Dean Podlich

3.1k total citations
24 papers, 1.9k citations indexed

About

Dean Podlich is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Dean Podlich has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 19 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in Dean Podlich's work include Genetic Mapping and Diversity in Plants and Animals (21 papers), Genetics and Plant Breeding (15 papers) and Genetic and phenotypic traits in livestock (6 papers). Dean Podlich is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (21 papers), Genetics and Plant Breeding (15 papers) and Genetic and phenotypic traits in livestock (6 papers). Dean Podlich collaborates with scholars based in United States, Australia and Netherlands. Dean Podlich's co-authors include Mark Cooper, Graeme Hammer, Scott Chapman, Carlos D. Messina, Fred A. van Eeuwijk, Deanne Wright, O. S. Smith, Stephen M. Welch, Bruce Walsh and François Tardieu and has published in prestigious journals such as Bioinformatics, PLANT PHYSIOLOGY and Genetics.

In The Last Decade

Dean Podlich

23 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dean Podlich United States 19 1.7k 1.0k 491 237 137 24 1.9k
Yann Manès Mexico 11 1.5k 0.9× 794 0.8× 438 0.9× 80 0.3× 116 0.8× 19 1.6k
R. G. Henzell Australia 20 1.2k 0.7× 649 0.6× 686 1.4× 80 0.3× 155 1.1× 37 1.4k
Francis C. Ogbonnaya Australia 33 3.0k 1.8× 900 0.9× 556 1.1× 112 0.5× 333 2.4× 82 3.2k
Carla Gho United States 12 951 0.6× 374 0.4× 447 0.9× 194 0.8× 95 0.7× 17 1.1k
Frank Technow Germany 20 2.0k 1.2× 1.6k 1.6× 310 0.6× 96 0.4× 234 1.7× 39 2.3k
Colleen Hunt Australia 23 1.2k 0.7× 751 0.7× 542 1.1× 48 0.2× 99 0.7× 47 1.5k
J. Bolaños Mexico 14 1.7k 1.0× 594 0.6× 1.1k 2.3× 93 0.4× 64 0.5× 28 1.9k
Mark Sawkins Mexico 16 1.4k 0.8× 761 0.8× 275 0.6× 171 0.7× 321 2.3× 21 1.6k
Gérard Doussinault France 20 1.3k 0.8× 262 0.3× 500 1.0× 121 0.5× 140 1.0× 51 1.5k
Shuanghe Cao China 24 2.1k 1.3× 805 0.8× 506 1.0× 67 0.3× 500 3.6× 71 2.3k

Countries citing papers authored by Dean Podlich

Since Specialization
Citations

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

Fields of papers citing papers by Dean Podlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Podlich

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Podlich. A scholar is included among the top collaborators of Dean Podlich 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 Dean Podlich. Dean Podlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Technow, Frank, Dean Podlich, & Mark Cooper. (2021). Back to the future: implications of genetic complexity for the structure of hybrid breeding programs. G3 Genes Genomes Genetics. 11(7). 18 indexed citations
3.
Diepenbrock, Christine, Tom Tang, Frank Technow, et al.. (2021). Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?. PLANT PHYSIOLOGY. 188(2). 1141–1157. 33 indexed citations
4.
Cooper, Mark, Carlos D. Messina, Dean Podlich, et al.. (2014). Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction. Crop and Pasture Science. 65(4). 311–336. 247 indexed citations
5.
Messina, Carlos D., et al.. (2010). Yield–trait performance landscapes: from theory to application in breeding maize for drought tolerance. Journal of Experimental Botany. 62(3). 855–868. 161 indexed citations
6.
Cooper, Mark, Fred A. van Eeuwijk, Graeme Hammer, Dean Podlich, & Carlos D. Messina. (2009). Modeling QTL for complex traits: detection and context for plant breeding. Current Opinion in Plant Biology. 12(2). 231–240. 125 indexed citations
7.
Eeuwijk, Fred A. van, Martin P. Boer, Liviu R. Totir, et al.. (2009). Mixed model approaches for the identification of QTLs within a maize hybrid breeding program. Theoretical and Applied Genetics. 120(2). 429–440. 29 indexed citations
8.
9.
Hammer, Graeme, Mark Cooper, François Tardieu, et al.. (2006). Models for navigating biological complexity in breeding improved crop plants. Trends in Plant Science. 11(12). 587–593. 270 indexed citations
10.
Hammer, Graeme, Scott Chapman, Erik van Oosterom, & Dean Podlich. (2005). Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems. Australian Journal of Agricultural Research. 56(9). 947–960. 111 indexed citations
11.
Cooper, Mark, Dean Podlich, & O. S. Smith. (2005). Gene-to-phenotype models and complex trait genetics. Australian Journal of Agricultural Research. 56(9). 895–918. 75 indexed citations
12.
Cooper, Mark, Dean Podlich, & O. S. Smith. (2004). Complex Trait Genetics and Gene-to-Phenotype Models. 1 indexed citations
13.
Podlich, Dean, et al.. (2004). Mapping As You Go. Crop Science. 44(5). 1560–1571. 103 indexed citations
14.
Wang, Jiankang, Richard Trethowan, Guoyou Ye, et al.. (2004). Simulating the Effects of Dominance and Epistasis on Selection Response in the CIMMYT Wheat Breeding Program Using QuCim. Crop Science. 44(6). 2006–2018. 47 indexed citations
15.
Peccoud, Jean, et al.. (2004). The Selective Values of Alleles in a Molecular Network Model Are Context Dependent. Genetics. 166(4). 1715–1725. 9 indexed citations
16.
Hammer, Graeme, Scott Chapman, Erik van Oosterom, & Dean Podlich. (2004). Trait physiology and crop modelling to link phenotypic complexity to underlying genetic systems.. Queensland's institutional digital repository (The University of Queensland). 1–15. 3 indexed citations
17.
Chapman, Scott, Mark Cooper, Dean Podlich, & Graeme Hammer. (2003). Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects. Agronomy Journal. 95(1). 99–113. 138 indexed citations
18.
Wang, Jiankang, M. van Ginkel, Dean Podlich, et al.. (2003). Comparison of Two Breeding Strategies by Computer Simulation. Crop Science. 43(5). 1764–1773. 69 indexed citations
19.
Chapman, Scott, Mark Cooper, Dean Podlich, & Graeme Hammer. (2003). Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects. Agronomy Journal. 95(1). 99–99. 94 indexed citations
20.
Cooper, Mark, et al.. (2003). On the Determination of Recombination Rates in Intermated Recombinant Inbred Populations. Genetics. 164(2). 741–745. 47 indexed citations

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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