Shankumar Mooyottu

708 total citations
33 papers, 483 citations indexed

About

Shankumar Mooyottu is a scholar working on Infectious Diseases, Food Science and Molecular Biology. According to data from OpenAlex, Shankumar Mooyottu has authored 33 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 11 papers in Food Science and 9 papers in Molecular Biology. Recurrent topics in Shankumar Mooyottu's work include Clostridium difficile and Clostridium perfringens research (15 papers), Gut microbiota and health (8 papers) and Listeria monocytogenes in Food Safety (6 papers). Shankumar Mooyottu is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (15 papers), Gut microbiota and health (8 papers) and Listeria monocytogenes in Food Safety (6 papers). Shankumar Mooyottu collaborates with scholars based in United States, Netherlands and United Kingdom. Shankumar Mooyottu's co-authors include Kumar Venkitanarayanan, Abhinav Upadhyay, Indu Upadhyaya, Anup Kollanoor Johny, Sangeetha Ananda Baskaran, Hsin‐Bai Yin, M.J. Darre, Laurent Bouillaut, Abraham L. Sonenshein and David Schreiber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Applied and Environmental Microbiology.

In The Last Decade

Shankumar Mooyottu

30 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shankumar Mooyottu United States 14 235 124 104 104 91 33 483
Yuko Shimamura Japan 16 281 1.2× 106 0.9× 215 2.1× 83 0.8× 107 1.2× 55 661
Xuelian Luo China 13 215 0.9× 100 0.8× 325 3.1× 44 0.4× 67 0.7× 32 689
Yunlong Li China 15 212 0.9× 80 0.6× 174 1.7× 43 0.4× 173 1.9× 36 668
Soo Hwan Suh South Korea 14 108 0.5× 148 1.2× 264 2.5× 74 0.7× 49 0.5× 28 559
Soon Han Kim South Korea 12 195 0.8× 68 0.5× 107 1.0× 59 0.6× 43 0.5× 31 376
Dobroslava Bujňáková Slovakia 14 302 1.3× 48 0.4× 271 2.6× 31 0.3× 60 0.7× 42 610
Sangsuk Oh South Korea 15 199 0.8× 82 0.7× 194 1.9× 122 1.2× 69 0.8× 51 553
Monique Renon Eller Brazil 15 190 0.8× 33 0.3× 231 2.2× 68 0.7× 68 0.7× 39 538
Carmela Calonico Italy 9 292 1.2× 51 0.4× 93 0.9× 79 0.8× 137 1.5× 17 538
Mercedeh Tajbakhsh Iran 8 337 1.4× 74 0.6× 170 1.6× 33 0.3× 171 1.9× 10 694

Countries citing papers authored by Shankumar Mooyottu

Since Specialization
Citations

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

Fields of papers citing papers by Shankumar Mooyottu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankumar Mooyottu

This figure shows the co-authorship network connecting the top 25 collaborators of Shankumar Mooyottu. A scholar is included among the top collaborators of Shankumar Mooyottu 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 Shankumar Mooyottu. Shankumar Mooyottu 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.
2.
Mooyottu, Shankumar, Ganwu Li, Orhan Şahin, et al.. (2025). Fecal microbiota transplantation modulates jejunal host-microbiota interface in weanling piglets. Microbiome. 13(1). 45–45. 4 indexed citations
3.
Mooyottu, Shankumar, et al.. (2025). Antibiotic potentiators as a promising strategy for combating antibiotic resistance. PubMed. 3(1). 53–53. 2 indexed citations
4.
5.
Hernández, Belén, Chandra S. Tangudu, Auriel A. Willette, et al.. (2022). Clostridioides difficile Infection Dysregulates Brain Dopamine Metabolism. Microbiology Spectrum. 10(2). e0007322–e0007322. 18 indexed citations
6.
Mooyottu, Shankumar, et al.. (2022). Effects of 1,25-Dihydroxyvitamin D3 and 25-Hydroxyvitamin D3 on PBMCs From Dairy Cattle Naturally Infected With Mycobacterium avium subsp. paratuberculosis. Frontiers in Veterinary Science. 9. 830144–830144. 2 indexed citations
7.
Dassanayake, Rohana P., et al.. (2022). Vitamin D3 alters macrophage phenotype and endosomal trafficking markers in dairy cattle naturally infected with Mycobacterium avium subsp. paratuberculosis. Frontiers in Cellular and Infection Microbiology. 12. 1021657–1021657. 3 indexed citations
8.
Dassanayake, Rohana P., et al.. (2022). Exogenous Vitamin D3 Modulates Response of Bovine Macrophages to Mycobacterium avium subsp. paratuberculosis Infection and Is Dependent Upon Stage of Johne’s Disease. Frontiers in Cellular and Infection Microbiology. 11. 773938–773938. 6 indexed citations
9.
10.
Proctor, Alexandra, et al.. (2021). Neonatal Piglets Are Protected from Clostridioides difficile Infection by Age-Dependent Increase in Intestinal Microbial Diversity. Microbiology Spectrum. 9(2). e0124321–e0124321. 3 indexed citations
11.
Mishra, Neha, et al.. (2021). Protective Effect of Baicalin against Clostridioides difficile Infection in Mice. Antibiotics. 10(8). 926–926. 9 indexed citations
12.
Lidbury, Jonathan A., Shankumar Mooyottu, & Albert E. Jergens. (2020). Triaditis. Veterinary Clinics of North America Small Animal Practice. 50(5). 1135–1156. 4 indexed citations
13.
Hernández, Belén, et al.. (2020). Prevalence, Colonization, Epidemiology, and Public Health Significance of Clostridioides difficile in Companion Animals. Frontiers in Veterinary Science. 7. 512551–512551. 12 indexed citations
14.
Mooyottu, Shankumar, et al.. (2017). Protective Effect of Carvacrol against Gut Dysbiosis and Clostridium difficile Associated Disease in a Mouse Model. Frontiers in Microbiology. 8. 625–625. 28 indexed citations
15.
Upadhyay, Abhinav, et al.. (2017). Effect of Dietary Minerals on Virulence Attributes of Vibrio cholerae. Frontiers in Microbiology. 8. 911–911. 7 indexed citations
16.
Mooyottu, Shankumar, et al.. (2017). Carvacrol reduces Clostridium difficile sporulation and spore outgrowth in vitro. Journal of Medical Microbiology. 66(8). 1229–1234. 12 indexed citations
17.
Upadhyay, Abhinav, Indu Upadhyaya, Shankumar Mooyottu, Anup Kollanoor Johny, & Kumar Venkitanarayanan. (2014). Efficacy of plant-derived compounds combined with hydrogen peroxide as antimicrobial wash and coating treatment for reducing Listeria monocytogenes on cantaloupes. Food Microbiology. 44. 47–53. 30 indexed citations
18.
Mooyottu, Shankumar, et al.. (2014). Characterization of a multidrug resistant C. difficile meat isolate. International Journal of Food Microbiology. 192. 111–116. 22 indexed citations
19.
Upadhyaya, Indu, Abhinav Upadhyay, Anup Kollanoor Johny, et al.. (2013). Rapid inactivation of Salmonella Enteritidis on shell eggs by plant-derived antimicrobials. Poultry Science. 92(12). 3228–3235. 38 indexed citations
20.
Upadhyay, Abhinav, Indu Upadhyaya, Anup Kollanoor Johny, et al.. (2013). Inactivation of Listeria monocytogenes on frankfurters by plant-derived antimicrobials alone or in combination with hydrogen peroxide. International Journal of Food Microbiology. 163(2-3). 114–118. 24 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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