Chad Garner
Impact in
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders
- Genetic Associations and Epidemiology
- Hematology top 1%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 21
- Hemoglobinopathies and Related Disorders 15
- Genetic Associations and Epidemiology 15
- Genomic variations and chromosomal abnormalities 7
- Co-authors
- Swee Lay Thein (15 shared papers)Steve Best (10 shared papers)Stephan Menzel (10 shared papers)Tim D. Spector (7 shared papers)Martin Farrall (5 shared papers)Montgomery Slatkin (4 shared papers)Masao Yamaguchi (2 shared papers)Fumihiko Matsuda (3 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Blood (5 papers)PLoS ONE (4 papers)British Journal of Haematology (4 papers)Genetic Epidemiology (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Chad Garner
61 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 122
- Genetics 871
- Hematology 588
- Genetics 550
- Endocrine and Autonomic Systems 125
- Cancer Research 269
Countries citing papers authored by Chad Garner
This map shows the geographic impact of Chad Garner'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 Chad Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Garner more than expected).
Fields of papers citing papers by Chad Garner
This network shows the impact of papers produced by Chad Garner. 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 Chad Garner. The network helps show where Chad Garner may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Garner, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 396 | |
| 2 | 2014 | 360 | |
| 3 | 2007 | 230 | |
| 4 | 2016 | 196 | |
| 5 | 1996 | 140 | |
| 6 | 2000 | 89 | |
| 7 | 2017 | 74 | |
| 8 | 2007 | 69 | |
| 9 | 2005 | 61 | |
| 10 | 2002 | 61 | |
| 11 | 2006 | 55 | |
| 12 | 2011 | 53 | |
| 13 | 2004 | 47 | |
| 14 | 2005 | 47 | |
| 15 | 2014 | 44 | |
| 16 | 2001 | 44 | |
| 17 | 2012 | 43 | |
| 18 | 2000 | 42 | |
| 19 | 2000 | 40 | |
| 20 | 2003 | 39 |
About Chad Garner
Chad Garner is a scholar working on Genetics, Genetics, Molecular Biology, Hematology and Pediatrics, Perinatology and Child Health, having authored 62 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Genetic Associations and Epidemiology (15 papers), Iron Metabolism and Disorders (10 papers), Prenatal Screening and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Cancer Genomics and Diagnostics (6 papers) and Celiac Disease Research and Management (4 papers). The work is most often cited by research in Genetics (871 citations), Hematology (588 citations), Genetics (550 citations), Endocrine and Autonomic Systems (125 citations) and Cancer Research (269 citations). Chad Garner has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Swee Lay Thein, Steve Best, Stephan Menzel, Tim D. Spector, Martin Farrall, Montgomery Slatkin, Masao Yamaguchi, Fumihiko Matsuda, Helen Rooks and Tara TeSlaa. Their work appears in journals such as Journal of Clinical Oncology, Blood, PLoS ONE, British Journal of Haematology and Genetic Epidemiology.
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.