D. Podlich

667 total citations
10 papers, 358 citations indexed

About

D. Podlich is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, D. Podlich has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 8 papers in Plant Science and 1 paper in Molecular Biology. Recurrent topics in D. Podlich's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (6 papers) and Rice Cultivation and Yield Improvement (2 papers). D. Podlich is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (6 papers) and Rice Cultivation and Yield Improvement (2 papers). D. Podlich collaborates with scholars based in Australia, United States and Mexico. D. Podlich's co-authors include Mark Cooper, K. E. Basford, H. H. Geiger, Tanveer Hussain, J. S. C. Smith, Elizabeth Jones, S. J. Wall, Margiad Williams, Jing Wang and I. H. DeLacy and has published in prestigious journals such as Bioinformatics, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

D. Podlich

9 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Podlich Australia 8 333 221 64 26 18 10 358
A. K. Sarial India 9 410 1.2× 180 0.8× 78 1.2× 37 1.4× 16 0.9× 23 429
Philippe P. Barre France 7 261 0.8× 92 0.4× 83 1.3× 41 1.6× 35 1.9× 7 302
Francis M. Kirigwi United States 5 324 1.0× 133 0.6× 109 1.7× 21 0.8× 20 1.1× 6 346
Sara J. Larsson United States 5 252 0.8× 193 0.9× 42 0.7× 57 2.2× 6 0.3× 7 304
T. S. Pittaway United Kingdom 8 405 1.2× 233 1.1× 37 0.6× 70 2.7× 27 1.5× 9 428
A. Demontis Italy 5 353 1.1× 194 0.9× 66 1.0× 40 1.5× 8 0.4× 9 361
M. T. Sta Cruz Philippines 8 599 1.8× 315 1.4× 35 0.5× 20 0.8× 17 0.9× 9 623
Florian Schnaithmann Germany 6 318 1.0× 195 0.9× 53 0.8× 34 1.3× 12 0.7× 6 334
M. C. Sanguineti Italy 10 390 1.2× 161 0.7× 131 2.0× 50 1.9× 7 0.4× 16 408
Esther Walker Australia 11 371 1.1× 157 0.7× 51 0.8× 36 1.4× 17 0.9× 17 400

Countries citing papers authored by D. Podlich

Since Specialization
Citations

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

Fields of papers citing papers by D. Podlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Podlich

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

All Works

10 of 10 papers shown
2.
Smith, J. S. C., Tanveer Hussain, Elizabeth Jones, et al.. (2008). Use of doubled haploids in maize breeding: implications for intellectual property protection and genetic diversity in hybrid crops. Molecular Breeding. 22(1). 51–59. 64 indexed citations
3.
Eagles, H. A., G. J. Hollamby, R. F. Eastwood, & D. Podlich. (2001). Use of markers for monogenically and polygenically inherited traits. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1. 35–37. 2 indexed citations
4.
Wang, Jing, D. Podlich, Mark Cooper, & I. H. DeLacy. (2001). Power of the joint segregation analysis method for testing mixed major-gene and polygene inheritance models of quantitative traits. Theoretical and Applied Genetics. 103(5). 804–816. 26 indexed citations
5.
Cooper, Mark, et al.. (1999). Rainfed lowland rice breeding strategies for Northeast Thailand II. Comparison of intrastation and interstation selection. Field Crops Research. 64(1-2). 153–176. 29 indexed citations
6.
Cooper, Mark, et al.. (1999). Modelling plant breeding programs. Queensland's institutional digital repository (The University of Queensland). 2. 33–64. 10 indexed citations
7.
Podlich, D., et al.. (1999). Breeding field crops for farming systems: a case for modelling breeding programs. Queensland's institutional digital repository (The University of Queensland). 1. 20–25. 1 indexed citations
8.
Podlich, D., Mark Cooper, K. E. Basford, & H. H. Geiger. (1999). Computer simulation of a selection strategy to accommodate genotype environment interactions in a wheat recurrent selection programme. Plant Breeding. 118(1). 17–28. 52 indexed citations
9.
Cooper, Mark, D. Podlich, & S. Fukai. (1999). Combining information from multi-environment trials and molecular markers to select adaptive traits for yield improvement of rice in water-limited environments. Queensland's institutional digital repository (The University of Queensland). 13–33. 10 indexed citations
10.
Podlich, D. & Mark Cooper. (1998). QU-GENE: a simulation platform for quantitative analysis of genetic models.. Bioinformatics. 14(7). 632–653. 127 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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