N E Haites

71 papers receiving 3.0k citations

Peers

N E Haites
Comparison fields: 5 of 145
  • Genetics 808
  • Cancer Research 429
  • Reproductive Medicine 224
  • Oncology 612
  • Pathology and Forensic Medicine 349
Replace Andrea Lania with:
Andrea Lania Italy
Edmée Franssen Canada
Bruce W. Eckloff United States
Paul G. Walfish Canada
J. A. Franklyn United Kingdom
Jeffrey A. Jones United States
A C Moses United States
Akira Hata Japan
Sue A. Ingles United States
Sharon J. Elliot United States
N E Haites relative to Andrea Lania Italy Andrea Lania's profile →
Citations per field
00.5×1.5×
Andrea Lania · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003291
2 1998281
3 2007214
4
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.
1997213
5
p53 mutation is a common genetic event in ovarian carcinoma.
1993153
6 2001126
7 2006121
8 1999107
9 2002104
10 199689
11 200785
12 199884
13 198677
14
Early loss of heterozygosity on 17q in ovarian cancer. The Abe Ovarian Cancer Genetics Group.
199274
15 198871
16 199565
17 199358
18 199055
19 200346
20 200144

About N E Haites

N E Haites is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 72 papers that have together received 3.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (12 papers), Genetic factors in colorectal cancer (8 papers), Ovarian cancer diagnosis and treatment (8 papers), Cancer Genomics and Diagnostics (7 papers), Cancer-related Molecular Pathways (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Hereditary Neurological Disorders (4 papers). The work is most often cited by research in Genetics (808 citations), Cancer Research (429 citations), Reproductive Medicine (224 citations), Oncology (612 citations) and Pathology and Forensic Medicine (349 citations). N E Haites has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include John Rawles, Kevin F. Kelly, Howard L. McLeod, Martin McKee, Emma Matthews, Edwin van Teijlingen, Karen Forrest, Diana Eccles, Heather M. Wilson and John T. Price. Their work appears in journals such as Journal of Medical Genetics, British Journal of Cancer, European Journal of Cancer, Occupational and Environmental Medicine and Prenatal Diagnosis.

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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