P. Hearnden

10 total papers · 642 total citations
6 papers, 206 citations indexed

About

P. Hearnden is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, P. Hearnden has authored 6 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Genetics and 2 papers in Agronomy and Crop Science. Recurrent topics in P. Hearnden's work include Wheat and Barley Genetics and Pathology (4 papers), Genetics and Plant Breeding (3 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). P. Hearnden is often cited by papers focused on Wheat and Barley Genetics and Pathology (4 papers), Genetics and Plant Breeding (3 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). P. Hearnden collaborates with scholars based in Australia, Mexico and Syria. P. Hearnden's co-authors include Francis C. Ogbonnaya, R. F. Eastwood, K. J. Chalmers, J. Eglinton, Paul Eckermann, G. McMichael, Matthew Hayden, Muhammad Imtiaz, M. van Ginkel and Eduardo Osorio-Hernández and has published in prestigious journals such as Theoretical and Applied Genetics, Euphytica and Australian Journal of Forensic Sciences.

In The Last Decade

P. Hearnden

5 papers receiving 191 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P. Hearnden	195	63	45	27	6	6	206
Claudia Bedoya	208 1.1×	157 2.5×	33 0.7×	28 1.0×	9 1.5×	5	247
José Fernandes Barbosa-Neto	191 1.0×	82 1.3×	21 0.5×	18 0.7×	9 1.5×	9	206
Daxing Xu	217 1.1×	99 1.6×	31 0.7×	66 2.4×	4 0.7×	7	255
Joanne Russell	207 1.1×	111 1.8×	46 1.0×	31 1.1×	3 0.5×	5	236
Olufunmilayo Ladejobi	143 0.7×	111 1.8×	23 0.5×	14 0.5×	3 0.5×	7	161
Xuebo Zhao	213 1.1×	101 1.6×	29 0.6×	77 2.9×	3 0.5×	6	260
Lipeng Kang	206 1.1×	97 1.5×	29 0.6×	64 2.4×	3 0.5×	7	256
Jessica Schmidt	223 1.1×	48 0.8×	85 1.9×	19 0.7×	5 0.8×	6	243
Magen S. Eller	187 1.0×	105 1.7×	35 0.8×	17 0.6×	2 0.3×	8	215
Liumei Jian	137 0.7×	82 1.3×	30 0.7×	37 1.4×	2 0.3×	7	156

Countries citing papers authored by P. Hearnden

Since Specialization

Citations

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

Fields of papers citing papers by P. Hearnden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Hearnden

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

All Works

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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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