Neva E. Haites
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
-
- Hereditary Neurological Disorders
- Genetic Neurodegenerative Diseases
Papers in
- Genetics 20
- BRCA gene mutations in cancer 18
- Nutrition, Genetics, and Disease 4
-
- Connexins and lens biology 3
- Glutathione Transferases and Polymorphisms 3
- Co-authors
- Eva Nelis (3 shared papers)Christine Van Broeckhoven (3 shared papers)Linda Sharp (7 shared papers)John G. Simpson (8 shared papers)Douglas Adamson (2 shared papers)Brenda J. Wilson (4 shared papers)Derek J. King (2 shared papers)Edwin van Teijlingen (3 shared papers)
- Journals
- Kidney International (5 papers)Human Mutation (4 papers)The Journal of Pathology (3 papers)Disease Markers (3 papers)Familial Cancer (3 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Neva E. Haites
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Genetics 428
- Cellular and Molecular Neuroscience 261
- Nephrology 83
- Cancer Research 159
- Oncology 268
Countries citing papers authored by Neva E. Haites
This map shows the geographic impact of Neva 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 Neva 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 Neva E. Haites more than expected).
Fields of papers citing papers by Neva E. Haites
This network shows the impact of papers produced by Neva 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 Neva E. Haites. The network helps show where Neva E. Haites may publish in the future.
Co-authors
The 25 scholars most cited alongside Neva E. Haites, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 187 | |
| 2 | 2004 | 141 | |
| 3 | 1998 | 111 | |
| 4 | 2002 | 95 | |
| 5 | 2001 | 86 | |
| 6 | 1992 | 64 | |
| 7 | 1996 | 59 | |
| 8 | 2003 | 57 | |
| 9 | 2006 | 54 | |
| 10 | 1998 | 49 | |
| 11 | 2002 | 46 | |
| 12 | 1994 | 45 | |
| 13 | 2007 | 43 | |
| 14 | 1997 | 43 | |
| 15 | 2001 | 43 | |
| 16 | 1996 | 38 | |
| 17 | 2000 | 38 | |
| 18 | 2000 | 36 | |
| 19 | 2005 | 36 | |
| 20 | 2004 | 34 |
About Neva E. Haites
Neva E. Haites is a scholar working on Genetics, Molecular Biology, Cancer Research, Oncology and Genetics, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (18 papers), Cell Adhesion Molecules Research (5 papers), Nutrition, Genetics, and Disease (4 papers), Cancer Genomics and Diagnostics (4 papers), Hereditary Neurological Disorders (4 papers), Connexins and lens biology (3 papers), Glutathione Transferases and Polymorphisms (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Genetics (428 citations), Cellular and Molecular Neuroscience (261 citations), Nephrology (83 citations), Cancer Research (159 citations) and Oncology (268 citations). Neva E. Haites has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Eva Nelis, Christine Van Broeckhoven, Linda Sharp, John G. Simpson, Douglas Adamson, Brenda J. Wilson, Derek J. King, Edwin van Teijlingen, Sheila A Simpson and Eric Matthews. Their work appears in journals such as Kidney International, Human Mutation, The Journal of Pathology, Disease Markers and Familial 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.