P. D. Cluster

1.2k citations
12 papers · 933 indexed · h-index 11
    • Plant Virus Research Studies 4
    • Chromosomal and Genetic Variations 3
    • Plant Pathogens and Resistance 3
    • Plant Disease Resistance and Genetics 3
    • Wheat and Barley Genetics and Pathology 2
    • Plant Gene Expression Analysis 3
    • CRISPR and Genetic Engineering 2
    • Molecular Biology Techniques and Applications 2

P. D. Cluster

12 papers receiving 868 citations

Peers

P. D. Cluster
Comparison fields: 5 of 63
  • Plant Science 656
  • Biotechnology 149
  • Molecular Biology 662
  • Horticulture 7
  • Endocrinology 35
Replace M. Metzlaff with:
M. Metzlaff Germany
Kristina Zumstein United States
Chuanzhu Fan United States
Linda Margossian United States
R.J. McNicol Czechia
Mily Ron United States
Tadeusz Wróblewski United States
H. Witsenboer Netherlands
Siddhartha Kanrar United States
Alberto Martínez United Kingdom
P. D. Cluster relative to M. Metzlaff Germany M. Metzlaff's profile →
Citations per field
00.5×1.5×
M. Metzlaff · 1×
Citations per year

Countries citing papers authored by P. D. Cluster

Since Specialization
Citations

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

Fields of papers citing papers by P. D. Cluster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside P. D. Cluster, 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 P. D. Cluster Line = papers co-authored together P. D. Cluster links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199922
2 1997236
3 199710
4 199629
5 199685
6 1996297
7 199618
8 19953
9 199523
10 199011
11 1988132
12 198767

About P. D. Cluster

P. D. Cluster is a scholar working on Plant Science, Molecular Biology and Genetics, having authored 12 papers that have together received 933 indexed citations. Recurring topics across this work include Plant Virus Research Studies (4 papers), Plant Gene Expression Analysis (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Pathogens and Resistance (3 papers), Plant Disease Resistance and Genetics (3 papers), CRISPR and Genetic Engineering (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Plant Science (656 citations), Biotechnology (149 citations) and Molecular Biology (662 citations). P. D. Cluster has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Richard A. Jorgensen, Michael R. O’Dell, R. B. Flavell, M. Metzlaff, James J. English, Qiudeng Que, Carolyn A. Napoli, R. W. Allard, Darko Marinković and Francisco J. Ayala. Their work appears in journals such as Theoretical and Applied Genetics, Plant Molecular Biology, Proceedings of the National Academy of Sciences, Genome 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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