Robert M. Greenstein
Impact in
-
- Prenatal Screening and Diagnostics
- Assisted Reproductive Technology and Twin Pregnancy
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genetic Syndromes and Imprinting
Papers in
-
- Prenatal Screening and Diagnostics 6
- Co-authors
- Suzanne B. CassidyTom S. ChanHoward M. SaalMaurice J. MahoneyMiriam S. DiMaioWilliam E. ScorzaAlex R. PaciorkowskiJohn F. Rodis
- Journals
- Cancer (2 papers)Journal of Inherited Metabolic Disease (2 papers)American Journal of Obstetrics and Gynecology (2 papers)PEDIATRICS (2 papers)Cytogenetic and Genome Research (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert M. Greenstein
39 papers receiving 859 citations
Peers
Comparison fields: 5 of 85
- Pediatrics, Perinatology and Child Health 281
- Genetics 270
- Clinical Biochemistry 32
- Developmental Biology 10
- Neurology 70
Countries citing papers authored by Robert M. Greenstein
This map shows the geographic impact of Robert M. Greenstein'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 M. Greenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Greenstein more than expected).
Fields of papers citing papers by Robert M. Greenstein
This network shows the impact of papers produced by Robert M. Greenstein. 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 M. Greenstein. The network helps show where Robert M. Greenstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert M. Greenstein, 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 | 2011 | 16 | |
| 2 | 2008 | 29 | |
| 3 | 2007 | 22 | |
| 4 | 2006 | 17 | |
| 5 | 2005 | 10 | |
| 6 | 2004 | 10 | |
| 7 | 2004 | 6 | |
| 8 | 1995 | 3 | |
| 9 | 1994 | 38 | |
| 10 | 1994 | 19 | |
| 11 | 1994 | 3 | |
| 12 | 1994 | 27 | |
| 13 | 1993 | 9 | |
| 14 | 1993 | 19 | |
| 15 | 1991 | 22 | |
| 16 | 1988 | 12 | |
| 17 | 1987 | 41 | |
| 18 | 1984 | 57 | |
| 19 | 1981 | 18 | |
| 20 | 1977 | 15 |
About Robert M. Greenstein
Robert M. Greenstein is a scholar working on Developmental Biology, Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Genetics and Genetics, having authored 39 papers that have together received 904 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (6 papers), Genomic variations and chromosomal abnormalities (5 papers), Folate and B Vitamins Research (4 papers), Metabolism and Genetic Disorders (3 papers), Neonatal Respiratory Health Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Pregnancy and preeclampsia studies (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (281 citations), Genetics (270 citations), Clinical Biochemistry (32 citations), Developmental Biology (10 citations) and Neurology (70 citations). Robert M. Greenstein has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Suzanne B. Cassidy, Tom S. Chan, Howard M. Saal, Maurice J. Mahoney, Miriam S. DiMaio, William E. Scorza, Alex R. Paciorkowski, John F. Rodis, Francis J. DiMario and Jeffrey S. Hyams. Their work appears in journals such as Cancer, Journal of Inherited Metabolic Disease, American Journal of Obstetrics and Gynecology, PEDIATRICS and Cytogenetic and Genome Research.
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.