Steve Best
Impact in
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders
- Hematology top 1%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 18
- Hemoglobinopathies and Related Disorders 16
- Genomic variations and chromosomal abnormalities 3
- Virus-based gene therapy research 2
-
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 3
- Co-authors
- Swee Lay Thein (20 shared papers)Jie Jiang (9 shared papers)Nicholas Silver (8 shared papers)Paul Le Tissier (2 shared papers)Jonathan P. Stoye (2 shared papers)Greg J. Towers (1 shared paper)Stephan Menzel (11 shared papers)Chad Garner (10 shared papers)
- Journals
- Blood (9 papers)British Journal of Haematology (3 papers)Blood Cells Molecules and Diseases (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genomics (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Steve Best
30 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 1.1k
- Hematology 757
- Virology 199
- Molecular Biology 2.0k
- Pediatrics, Perinatology and Child Health 410
Countries citing papers authored by Steve Best
This map shows the geographic impact of Steve Best'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 Steve Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Best more than expected).
Fields of papers citing papers by Steve Best
This network shows the impact of papers produced by Steve Best. 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 Steve Best. The network helps show where Steve Best may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Best, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR Hit paper breakdown → | 2006 | 1359 |
| 2 | 1996 | 397 | |
| 3 | 2007 | 393 | |
| 4 | 2007 | 226 | |
| 5 | 2014 | 142 | |
| 6 | 2006 | 139 | |
| 7 | 2006 | 87 | |
| 8 | 1997 | 74 | |
| 9 | 2009 | 71 | |
| 10 | 2002 | 61 | |
| 11 | 1999 | 58 | |
| 12 | 2006 | 54 | |
| 13 | 2010 | 48 | |
| 14 | 2004 | 47 | |
| 15 | 2003 | 39 | |
| 16 | 2012 | 26 | |
| 17 | 2005 | 20 | |
| 18 | 2009 | 19 | |
| 19 | 2005 | 13 | |
| 20 | 2000 | 10 |
About Steve Best
Steve Best is a scholar working on Genetics, Molecular Biology, Hematology, Pediatrics, Perinatology and Child Health and Genetics, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (16 papers), Iron Metabolism and Disorders (7 papers), Prenatal Screening and Diagnostics (6 papers), Epigenetics and DNA Methylation (5 papers), Blood groups and transfusion (5 papers), RNA modifications and cancer (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Genetics (1.1k citations), Hematology (757 citations), Virology (199 citations), Molecular Biology (2.0k citations) and Pediatrics, Perinatology and Child Health (410 citations). Steve Best has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Swee Lay Thein, Jie Jiang, Nicholas Silver, Paul Le Tissier, Jonathan P. Stoye, Greg J. Towers, Stephan Menzel, Chad Garner, Tim D. Spector and Helen Rooks. Their work appears in journals such as Blood, British Journal of Haematology, Blood Cells Molecules and Diseases, Proceedings of the National Academy of Sciences and Genomics.
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.