Scott Newman
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 18
- Genetics top 2%
- Genetic and phenotypic traits in livestock 23
- Genomic variations and chromosomal abnormalities 12
- Genetic Mapping and Diversity in Plants and Animals 8
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock 5
- Oncology top 10%
- Reproductive Medicine top 5%
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- Chromosomal and Genetic Variations 7
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- Multiple Myeloma Research and Treatments 5
- Acute Myeloid Leukemia Research 5
- Co-authors
- M. D. MacNeilR. W. PonzoniStephen C. WestThomas WechslerPaul A. EdwardsD. L. HarrisKaren HermetzM. Katharine Rudd
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Scott Newman
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 512
- Genetics 823
- Agronomy and Crop Science 227
- Oncology 423
- Reproductive Medicine 130
Countries citing papers authored by Scott Newman
This map shows the geographic impact of Scott Newman'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 Scott Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Newman more than expected).
Fields of papers citing papers by Scott Newman
This network shows the impact of papers produced by Scott Newman. 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 Scott Newman. The network helps show where Scott Newman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Scott Newman, 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 | 12 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 13 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 41 | |
| 9 | 2016 | 6 | |
| 10 | 2015 | 33 | |
| 11 | 2014 | 54 | |
| 12 | 2011 | 75 | |
| 13 | 2011 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2002 | 35 | |
| 16 | 1996 | 59 | |
| 17 | 1993 | 26 | |
| 18 | 1993 | 44 | |
| 19 | 1992 | 46 | |
| 20 | Pharyngostomy tube induced esophagitis in the dog: an experimental study | 1983 | 7 |
About Scott Newman
Scott Newman is a scholar working on Cancer Research, Genetics, Hematology, Leadership and Management and Agronomy and Crop Science, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (23 papers), Cancer Genomics and Diagnostics (18 papers), Genomic variations and chromosomal abnormalities (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Chromosomal and Genetic Variations (7 papers), Multiple Myeloma Research and Treatments (5 papers), Acute Myeloid Leukemia Research (5 papers) and Reproductive Physiology in Livestock (5 papers). The work is most often cited by research in Cancer Research (512 citations), Genetics (823 citations), Agronomy and Crop Science (227 citations), Oncology (423 citations) and Reproductive Medicine (130 citations). Scott Newman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include M. D. MacNeil, R. W. Ponzoni, Stephen C. West, Thomas Wechsler, Paul A. Edwards, D. L. Harris, Karen Hermetz, M. Katharine Rudd, Brooke Weckselblatt and J. J. Urick. Their work appears in journals such as Journal of Animal Science, Blood, Nature Communications, Bioinformatics and Journal of Animal Breeding and 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.