Trent Newman

944 citations
16 papers · 788 indexed · 1 hit paper · h-index 10
Topics
Genetic Syndromes and Imprinting (3 papers)Epigenetics and DNA Methylation (3 papers)Genomics and Chromatin Dynamics (3 papers)

In The Last Decade

Trent Newman

16 papers receiving 750 citations

Hit Papers

Genes Galore: A Summary of Methods for Accessing Results ...19942026200420151994100200300400500

Peers

Trent Newman
Comparison fields: 5 of 75
  • Molecular Biology 574
  • Plant Science 399
  • Genetics 120
  • Cell Biology 54
  • Biochemistry 35
Replace Zhengwu Fang with:
Zhengwu Fang China
László Ökrész Hungary
Zhihui Xia China
Wolf-Dieter Reiter United States
Koh-ichi Kadowaki Japan
Monther Sadder Jordan
Sung Han Ok South Korea
Sara Movahedi United Kingdom
Daoquan Xiang Canada
Kanako Kurita Japan
Trent Newman relative to Zhengwu Fang China Zhengwu Fang's profile →
Citations per field
00.5×2.7×
Zhengwu Fang · 1×
Citations per year

Countries citing papers authored by Trent Newman

Since Specialization
Citations

This map shows the geographic impact of Trent 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 Trent Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trent Newman more than expected).

Fields of papers citing papers by Trent Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trent 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 Trent Newman. The network helps show where Trent Newman may publish in the future.

Co-authorship network of co-authors of Trent Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Trent Newman. A scholar is included among the top collaborators of Trent Newman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trent Newman. Trent Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 1
3 1
4 9
5 1
6 4
7 25
8 17
9 20
10 20
11 25
12 15
13 1
14
Genes Galore: A Summary of Methods for Accessing Results from Large-Scale Partial Sequencing of Anonymous Arabidopsis cDNA Clonesbreakdown →
558
15 70
16 18

About Trent Newman

Trent Newman is a scholar working on Obstetrics and Gynecology, Physiology and Genetics, having authored 16 papers that have together received 788 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Plant Science (399 citations), Molecular Biology (574 citations) and Biochemistry (35 citations). Trent Newman has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Kenneth Keegstra, John B. Ohlrogge, Hans Kende, Christopher R. Somerville, Shauna Somerville, Lee McIntosh, Ernest F. Retzel, Natasha V. Raikhel, Frans J. de Bruijn and Michael F. Thomashow. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

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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