Scott Newman

7.2k citations
81 papers · 2.3k · h-index 26

Impact in

    • Cancer Genomics and Diagnostics
  • Genetics top 2%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genetic and phenotypic traits in livestock 23
    • Genomic variations and chromosomal abnormalities 12
    • Genetic Mapping and Diversity in Plants and Animals 8

Scott Newman

74 papers receiving 2.2k citations

Peers

Scott Newman
Comparison fields: 5 of 141
  • Cancer Research 512
  • Genetics 823
  • Agronomy and Crop Science 227
  • Oncology 423
  • Reproductive Medicine 130
Replace Hiroaki Nitta with:
Hiroaki Nitta United States
Rosemary Sutton Australia
Kathleen H. Burns United States
Massimo Romani Italy
Doris Brown United States
David W. Bullock United States
Gilbert H. Smith United States
L. Bjersing Sweden
Michael Lawrence United States
Tim Dexter United Kingdom
Scott Newman relative to Hiroaki Nitta United States Hiroaki Nitta's profile →
Citations per field
00.5×2.7×
Hiroaki Nitta · 1×
Citations per year

Countries citing papers authored by Scott Newman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Scott Newman Line = papers co-authored together Scott Newman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015263
2 2011171
3 2019169
4 2011161
5 1989123
6 2015118
7 199480
8 201175
9 199572
10 200064
11 200962
12 199659
13 199258
14 201454
15 199246
16 199344
17 201144
18 201941
19 200235
20 201134

About Scott Newman

Scott Newman is a scholar working on Genetics, Molecular Biology, Cancer Research, Plant Science and Pulmonary and Respiratory Medicine, 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), Acute Myeloid Leukemia Research (5 papers), Genetics and Plant Breeding (5 papers) and Multiple Myeloma Research and Treatments (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, M. Katharine Rudd, Karen Hermetz, Brooke Weckselblatt and Bradford Knapp. 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.

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