Grace F. Barker

888 total citations
10 papers, 603 citations indexed

About

Grace F. Barker is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Grace F. Barker has authored 10 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Grace F. Barker's work include Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Gastrointestinal motility and disorders (3 papers). Grace F. Barker is often cited by papers focused on Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Gastrointestinal motility and disorders (3 papers). Grace F. Barker collaborates with scholars based in United Kingdom, United States and Australia. Grace F. Barker's co-authors include Julian R. Marchesi, Julie A. K. McDonald, Benjamin H. Mullish, Mark Thursz, Elaine Holmes, Jesús Miguéns Blanco, Dina Kao, Horace R. Williams, Jessica R. Allegretti and Jonathan Hurtado and has published in prestigious journals such as Gastroenterology, Gut and The American Journal of Gastroenterology.

In The Last Decade

Grace F. Barker

8 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace F. Barker United Kingdom 6 442 238 167 135 125 10 603
María Jesús Villanueva-Millán Spain 14 334 0.8× 132 0.6× 155 0.9× 92 0.7× 88 0.7× 27 614
Jasmin Mahabamunuge United States 7 294 0.7× 248 1.0× 136 0.8× 116 0.9× 124 1.0× 16 467
Neha Alang United States 4 239 0.5× 203 0.9× 94 0.6× 99 0.7× 100 0.8× 7 435
Tkachenko Ei Russia 12 303 0.7× 156 0.7× 63 0.4× 61 0.5× 101 0.8× 58 546
Elena Poluektova Russia 15 268 0.6× 105 0.4× 96 0.6× 131 1.0× 166 1.3× 51 607
Wing Fei Wong United States 5 219 0.5× 134 0.6× 117 0.7× 78 0.6× 76 0.6× 10 355
Khairul Najmi Muhammad Nawawi Malaysia 10 350 0.8× 55 0.2× 174 1.0× 68 0.5× 181 1.4× 19 632
Eileen O’Herlihy Ireland 12 299 0.7× 69 0.3× 157 0.9× 126 0.9× 64 0.5× 21 599
Adil Hassan Egypt 15 349 0.8× 108 0.5× 123 0.7× 23 0.2× 137 1.1× 48 727
Louise Scovell United Kingdom 3 370 0.8× 88 0.4× 114 0.7× 100 0.7× 59 0.5× 4 468

Countries citing papers authored by Grace F. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Grace F. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace F. Barker. 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 Grace F. Barker. The network helps show where Grace F. Barker may publish in the future.

Co-authorship network of co-authors of Grace F. Barker

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

All Works

10 of 10 papers shown
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Li, Jia V., Hutan Ashrafian, Magali Sarafian, et al.. (2021). Roux-en-Y gastric bypass-induced bacterial perturbation contributes to altered host-bacterial co-metabolic phenotype. Microbiome. 9(1). 139–139. 34 indexed citations
4.
Martínez-Gili, Laura, Julie A. K. McDonald, Zhigang Liu, et al.. (2020). Understanding the mechanisms of efficacy of fecal microbiota transplant in treating recurrent Clostridioides difficile infection and beyond: the contribution of gut microbial-derived metabolites. Gut Microbes. 12(1). 1810531–1810531. 34 indexed citations
5.
Mullish, Benjamin H., Julie A. K. McDonald, Jessica R. Allegretti, et al.. (2019). Microbial bile salt hydrolases mediate the efficacy of faecal microbiota transplant in the treatment of recurrent Clostridioides difficile infection. Gut. 68(10). 1791–1800. 192 indexed citations
6.
Allegretti, Jessica R., Zain Kassam, Benjamin H. Mullish, et al.. (2019). Effects of Fecal Microbiota Transplantation With Oral Capsules in Obese Patients. Clinical Gastroenterology and Hepatology. 18(4). 855–863.e2. 232 indexed citations
7.
Allegretti, Jessica R., Jonathan Hurtado, Madeline Carrellas, et al.. (2019). 7 – The Icon Study: Inflammatory Bowel Disease and Recurrent Clostridium Difficile Infection: Outcomes After Fecal Microbiota Transplantation. Gastroenterology. 156(6). S–2. 3 indexed citations
8.
Allegretti, Jessica R., Zain Kassam, Austin Chiang, et al.. (2019). 621 – Fecal Microbiota Transplantation for the Treatment of Obesity: A Randomized, Placebo-Controlled Pilot Trial. Gastroenterology. 156(6). S–129.
9.
Allegretti, Jessica R., Benjamin H. Mullish, Jonathan Hurtado, et al.. (2019). 837 Short Chain Fatty Acid Profiles Are Altered by Fecal Microbiota Transplantation for the Treatment of Inflammatory Bowel Disease and Recurrent Clostridioides difficile Infection. The American Journal of Gastroenterology. 114(1). S484–S485. 1 indexed citations
10.
Mullish, Benjamin H., et al.. (2018). Functional microbiomics: Evaluation of gut microbiota-bile acid metabolism interactions in health and disease. Methods. 149. 49–58. 81 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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2026