders, Brigid L.M. Hogan, Carl C.T. Ton, Robert E. Hill, Jack Favor and Shirley Hodgson and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Jane Prosser

9 papers receiving 1.8k citations

Hit Papers

Mouse Small eye results from mutations in a paired-like h... 1991 2026 2002 2014 1991 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Prosser United Kingdom 8 1.6k 564 253 172 151 9 1.9k
Anne Seawright United Kingdom 18 1.6k 1.0× 580 1.0× 161 0.6× 145 0.8× 111 0.7× 22 1.9k
Kathleen A. Williamson United Kingdom 21 1.2k 0.8× 836 1.5× 228 0.9× 87 0.5× 134 0.9× 35 1.8k
Peter Gruss Germany 19 1.9k 1.2× 847 1.5× 93 0.4× 187 1.1× 172 1.1× 24 2.5k
Hajime Ogino Japan 25 1.6k 1.0× 460 0.8× 136 0.5× 153 0.9× 235 1.6× 59 1.9k
Bharesh K. Chauhan United States 20 1.1k 0.7× 261 0.5× 189 0.7× 118 0.7× 324 2.1× 28 1.4k
Curtis R. Altmann United States 12 1.4k 0.9× 339 0.6× 103 0.4× 177 1.0× 263 1.7× 17 1.6k
Tim Jordan United Kingdom 14 2.8k 1.8× 1.1k 2.0× 656 2.6× 243 1.4× 295 2.0× 14 3.5k
Claudia Walther Germany 8 2.5k 1.6× 733 1.3× 129 0.5× 381 2.2× 212 1.4× 8 2.9k
Christine Vincent France 19 1.5k 0.9× 542 1.0× 108 0.4× 147 0.9× 196 1.3× 27 2.0k
Dirk A. Kleinjan United Kingdom 21 1.6k 1.0× 921 1.6× 164 0.6× 77 0.4× 126 0.8× 30 2.1k

Countries citing papers authored by Jane Prosser

Since Specialization
Citations

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

Fields of papers citing papers by Jane Prosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Prosser

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

All Works

9 of 9 papers shown
1.
Prosser, Jane & Veronica van Heyningen. (1998). PAX6 mutations reviewed. Human Mutation. 11(2). 93–108. 217 indexed citations
2.
Hughes, David C., Jane Prosser, Laura A. Lettice, et al.. (1997). Cloning and Sequencing of the MouseGli2Gene: Localization to theDominant hemimeliaCritical Region. Genomics. 39(2). 205–215. 28 indexed citations
3.
Dry, Katherine L., Micheala A. Aldred, Forbes Manson, et al.. (1995). Identification of a novel gene, ETX1, from Xp21.1, a candidate gene for X-linked retinitis pigmentosa (RP3). Human Molecular Genetics. 4(12). 2347–2353. 23 indexed citations
4.
Condie, Alison, Rosalind A. Eeles, Anne‐Lise Børresen, et al.. (1993). Detection of point mutations in the p53 gene: Comparison of single-strand conformation polymorphism, constant denaturant gel electrophoresis, and hydroxylamine and osmium tetroxide techniques. Human Mutation. 2(1). 58–66. 88 indexed citations
5.
Prosser, Jane. (1993). Detecting single-base mutations. Trends in biotechnology. 11(6). 238–246. 43 indexed citations
6.
Jordan, Tim, Isabel M. Hanson, Shirley Hodgson, et al.. (1992). The human PAX6 gene is mutated in two patients with aniridia. Nature Genetics. 1(5). 328–332. 431 indexed citations
7.
Prosser, Jane & Alison Condie. (1991). Biallelic Apal polymorphism of the human p53 gene (TP53). Nucleic Acids Research. 19(17). 4799–4799. 35 indexed citations
8.
Hill, Robert E., Jack Favor, Brigid L.M. Hogan, et al.. (1991). Mouse Small eye results from mutations in a paired-like homeobox-containing gene. Nature. 354(6354). 522–525. 984 indexed citations breakdown →
9.
Prosser, Jane, et al.. (1978). Satellite III DNA hybridised to chromosomes from patients with acute leukemia. Leukemia Research. 2(2). 151–161. 3 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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