Niamh Wiley

1.1k total citations · 1 hit paper
6 papers, 807 citations indexed

About

Niamh Wiley is a scholar working on Molecular Biology, Biological Psychiatry and Physiology. According to data from OpenAlex, Niamh Wiley has authored 6 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Biological Psychiatry and 2 papers in Physiology. Recurrent topics in Niamh Wiley's work include Gut microbiota and health (5 papers), Diet and metabolism studies (2 papers) and Tryptophan and brain disorders (2 papers). Niamh Wiley is often cited by papers focused on Gut microbiota and health (5 papers), Diet and metabolism studies (2 papers) and Tryptophan and brain disorders (2 papers). Niamh Wiley collaborates with scholars based in Ireland, United Kingdom and United States. Niamh Wiley's co-authors include Catherine Stanton, Timothy G. Dinan, John F. Cryan, Marcel van de Wouw, Conall Strain, Joshua M. Lyte, Órla O’Sullivan, Gerard Clarke, Marcus Boehme and Fiona Fouhy and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Journal of Animal Ecology.

In The Last Decade

Niamh Wiley

6 papers receiving 792 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.

Short‐chain fatty acids: microbial metabolites that alleviate stress‐induced brain–gut axis alterations

2018 571 citations Marcel van de Wouw, Marcus Boehme et al. The Journal of Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niamh Wiley Ireland	6	603	295	269	100	84	6	807
Christine Fülling Ireland	9	640 1.1×	358 1.2×	292 1.1×	121 1.2×	57 0.7×	10	993
Grégoire Chevalier France	9	506 0.8×	247 0.8×	309 1.1×	79 0.8×	124 1.5×	15	908
Caroline Wallace Canada	8	455 0.8×	231 0.8×	321 1.2×	93 0.9×	74 0.9×	11	738
Bernhard Wagner Austria	7	444 0.7×	253 0.9×	244 0.9×	72 0.7×	73 0.9×	8	807
Sofia Cussotto Ireland	10	610 1.0×	328 1.1×	405 1.5×	119 1.2×	90 1.1×	16	916
Ryo Nishino Japan	7	580 1.0×	241 0.8×	239 0.9×	159 1.6×	52 0.6×	12	810
Raphaela Mayerhofer Austria	11	576 1.0×	332 1.1×	347 1.3×	122 1.2×	153 1.8×	12	994
Emiko Aizawa Japan	7	449 0.7×	241 0.8×	360 1.3×	161 1.6×	78 0.9×	9	785
Mathilde Jaglin France	4	505 0.8×	207 0.7×	292 1.1×	90 0.9×	89 1.1×	4	668
Viktoriya L. Nikolova United Kingdom	12	497 0.8×	234 0.8×	377 1.4×	78 0.8×	89 1.1×	18	943

Countries citing papers authored by Niamh Wiley

Since Specialization

Citations

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

Fields of papers citing papers by Niamh Wiley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niamh Wiley

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

All Works

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6 of 6 papers shown

1.

Davidson, Gabrielle L., Niamh Wiley, Crystal N. Johnson, et al.. (2021). A time‐lagged association between the gut microbiome, nestling weight and nestling survival in wild great tits. Journal of Animal Ecology. 90(4). 989–1003. 31 indexed citations

2.

Wiley, Niamh, John F. Cryan, Timothy G. Dinan, R. Paul Ross, & Catherine Stanton. (2021). Production of Psychoactive Metabolites by Gut Bacteria. PubMed. 32. 74–99. 21 indexed citations

3.

Davidson, Gabrielle L., Niamh Wiley, Amy C. Cooke, et al.. (2020). Diet induces parallel changes to the gut microbiota and problem solving performance in a wild bird. Scientific Reports. 10(1). 62 indexed citations

4.

Bastiaanssen, Thomaz F. S., Anand Gururajan, Marcel van de Wouw, et al.. (2020). Volatility as a Concept to Understand the Impact of Stress on the Microbiome. Psychoneuroendocrinology. 124. 105047–105047. 62 indexed citations

5.

Berding, Kirsten, Caitríona M. Long-Smith, Carina Carbia, et al.. (2020). A specific dietary fibre supplementation improves cognitive performance—an exploratory randomised, placebo-controlled, crossover study. Psychopharmacology. 238(1). 149–163. 60 indexed citations

6.

Wouw, Marcel van de, Marcus Boehme, Joshua M. Lyte, et al.. (2018). Short‐chain fatty acids: microbial metabolites that alleviate stress‐induced brain–gut axis alterations. The Journal of Physiology. 596(20). 4923–4944. 571 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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