Philippa M. Wells

1.2k total citations
26 papers, 760 citations indexed

About

Philippa M. Wells is a scholar working on Molecular Biology, Physiology and Rheumatology. According to data from OpenAlex, Philippa M. Wells has authored 26 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Physiology and 4 papers in Rheumatology. Recurrent topics in Philippa M. Wells's work include Gut microbiota and health (17 papers), Diet and metabolism studies (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Philippa M. Wells is often cited by papers focused on Gut microbiota and health (17 papers), Diet and metabolism studies (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Philippa M. Wells collaborates with scholars based in United Kingdom, United States and Australia. Philippa M. Wells's co-authors include Claire J. Steves, Ruth C. E. Bowyer, Tim D. Spector, Frances M. K. Williams, Cristina Menni, Panayiotis Louca, Maxim B. Freidin, Ana M. Valdes, Ana Nogal and Xinyuan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Philippa M. Wells

26 papers receiving 751 citations

Peers

Philippa M. Wells

PHYSI

GENET

EPIDE

Aleksandra Rył Poland

Els Oosterink Netherlands

Menglei Shuai China

Fabian Frost Germany

Mark D. Farrar United Kingdom

Douglas J. Kenny United States

Ruoyi Wang China

Luz García‐Valdés Spain

Amogelang R. Raphenya Canada

Alissa Cait New Zealand

Aleksandra Rył Poland

Philippa M. Wells

373 ×0.8

145 ×0.7

PHYSI

58 ×0.7

GENET

84 ×1.0

EPIDE

78 ×0.9

Citations per year, relative to Philippa M. Wells Philippa M. Wells (= 1×) peers Aleksandra Rył

Countries citing papers authored by Philippa M. Wells

Since Specialization

Citations

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

Fields of papers citing papers by Philippa M. Wells

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippa M. Wells. 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 Philippa M. Wells. The network helps show where Philippa M. Wells may publish in the future.

Co-authorship network of co-authors of Philippa M. Wells

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

All Works

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20 of 20 papers shown

Shi, Ni, Cristina Menni, Mary C. Playdon, et al.. (2024). Pro-inflammatory and hyperinsulinaemic dietary patterns are associated with specific gut microbiome profiles: a TwinsUK cohort study. SHILAP Revista de lepidopterología. 5. e12–e12. 2 indexed citations

Danckert, Nathan, Maxim B. Freidin, Philippa M. Wells, et al.. (2024). Treatment response in rheumatoid arthritis is predicted by the microbiome: a large observational study in UK DMARD-naive patients. Lara D. Veeken. 63(12). 3486–3495. 5 indexed citations

Wells, Philippa M., Daniel D. Sprockett, Ruth C. E. Bowyer, et al.. (2022). Influential factors of saliva microbiota composition. Scientific Reports. 12(1). 18894–18894. 21 indexed citations

Stoll, Matthew L., Philippa M. Wells, Peter R. Sternes, et al.. (2022). The faecal microbiota is distinct in HLA-B27+ ankylosing spondylitis patients versus HLA-B27+ healthy controls. Clinical and Experimental Rheumatology. 41(5). 1096–1104. 10 indexed citations

Bowyer, Ruth C. E., Emma Coombes, Philippa M. Wells, et al.. (2021). Microbiota composition is moderately associated with greenspace composition in a UK cohort of twins. The Science of The Total Environment. 813. 152321–152321. 20 indexed citations

Nogal, Ana, Panayiotis Louca, Xinyuan Zhang, et al.. (2021). Circulating Levels of the Short-Chain Fatty Acid Acetate Mediate the Effect of the Gut Microbiome on Visceral Fat. Frontiers in Microbiology. 12. 711359–711359. 125 indexed citations

Danckert, Nathan, et al.. (2021). Evidence for infection in intervertebral disc degeneration: a systematic review. European Spine Journal. 31(2). 414–430. 12 indexed citations

Zouiouich, Sémi, Erikka Loftfield, Inge Huybrechts, et al.. (2021). Markers of metabolic health and gut microbiome diversity: findings from two population-based cohort studies. Diabetologia. 64(8). 1749–1759. 38 indexed citations

Ni, Yan, Gang Yu, Huan Chen, et al.. (2020). M2IA: a web server for microbiome and metabolome integrative analysis. Bioinformatics. 36(11). 3493–3498. 53 indexed citations

10.

Nag, Abhishek, Yuko Kurushima, Ruth C. E. Bowyer, et al.. (2020). Genome-wide scan identifies novel genetic loci regulating salivary metabolite levels. Human Molecular Genetics. 29(5). 864–875. 10 indexed citations

11.

Ackermann, Gail, et al.. (2020). 高齢女性における尿路マイクロバイオームは宿主の遺伝的および環境的影響を示す【JST・京大機械翻訳】. Cell Host & Microbe. 28(2). 298–305. 3 indexed citations

12.

Wells, Philippa M., Adewale Adebayo, Ruth C. E. Bowyer, et al.. (2020). Associations between gut microbiota and genetic risk for rheumatoid arthritis in the absence of disease: a cross-sectional study. The Lancet Rheumatology. 2(7). e418–e427. 124 indexed citations

13.

Adebayo, Adewale, Gail Ackermann, Ruth C. E. Bowyer, et al.. (2020). The Urinary Tract Microbiome in Older Women Exhibits Host Genetic and Environmental Influences. Cell Host & Microbe. 28(2). 298–305.e3. 37 indexed citations

14.

Freidin, Maxim B., Maria A. Stalteri, Philippa M. Wells, et al.. (2020). An association between chronic widespread pain and the gut microbiome. Lara D. Veeken. 60(8). 3727–3737. 65 indexed citations

15.

Bowyer, Ruth C. E., Daniel Schillereff, Matthew Jackson, et al.. (2020). Associations between UK tap water and gut microbiota composition suggest the gut microbiome as a potential mediator of health differences linked to water quality. The Science of The Total Environment. 739. 139697–139697. 15 indexed citations

16.

Fabre, Margarete A., Thomas McKerrell, Maximilian Zwiebel, et al.. (2019). Concordance for clonal hematopoiesis is limited in elderly twins. Blood. 135(4). 269–273. 28 indexed citations

17.

Roy, Caroline Le, Philippa M. Wells, Jiyeon Si, et al.. (2019). Red Wine Consumption Associated With Increased Gut Microbiota α-Diversity in 3 Independent Cohorts. Gastroenterology. 158(1). 270–272.e2. 57 indexed citations

18.

Wells, Philippa M., Frances M. K. Williams, María Luisa Matey-Hernandez, Cristina Menni, & Claire J. Steves. (2019). ‘RA and the microbiome: do host genetic factors provide the link?. Journal of Autoimmunity. 99. 104–115. 38 indexed citations

19.

Wells, Philippa M.. (2009). The Fall and Fall in the Legal Status of Mustelids in New Zealand. Environment and History. 15(3). 343–368. 6 indexed citations

20.

Hitchins, A. D., F.E. McDonough, Philippa M. Wells, & N.P. Wong. (1986). Relationship of dietary carbohydrate and lactic acid to the resistance of yogurt-fed male weanling rats to gastrointestinal salmonellosis. Nutrition reports international. 33(4). 641–649. 3 indexed citations

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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