Robert E. Pyatt
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 11
- Genomics and Rare Diseases 8
- Neurogenetic and Muscular Disorders Research 5
- Virus-based gene therapy research 4
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 6
- Genetics top 10%
- Genomic variations and chromosomal abnormalities 11
- Genomics and Rare Diseases 8
- Neurogenetic and Muscular Disorders Research 5
- Virus-based gene therapy research 4
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 4
-
- Muscle Physiology and Disorders 4
-
- Prenatal Screening and Diagnostics 6
- Co-authors
- Thomas W. PriorEdward F. SrourAndré GothotSusan RiceJon McMahelSayaka HashimotoDavid MihalCaroline Astbury
- Cited by
- GeneticsHematology
- Journals
- Blood (5 papers)European Journal of Medical Genetics (4 papers)Journal of Molecular Diagnostics (2 papers)
- Partner nations
- United StatesNigeriaPuerto Rico
In The Last Decade
Robert E. Pyatt
40 papers receiving 950 citations
Peers
Comparison fields: 5 of 86
- Genetics 313
- Hematology 198
- Genetics 223
- Pathology and Forensic Medicine 131
- Molecular Biology 496
Countries citing papers authored by Robert E. Pyatt
This map shows the geographic impact of Robert E. Pyatt'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 Robert E. Pyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Pyatt more than expected).
Fields of papers citing papers by Robert E. Pyatt
This network shows the impact of papers produced by Robert E. Pyatt. 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 Robert E. Pyatt. The network helps show where Robert E. Pyatt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert E. Pyatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2019 | 5 | |
| 3 | 2018 | 1 | |
| 4 | 2017 | 2 | |
| 5 | 2014 | 6 | |
| 6 | 2013 | 6 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2012 | 17 | |
| 11 | 2011 | 18 | |
| 12 | 2011 | 1 | |
| 13 | 2010 | 59 | |
| 14 | 2010 | 8 | |
| 15 | 2010 | 193 | |
| 16 | 2006 | 26 | |
| 17 | 2006 | 28 | |
| 18 | FIRST: A Model for Developing New Science Faculty. | 2005 | 12 |
| 19 | 2004 | 14 | |
| 20 | 1999 | 2 |
About Robert E. Pyatt
Robert E. Pyatt is a scholar working on Genetics, Hematology and Genetics, having authored 40 papers that have together received 988 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (11 papers), Genomics and Rare Diseases (8 papers), Prenatal Screening and Diagnostics (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Virus-based gene therapy research (4 papers), Muscle Physiology and Disorders (4 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Genetics (313 citations), Hematology (198 citations) and Genetics (223 citations). Robert E. Pyatt has collaborated with scholars based in United States, Nigeria and Puerto Rico. Frequent co-authors include Thomas W. Prior, Edward F. Srour, André Gothot, Susan Rice, Jon McMahel, Sayaka Hashimoto, David Mihal, Caroline Astbury, Shalini C. Reshmi and Julie M. Gastier‐Foster. Their work appears in journals such as Blood, European Journal of Medical Genetics, Journal of Molecular Diagnostics, Obstetrical & Gynecological Survey and European Journal of Human Genetics.
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.