Jane Fearnside

1.7k total citations · 1 hit paper
13 papers, 1.4k citations indexed

About

Jane Fearnside is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jane Fearnside has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jane Fearnside's work include Metabolomics and Mass Spectrometry Studies (5 papers), Adrenal Hormones and Disorders (3 papers) and Diet and metabolism studies (3 papers). Jane Fearnside is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Adrenal Hormones and Disorders (3 papers) and Diet and metabolism studies (3 papers). Jane Fearnside collaborates with scholars based in United Kingdom, France and Australia. Jane Fearnside's co-authors include Dominique Gauguier, Jeremy K. Nicholson, Marc‐Emmanuel Dumas, Christine Blancher, Richard H. Barton, Alice Rothwell, Ayo A. Toye, Olivier Cloarec, Roger Tatoud and Elaine Holmes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Jane Fearnside

13 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice

2006 847 citations Marc‐Emmanuel Dumas, Richard H. Barton et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jane Fearnside United Kingdom	11	996	570	375	216	142	13	1.4k
Ayo A. Toye United Kingdom	9	1.0k 1.1×	586 1.0×	425 1.1×	201 0.9×	238 1.7×	15	1.6k
Xianfeng Zeng United States	14	926 0.9×	542 1.0×	363 1.0×	279 1.3×	73 0.5×	15	1.6k
Nicole de Wit Netherlands	19	817 0.8×	464 0.8×	256 0.7×	170 0.8×	168 1.2×	41	1.4k
Aycha Bleeker Netherlands	8	763 0.8×	684 1.2×	260 0.7×	192 0.9×	94 0.7×	14	1.2k
Christelle Vachoux France	10	565 0.6×	426 0.7×	185 0.5×	138 0.6×	98 0.7×	12	962
Da Zhou China	17	1.1k 1.1×	568 1.0×	756 2.0×	267 1.2×	130 0.9×	30	1.7k
Monika Cahová Czechia	20	585 0.6×	406 0.7×	388 1.0×	168 0.8×	231 1.6×	62	1.4k
Hye Jin Yoo South Korea	21	609 0.6×	312 0.5×	284 0.8×	164 0.8×	94 0.7×	74	1.4k
Chuanhai Zhang China	19	545 0.5×	569 1.0×	312 0.8×	99 0.5×	87 0.6×	43	1.4k
Lotta K. Stenman Finland	13	708 0.7×	422 0.7×	129 0.3×	88 0.4×	132 0.9×	17	993

Countries citing papers authored by Jane Fearnside

Since Specialization

Citations

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

Fields of papers citing papers by Jane Fearnside

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Fearnside

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

All Works

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13 of 13 papers shown

Debono, Miguel, Charlotte Elder, Jane Fearnside, et al.. (2023). Real world evidence supports waking salivary cortisone as a screening test for adrenal insufficiency. Clinical Endocrinology. 99(6). 517–524. 10 indexed citations

Debono, Miguel, Charlotte Elder, Jane Fearnside, et al.. (2023). Home Waking Salivary Cortisone to Screen for Adrenal Insufficiency. NEJM Evidence. 2(2). EVIDoa2200182–EVIDoa2200182. 38 indexed citations

Debono, Miguel, Charlotte Elder, Jane Fearnside, et al.. (2022). Waking salivary cortisone as screening test for adrenal insufficiency. Endocrine Abstracts. 1 indexed citations

Brial, François, Lyamine Hedjazi, Jane Fearnside, et al.. (2019). Systems Genetics of Hepatic Metabolome Reveals Octopamine as a Target for Non-Alcoholic Fatty Liver Disease Treatment. Scientific Reports. 9(1). 3656–3656. 10 indexed citations

Dumas, Marc‐Emmanuel, Alice Rothwell, Lesley Hoyles, et al.. (2017). Microbial-Host Co-metabolites Are Prodromal Markers Predicting Phenotypic Heterogeneity in Behavior, Obesity, and Impaired Glucose Tolerance. Cell Reports. 20(1). 136–148. 75 indexed citations

Dumas, Marc‐Emmanuel, Lesley Hoyles, Julien Chilloux, et al.. (2014). Integrated Physiology/Obesity. Diabetes. 63(Supplement_1). A450–A534. 1 indexed citations

Waller‐Evans, Helen, Christophe Hue, Jane Fearnside, et al.. (2013). Nutrigenomics of High Fat Diet Induced Obesity in Mice Suggests Relationships between Susceptibility to Fatty Liver Disease and the Proteasome. PLoS ONE. 8(12). e82825–e82825. 38 indexed citations

Pontoizeau, Clément, Jane Fearnside, Vincent Navratil, et al.. (2011). Broad-Ranging Natural Metabotype Variation Drives Physiological Plasticity in Healthy Control Inbred Rat Strains. Journal of Proteome Research. 10(4). 1675–1689. 14 indexed citations

Collins, Stephan C., Michael B. Hoppa, Jonathan N. Walker, et al.. (2010). Progression of Diet-Induced Diabetes in C57BL6J Mice Involves Functional Dissociation of Ca2+ Channels From Secretory Vesicles. Diabetes. 59(5). 1192–1201. 57 indexed citations

10.

Fearnside, Jane, Marc‐Emmanuel Dumas, Alice Rothwell, et al.. (2008). Phylometabonomic Patterns of Adaptation to High Fat Diet Feeding in Inbred Mice. PLoS ONE. 3(2). e1668–e1668. 81 indexed citations

11.

Dumas, Marc‐Emmanuel, Steven P. Wilder, Marie‐Thérèse Bihoreau, et al.. (2007). Direct quantitative trait locus mapping of mammalian metabolic phenotypes in diabetic and normoglycemic rat models. Nature Genetics. 39(5). 666–672. 116 indexed citations

12.

Toye, Ayo A., Marc‐Emmanuel Dumas, Christine Blancher, et al.. (2007). Subtle metabolic and liver gene transcriptional changes underlie diet-induced fatty liver susceptibility in insulin-resistant mice. Diabetologia. 50(9). 1867–1879. 93 indexed citations

13.

Dumas, Marc‐Emmanuel, Richard H. Barton, Ayo A. Toye, et al.. (2006). Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice. Proceedings of the National Academy of Sciences. 103(33). 12511–12516. 847 indexed citations breakdown →

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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