N E Haites

5.1k citations
81 papers · 4.3k · h-index 32

Impact in

Papers in

N E Haites

80 papers receiving 4k citations

Peers

N E Haites
Comparison fields: 5 of 129
  • Genetics 1.2k
  • Reproductive Medicine 257
  • Neurology 246
  • Cellular and Molecular Neuroscience 280
  • Cancer Research 202
Replace Gregory T. Jones with:
Gregory T. Jones New Zealand
Constance Turman United States
C. Sue Richards United States
Susan A. Berry United States
Allen E. Bale United States
Shern L. Chew United Kingdom
Hubert J. Wolfe United States
Anne Gompel France
Shweta Choudhry United States
Akira Hata Japan
N E Haites relative to Gregory T. Jones New Zealand Gregory T. Jones's profile →
Citations per field
00.5×1.5×2×2.5×
Gregory T. Jones · 1×
Citations per year

Countries citing papers authored by N E Haites

Since Specialization
Citations

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

Fields of papers citing papers by N E Haites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N E Haites. 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 N E Haites. The network helps show where N E Haites may publish in the future.

Co-authors

The 25 scholars most cited alongside N E Haites, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N E Haites Line = papers co-authored together N E Haites links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998579
2 1998340
3 2003306
4 2007235
5
Most germ-line mutations in the nevoid basal cell carcinoma syndrome lead to a premature termination of the PATCHED protein, and no genotype-phenotype correlations are evident.
1997229
6 1994169
7
p53 mutation is a common genetic event in ovarian carcinoma.
1993158
8 2006137
9 2001128
10 1999115
11 2002104
12 200795
13 199693
14 199890
15 198684
16 199581
17
Early loss of heterozygosity on 17q in ovarian cancer. The Abe Ovarian Cancer Genetics Group.
199280
18 198876
19 199373
20 199062

About N E Haites

N E Haites is a scholar working on Genetics, Cellular and Molecular Neuroscience, Reproductive Medicine, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 81 papers that have together received 4.3k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (18 papers), Hereditary Neurological Disorders (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Genomics and Rare Diseases (4 papers), Retinal Development and Disorders (4 papers), Hormonal Regulation and Hypertension (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Genetics (1.2k citations), Reproductive Medicine (257 citations), Neurology (246 citations), Cellular and Molecular Neuroscience (280 citations) and Cancer Research (202 citations). N E Haites has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include John M Rawles, Howard L. McLeod, Edwin van Teijlingen, Diana Eccles, Heather M. Wilson, Zosia Miedzybrodzka, Henry Charles Kitchener, John T. Price, A. Kidd and Patrick H. Rooney. Their work appears in journals such as Journal of Medical Genetics, British Journal of Cancer, Disease Markers, Occupational and Environmental Medicine and European Journal of Cancer.

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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