Dan Nettleton

18.0k citations
202 papers · 9.9k · h-index 55

Impact in

  • Plant Science top 0.1%
    • Plant Molecular Biology Research
    • Plant-Microbe Interactions and Immunity
    • Chromosomal and Genetic Variations
    • Legume Nitrogen Fixing Symbiosis
    • Plant nutrient uptake and metabolism
    • Plant Virus Research Studies
  • Genetics top 0.5%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Plant Molecular Biology Research 23
    • Genetics and Plant Breeding 20
    • Plant-Microbe Interactions and Immunity 14
    • Chromosomal and Genetic Variations 14
    • Plant nutrient uptake and metabolism 11
    • Gene expression and cancer classification 35

Dan Nettleton

198 papers receiving 9.7k citations

Peers

Dan Nettleton
Comparison fields: 5 of 184
  • Plant Science 5.8k
  • Genetics 2.0k
  • Aging 114
  • Molecular Biology 3.9k
  • Endocrinology 165
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Citations per field
00.5×3.3×
R. W. Doerge · 1×
Citations per year

Countries citing papers authored by Dan Nettleton

Since Specialization
Citations

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

Fields of papers citing papers by Dan Nettleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Nettleton, 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 Dan Nettleton Line = papers co-authored together Dan Nettleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009382
2 2002374
3 2006310
4 2012295
5 2006229
6 2012213
7 2007212
8 2012209
9 2008204
10 2004183
11 2005180
12 2001175
13 2007165
14 2009162
15 2013154
16 2003153
17 2005149
18 2013148
19 2004139
20 2012129

About Dan Nettleton

Dan Nettleton is a scholar working on Plant Science, Molecular Biology, Genetics, Statistics and Probability and Animal Science and Zoology, having authored 202 papers that have together received 9.9k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (52 papers), Gene expression and cancer classification (35 papers), Genetic and phenotypic traits in livestock (30 papers), Plant Molecular Biology Research (23 papers), Genetics and Plant Breeding (20 papers), Plant-Microbe Interactions and Immunity (14 papers), Chromosomal and Genetic Variations (14 papers) and Plant nutrient uptake and metabolism (11 papers). The work is most often cited by research in Plant Science (5.8k citations), Genetics (2.0k citations), Aging (114 citations), Molecular Biology (3.9k citations) and Endocrinology (165 citations). Dan Nettleton has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Patrick S. Schnable, Thomas J. Baum, Cheng‐Ting Yeh, Justin Recknor, Roger P. Wise, Jack C. M. Dekkers, Tom Maier, Yi Jia, Rico A. Caldo and Lisa A. Borsuk. Their work appears in journals such as PLANT PHYSIOLOGY, BMC Genomics, Biometrics, The Plant Journal and Journal of Agricultural Biological and Environmental Statistics.

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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