Janette Tenne-Brown

10 total papers · 400 total citations
8 papers, 336 citations indexed

About

Janette Tenne-Brown is a scholar working on Nutrition and Dietetics, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Janette Tenne-Brown has authored 8 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Janette Tenne-Brown's work include Biochemical Analysis and Sensing Techniques (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Neuropeptides and Animal Physiology (1 paper). Janette Tenne-Brown is often cited by papers focused on Biochemical Analysis and Sensing Techniques (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Neuropeptides and Animal Physiology (1 paper). Janette Tenne-Brown collaborates with scholars based in Australia, France and United States. Janette Tenne-Brown's co-authors include Brian Key, Ken Walder, Guy Augert, Andrea de Silva, Lakshmi Kantham, Kelly Windmill, James L. Trevaskis, Paul Zimmet, Trey Sunderland and Janine McMillan and has published in prestigious journals such as The Journal of Comparative Neurology, Diabetes and Annals of the New York Academy of Sciences.

In The Last Decade

Janette Tenne-Brown

8 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Janette Tenne-Brown 159 95 52 50 48 8 336
Anya Medina 91 0.6× 147 1.5× 32 0.6× 50 1.0× 164 3.4× 11 395
Baofeng Xu 74 0.5× 132 1.4× 33 0.6× 40 0.8× 12 0.3× 8 370
Jayasheel Eshcol 51 0.3× 181 1.9× 30 0.6× 84 1.7× 34 0.7× 8 371
Erika Calvo‐Ochoa 41 0.3× 101 1.1× 80 1.5× 42 0.8× 27 0.6× 9 375
Vanessa García‐Rúa 74 0.5× 94 1.0× 19 0.4× 34 0.7× 36 0.8× 10 353
Maureen Lawler 59 0.4× 121 1.3× 59 1.1× 31 0.6× 22 0.5× 7 361
Ana Mosquera‐Leal 74 0.5× 88 0.9× 18 0.3× 25 0.5× 36 0.8× 9 338
Stefania Fardella 87 0.5× 102 1.1× 25 0.5× 16 0.3× 33 0.7× 11 395
Roberta Iacobucci 78 0.5× 109 1.1× 23 0.4× 12 0.2× 36 0.8× 8 377
Rebeca Caires 40 0.3× 140 1.5× 47 0.9× 64 1.3× 22 0.5× 9 321

Countries citing papers authored by Janette Tenne-Brown

Since Specialization
Citations

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

Fields of papers citing papers by Janette Tenne-Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janette Tenne-Brown. 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 Janette Tenne-Brown. The network helps show where Janette Tenne-Brown may publish in the future.

Co-authorship network of co-authors of Janette Tenne-Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Janette Tenne-Brown. A scholar is included among the top collaborators of Janette Tenne-Brown 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 Janette Tenne-Brown. Janette Tenne-Brown 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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