David Ravine

8.4k total citations
74 papers, 4.8k citations indexed

About

David Ravine is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, David Ravine has authored 74 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 36 papers in Molecular Biology and 18 papers in Cognitive Neuroscience. Recurrent topics in David Ravine's work include Genetics and Neurodevelopmental Disorders (21 papers), Genetic and Kidney Cyst Diseases (19 papers) and Autism Spectrum Disorder Research (18 papers). David Ravine is often cited by papers focused on Genetics and Neurodevelopmental Disorders (21 papers), Genetic and Kidney Cyst Diseases (19 papers) and Autism Spectrum Disorder Research (18 papers). David Ravine collaborates with scholars based in Australia, United Kingdom and United States. David Ravine's co-authors include Robert N. Gibson, Helen Leonard, Eliécer Coto, Nicholas de Klerk, P Kincaid-Smith, D. M. Danks, Martijn H. Breuning, John Christodoulou, Roser Torrá and Nick Hateboer and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Genetics.

In The Last Decade

David Ravine

73 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Ravine Australia 35 3.6k 2.5k 931 546 448 74 4.8k
Thomas Eggermann Germany 44 4.5k 1.3× 4.2k 1.7× 385 0.4× 2.5k 4.6× 130 0.3× 299 7.0k
Marcy C. Speer United States 38 1.5k 0.4× 2.7k 1.1× 131 0.1× 683 1.3× 1.2k 2.6× 125 8.2k
Markku Ryynänen Finland 38 953 0.3× 1.1k 0.4× 399 0.4× 1.0k 1.9× 119 0.3× 132 4.4k
Suzanne B. Cassidy United States 38 5.9k 1.7× 2.8k 1.1× 793 0.9× 2.0k 3.7× 21 0.0× 107 7.0k
Albert E. Chudley Canada 38 1.8k 0.5× 1.6k 0.7× 563 0.6× 1.9k 3.5× 21 0.0× 173 4.9k
Joël Zlotogora Israel 35 2.0k 0.6× 1.9k 0.8× 138 0.1× 690 1.3× 40 0.1× 170 5.0k
Ankita Patel United States 42 4.1k 1.2× 2.8k 1.1× 406 0.4× 1.7k 3.0× 28 0.1× 143 6.5k
Mordechai Shohat Israel 25 699 0.2× 1.6k 0.7× 216 0.2× 270 0.5× 203 0.5× 106 2.9k
Robert J. Hopkin United States 40 1.1k 0.3× 1.5k 0.6× 115 0.1× 387 0.7× 84 0.2× 189 5.8k
Reijo Norio Finland 36 1.8k 0.5× 1.1k 0.5× 67 0.1× 401 0.7× 224 0.5× 69 3.6k

Countries citing papers authored by David Ravine

Since Specialization
Citations

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

Fields of papers citing papers by David Ravine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ravine

This figure shows the co-authorship network connecting the top 25 collaborators of David Ravine. A scholar is included among the top collaborators of David Ravine 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 David Ravine. David Ravine 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.
Masi, Anne, Edmond J. Breen, Gail A. Alvares, et al.. (2017). Cytokine levels and associations with symptom severity in male and female children with autism spectrum disorder. Molecular Autism. 8(1). 63–63. 84 indexed citations
2.
An, Joon‐Yong, Alexandre S. Cristino, Qiongyi Zhao, et al.. (2014). Towards a molecular characterization of autism spectrum disorders: an exome sequencing and systems approach. Translational Psychiatry. 4(6). e394–e394. 50 indexed citations
3.
Bebbington, Ami, Alan K. Percy, John Christodoulou, et al.. (2009). Updating the profile of C-terminal MECP2 deletions in Rett syndrome. Journal of Medical Genetics. 47(4). 242–248. 54 indexed citations
4.
Pei, York, Annie Dupuis, Andrew D. Paterson, et al.. (2008). Unified Criteria for Ultrasonographic Diagnosis of ADPKD. Journal of the American Society of Nephrology. 20(1). 205–212. 498 indexed citations
5.
Young, Deidra J., Ami Bebbington, Alison Anderson, et al.. (2007). The diagnosis of autism in a female: could it be Rett syndrome?. European Journal of Pediatrics. 167(6). 661–669. 56 indexed citations
6.
Gout, Alexander M., et al.. (2007). PKDB: Polycystic Kidney Disease Mutation Database-a gene variant database for autosomal dominant polycystic kidney disease. Human Mutation. 28(7). 654–659. 40 indexed citations
7.
Gout, Alexander M. & David Ravine. (2007). Analysis of published PKD1 gene sequence variants. Nature Genetics. 39(4). 427–428. 16 indexed citations
8.
Kankirawatana, Pongkiat, Helen Leonard, Carolyn Ellaway, et al.. (2006). Early progressive encephalopathy in boys and MECP2 mutations. Neurology. 67(1). 164–166. 71 indexed citations
9.
Laurvick, Crystal L., Nicholas de Klerk, Carol Bower, et al.. (2006). Rett syndrome in Australia: A review of the epidemiology. The Journal of Pediatrics. 148(3). 347–352. 268 indexed citations
10.
Jian, Le, Hayley Archer, David Ravine, et al.. (2005). p.R270X MECP2 mutation and mortality in Rett syndrome. European Journal of Human Genetics. 13(11). 1235–1238. 29 indexed citations
11.
McCune, C. Anne, et al.. (2003). Screening for hereditary haemochromatosis within families and beyond. The Lancet. 362(9399). 1897–1898. 16 indexed citations
12.
Hateboer, Nick, Curtis Gumbs, M. Dawn Teare, et al.. (2001). Confirmation of a gene locus for medullary cystic kidney disease (MCKD2) on chromosome 16p12. Kidney International. 60(4). 1233–1239. 17 indexed citations
13.
Jackson, H, Kymberley Carter, C. Darke, et al.. (2001). HFE mutations, iron deficiency and overload in 10 500 blood donors. British Journal of Haematology. 114(2). 474–484. 171 indexed citations
14.
Hateboer, Nick, Marjan A. van Dijk, Nadja Bogdanova, et al.. (1999). Comparison of phenotypes of polycystic kidney disease types 1 and 2. The Lancet. 353(9147). 103–107. 433 indexed citations
15.
Hateboer, Nick, L. Lazarou, Andrew J Williams, Peter Holmans, & David Ravine. (1999). Familial phenotype differences in PKD1. Kidney International. 56(1). 34–40. 46 indexed citations
16.
Veldhuisen, Barbera, Jasper J. Saris, Simone de Haij, et al.. (1997). A Spectrum of Mutations in the Second Gene for Autosomal Dominant Polycystic Kidney Disease (PKD2). The American Journal of Human Genetics. 61(3). 547–555. 77 indexed citations
17.
Baboolal, Keshwar, et al.. (1997). Association of the ACE gene deletion polymorphism and early onset of ESRF in PKD1 ADPKD. Kidney International. 52(4). 1126–1126. 1 indexed citations
18.
Ravine, David. (1994). Medical genetics: advances in brief: Mutations in the fibroblast growth factor receptor 2 gene cause Crouzon syndrome. Journal of Medical Genetics. 31(11). 895–895. 1 indexed citations
19.
Shanley, Susan, John W. Ratcliffe, Athel Hockey, et al.. (1994). Nevoid basal cell carcinoma syndrome: Review of 118 affected individuals. American Journal of Medical Genetics. 50(3). 282–290. 250 indexed citations
20.
Ravine, David. (1991). Treatable complications in undiagnosed cases of autosomal dominant polycystic kidney disease. The Lancet. 337(8734). 127–129. 21 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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