Tanya Monaghan

2.5k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Tanya Monaghan is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Tanya Monaghan has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 20 papers in Molecular Biology and 18 papers in Epidemiology. Recurrent topics in Tanya Monaghan's work include Clostridium difficile and Clostridium perfringens research (35 papers), Gut microbiota and health (19 papers) and Microscopic Colitis (13 papers). Tanya Monaghan is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (35 papers), Gut microbiota and health (19 papers) and Microscopic Colitis (13 papers). Tanya Monaghan collaborates with scholars based in United Kingdom, Canada and United States. Tanya Monaghan's co-authors include Mark H. Wilcox, Jessica Martin, Dina Kao, Saravana Babu Chidambaram, Arehally M. Mahalakshmi, YR Mahida, Bipul Ray, Musthafa Mohamed Essa, Abbas Yadegar and Timothy Boswell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Tanya Monaghan

57 papers receiving 1.6k citations

Hit Papers

Fecal microbiota transplantation: current challenges and ... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanya Monaghan United Kingdom 20 733 658 456 230 200 61 1.6k
Rogier E. Ooijevaar Netherlands 12 754 1.0× 579 0.9× 421 0.9× 201 0.9× 138 0.7× 18 1.2k
Fuyuan Wang United States 19 335 0.5× 844 1.3× 350 0.8× 262 1.1× 312 1.6× 32 1.7k
Sajad Karampoor Iran 26 514 0.7× 1.3k 2.1× 303 0.7× 164 0.7× 266 1.3× 72 2.5k
Jacqueline M. Lankelma Netherlands 14 498 0.7× 939 1.4× 282 0.6× 120 0.5× 181 0.9× 23 1.5k
Piotr Nowak Sweden 25 694 0.9× 746 1.1× 433 0.9× 115 0.5× 129 0.6× 79 2.1k
Gregory L. Austin United States 22 376 0.5× 576 0.9× 333 0.7× 621 2.7× 449 2.2× 55 2.3k
Ludmila Khailová United States 20 290 0.4× 916 1.4× 238 0.5× 279 1.2× 134 0.7× 44 1.9k
Mengque Xu China 17 454 0.6× 1.3k 2.0× 278 0.6× 322 1.4× 323 1.6× 36 2.0k
Jordi M. Lanis United States 16 629 0.9× 1.8k 2.8× 338 0.7× 302 1.3× 633 3.2× 25 2.7k
Daniela Carlos Brazil 25 276 0.4× 777 1.2× 371 0.8× 250 1.1× 292 1.5× 64 1.9k

Countries citing papers authored by Tanya Monaghan

Since Specialization
Citations

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

Fields of papers citing papers by Tanya Monaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Monaghan

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

All Works

20 of 20 papers shown
1.
Datta, Néha, et al.. (2024). Case Series: Efficacy of Polyclonal Intravenous Immunoglobulin for Refractory Clostridioides difficile Infection. Antibodies. 13(2). 26–26. 2 indexed citations
2.
Yadegar, Abbas, Haggai Bar‐Yoseph, Tanya Monaghan, et al.. (2024). Fecal microbiota transplantation: current challenges and future landscapes. Clinical Microbiology Reviews. 37(2). e0006022–e0006022. 134 indexed citations breakdown →
3.
Hediyal, Tousif Ahmed, Mahendran Bhaskaran, Seithikurippu R. Pandi‐Perumal, et al.. (2023). Sleep apnoea, gut dysbiosis and cognitive dysfunction. FEBS Journal. 291(12). 2519–2544. 15 indexed citations
5.
Sunanda, Tuladhar, Bipul Ray, Vasavi Rakesh Gorantla, et al.. (2022). Role of Endogenous Lipopolysaccharides in Neurological Disorders. Cells. 11(24). 4038–4038. 87 indexed citations
6.
Chidambaram, Saravana Babu, Arehally M. Mahalakshmi, Tousif Ahmed Hediyal, et al.. (2022). The Influence of Gut Dysbiosis in the Pathogenesis and Management of Ischemic Stroke. Cells. 11(7). 1239–1239. 99 indexed citations
7.
Monaghan, Tanya, et al.. (2022). Clostridioides difficile epidemiology in India. Anaerobe. 74. 102517–102517. 11 indexed citations
8.
Briggs, Steve, et al.. (2021). Impact of COVID-19 pandemic on prevalence of Clostridioides difficile infection in a UK tertiary centre. Anaerobe. 73. 102479–102479. 6 indexed citations
10.
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
11.
Huus, Kelsey E., Marcin Frankowski, Maja Pučić‐Baković, et al.. (2020). Changes in IgA-targeted microbiota following fecal transplantation for recurrent Clostridioides difficile infection. Gut Microbes. 13(1). 1–12. 13 indexed citations
12.
Monaghan, Tanya, Benjamin H. Mullish, Jordan Patterson, et al.. (2018). Effective fecal microbiota transplantation for recurrent Clostridioides difficile infection in humans is associated with increased signalling in the bile acid-farnesoid X receptor-fibroblast growth factor pathway. Nottingham ePrints (University of Nottingham). 8 indexed citations
13.
Negm, Ola H., Mohamed Hamed, & Tanya Monaghan. (2018). A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following <em>Clostridium difficile</em> Infection. Journal of Visualized Experiments. 3 indexed citations
14.
15.
Chilton, C. H., G. S. Crowther, Klaudyna Śpiewak, et al.. (2016). Potential of lactoferrin to prevent antibiotic-inducedClostridium difficileinfection. Journal of Antimicrobial Chemotherapy. 71(4). 975–985. 24 indexed citations
16.
Gulati, Nicholas, Katie Solomon, Tanya Monaghan, et al.. (2011). Differential Binding and Internalization of Clostridium difficile Toxin A by Human Peripheral Blood Monocytes, Neutrophils and Lymphocytes. Scandinavian Journal of Immunology. 74(3). 264–271. 19 indexed citations
17.
Monaghan, Tanya, James D. Thomas, & Tanvir Hussain. (2010). A bronchogenic cyst causing chest pain and dysphagia. QJM. 104(6). 539–541. 1 indexed citations
18.
Thomas, James D., et al.. (2009). Megaoesophagus: an unusual cause of stridor. QJM. 103(1). 53–54. 3 indexed citations
19.
Monaghan, Tanya, James D. Thomas, & William A. Goddard. (2009). A painful rash. BMJ. 339(jul15 2). b2293–b2293. 1 indexed citations
20.
Haughton, Emma Louise, Steven Tucker, Carylyn J. Marek, et al.. (2006). Pregnane X Receptor Activators Inhibit Human Hepatic Stellate Cell Transdifferentiation In Vitro. Gastroenterology. 131(1). 194–209. 78 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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