Nancy Green
Impact in
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
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- Infant Development and Preterm Care
- Prenatal Screening and Diagnostics
Papers in
- Genetics 63
- Hemoglobinopathies and Related Disorders 59
- Hematology 32
- Iron Metabolism and Disorders 29
- Co-authors
- Clifford Nass (1 shared paper)Youngme Moon (1 shared paper)Joann R. Petrini (4 shared papers)Todd Dias (3 shared papers)Karla H. Damus (5 shared papers)Rebecca Russell (2 shared papers)Michael J. Davidoff (2 shared papers)Richard H. Schwarz (3 shared papers)
- Journals
- Pediatric Blood & Cancer (15 papers)Genetics in Medicine (9 papers)Journal of Pediatric Hematology/Oncology (6 papers)Blood (5 papers)PEDIATRICS (4 papers)
- Partner nations
- United StatesUgandaCanada
In The Last Decade
Nancy Green
179 papers receiving 5.6k citations
Nancy Green's Hit Papers
Peers
Comparison fields: 5 of 198
- Genetics 908
- Pediatrics, Perinatology and Child Health 1.1k
- Ecological Modeling 267
- Clinical Biochemistry 285
- Hematology 466
Countries citing papers authored by Nancy Green
This map shows the geographic impact of Nancy Green'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 Nancy Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Green more than expected).
Fields of papers citing papers by Nancy Green
This network shows the impact of papers produced by Nancy Green. 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 Nancy Green. The network helps show where Nancy Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Green, 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 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Are Machines Gender Neutral? Gender‐Stereotypic Responses to Computers With Voices Hit paper breakdown → | 1997 | 529 |
| 2 | 2006 | 467 | |
| 3 | 2007 | 448 | |
| 4 | 2008 | 349 | |
| 5 | 2012 | 211 | |
| 6 | 2005 | 163 | |
| 7 | 2015 | 160 | |
| 8 | 2020 | 141 | |
| 9 | 2005 | 139 | |
| 10 | 1989 | 134 | |
| 11 | 2005 | 120 | |
| 12 | 2013 | 117 | |
| 13 | 2016 | 94 | |
| 14 | 2002 | 93 | |
| 15 | 2010 | 73 | |
| 16 | 2010 | 72 | |
| 17 | 2020 | 70 | |
| 18 | 1986 | 61 | |
| 19 | 2016 | 60 | |
| 20 | 2012 | 59 |
About Nancy Green
Nancy Green is a scholar working on Genetics, Hematology, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Clinical Biochemistry, having authored 185 papers that have together received 6.0k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (59 papers), Iron Metabolism and Disorders (29 papers), Topic Modeling (19 papers), Natural Language Processing Techniques (14 papers), Prenatal Screening and Diagnostics (13 papers), Metabolism and Genetic Disorders (12 papers), Speech and dialogue systems (12 papers) and Multi-Agent Systems and Negotiation (11 papers). The work is most often cited by research in Genetics (908 citations), Pediatrics, Perinatology and Child Health (1.1k citations), Ecological Modeling (267 citations), Clinical Biochemistry (285 citations) and Hematology (466 citations). Nancy Green has collaborated with scholars based in United States, Uganda and Canada. Frequent co-authors include Clifford Nass, Youngme Moon, Joann R. Petrini, Todd Dias, Karla H. Damus, Rebecca Russell, Michael J. Davidoff, Richard H. Schwarz, Siobhan M. Dolan and Sandra Carberry. Their work appears in journals such as Pediatric Blood & Cancer, Genetics in Medicine, Journal of Pediatric Hematology/Oncology, Blood and PEDIATRICS.
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.