Perdita J Hope

16 total papers · 612 total citations
14 papers, 493 citations indexed

About

Perdita J Hope is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Social Psychology. According to data from OpenAlex, Perdita J Hope has authored 14 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Endocrine and Autonomic Systems and 4 papers in Social Psychology. Recurrent topics in Perdita J Hope's work include Regulation of Appetite and Obesity (6 papers), Neurobiology and Insect Physiology Research (5 papers) and Insect Utilization and Effects (4 papers). Perdita J Hope is often cited by papers focused on Regulation of Appetite and Obesity (6 papers), Neurobiology and Insect Physiology Research (5 papers) and Insect Utilization and Effects (4 papers). Perdita J Hope collaborates with scholars based in Australia and United States. Perdita J Hope's co-authors include Gary Wittert, John E. Morley, Michael Horowitz, Jessica Wohlgemuth, George Hatzinikolas, Ravinder Anand‐Ivell, Matthew T. Haren, Richard Ivell, Ian Chapman and Helen Turnbull and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Perdita J Hope

14 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Perdita J Hope	150	120	118	84	79	14	493
Stephen C. Pryor	218 1.5×	135 1.1×	88 0.7×	82 1.0×	33 0.4×	26	514
Julianna E. Szilagyi	113 0.8×	89 0.7×	92 0.8×	48 0.6×	73 0.9×	26	435
Patricia Jumbo‐Lucioni	80 0.5×	205 1.7×	158 1.3×	25 0.3×	32 0.4×	24	539
Olivia C. McKenna	200 1.3×	226 1.9×	52 0.4×	55 0.7×	14 0.2×	20	535
F. Gómez	50 0.3×	53 0.4×	124 1.1×	24 0.3×	30 0.4×	25	470
Paulus S. Wang	44 0.3×	90 0.8×	95 0.8×	66 0.8×	21 0.3×	27	468
Mary D. Coyne	75 0.5×	102 0.8×	112 0.9×	64 0.8×	16 0.2×	24	524
Jennifer R. Rainville	57 0.4×	81 0.7×	46 0.4×	40 0.5×	36 0.5×	17	441
Totada R. Shantha	87 0.6×	71 0.6×	65 0.6×	38 0.5×	13 0.2×	22	453
Regina Schuel	55 0.4×	95 0.8×	35 0.3×	18 0.2×	22 0.3×	18	451

Countries citing papers authored by Perdita J Hope

Since Specialization

Citations

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

Fields of papers citing papers by Perdita J Hope

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Perdita J Hope. 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 Perdita J Hope. The network helps show where Perdita J Hope may publish in the future.

Co-authorship network of co-authors of Perdita J Hope

This figure shows the co-authorship network connecting the top 25 collaborators of Perdita J Hope. A scholar is included among the top collaborators of Perdita J Hope 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 Perdita J Hope. Perdita J Hope 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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