PJ Nicholls

43 total papers · 533 total citations
32 papers, 393 citations indexed

About

PJ Nicholls is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, PJ Nicholls has authored 32 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 12 papers in Animal Science and Zoology and 11 papers in Genetics. Recurrent topics in PJ Nicholls's work include Genetic and phenotypic traits in livestock (11 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Animal Nutrition and Physiology (7 papers). PJ Nicholls is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Animal Nutrition and Physiology (7 papers). PJ Nicholls collaborates with scholars based in Australia, United States and Indonesia. PJ Nicholls's co-authors include R. A. Pym, J. M. Thompson, D. Perry, G. J. Eamens, David J. Farrell, Mary A. O’Connell, J. S. Bradley, A. K. Sheridan, P. L. Greenwood and JM Thompson and has published in prestigious journals such as Soil Biology and Biochemistry, Biochemical Pharmacology and Journal of Animal Science.

In The Last Decade

PJ Nicholls

29 papers receiving 346 citations

Author Peers

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

Author Last Decade Papers Cites
PJ Nicholls 222 139 78 74 50 32 393
Leandro Teixeira Barbosa 135 0.6× 115 0.8× 86 1.1× 68 0.9× 24 0.5× 48 357
Fernanda Cristina Breda 178 0.8× 214 1.5× 62 0.8× 118 1.6× 34 0.7× 39 381
Francisco Stéfano Wechsler 152 0.7× 165 1.2× 62 0.8× 212 2.9× 30 0.6× 62 387
Eric Haydt Castello Branco van Cleef 199 0.9× 136 1.0× 65 0.8× 280 3.8× 45 0.9× 51 430
Heraldo César Gonçalves 214 1.0× 149 1.1× 54 0.7× 157 2.1× 43 0.9× 51 380
Magali Floriano da Silveira 178 0.8× 149 1.1× 34 0.4× 250 3.4× 20 0.4× 42 362
Alexandre Amstalden Moraes Sampaio 191 0.9× 115 0.8× 44 0.6× 245 3.3× 32 0.6× 59 414
T. M. MacIntyre 197 0.9× 62 0.4× 55 0.7× 128 1.7× 71 1.4× 32 347
NseAbasi N. Etim 169 0.8× 55 0.4× 98 1.3× 61 0.8× 50 1.0× 22 428
Giovanni Buonaiuto 197 0.9× 108 0.8× 52 0.7× 169 2.3× 102 2.0× 31 403

Countries citing papers authored by PJ Nicholls

Since Specialization
Citations

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

Fields of papers citing papers by PJ Nicholls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of PJ Nicholls

This figure shows the co-authorship network connecting the top 25 collaborators of PJ Nicholls. A scholar is included among the top collaborators of PJ Nicholls 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 PJ Nicholls. PJ Nicholls 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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