Emily McGovern

885 total citations · 1 hit paper
16 papers, 655 citations indexed

About

Emily McGovern is a scholar working on Molecular Biology, Agronomy and Crop Science and Epidemiology. According to data from OpenAlex, Emily McGovern has authored 16 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Agronomy and Crop Science and 3 papers in Epidemiology. Recurrent topics in Emily McGovern's work include Gut microbiota and health (11 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Diet and metabolism studies (3 papers). Emily McGovern is often cited by papers focused on Gut microbiota and health (11 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Diet and metabolism studies (3 papers). Emily McGovern collaborates with scholars based in Australia, Ireland and France. Emily McGovern's co-authors include Sinéad M. Waters, Matthew S. McCabe, Emad El‐Omar, Amany Zekry, Jason Behary, Anita Raposo, Nadia Amorim, Geoffrey W. McCaughan, D.A. Kenny and M.T. Jackson and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Emily McGovern

14 papers receiving 650 citations

Hit Papers

Gut microbiota impact on the peripheral immune response i... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily McGovern Australia 12 361 196 183 99 87 16 655
Ali Saeed Pakistan 13 211 0.6× 242 1.2× 71 0.4× 46 0.5× 31 0.4× 24 585
Mengwei Jiang China 11 285 0.8× 203 1.0× 32 0.2× 57 0.6× 73 0.8× 20 575
Xiaodong Wu China 14 198 0.5× 91 0.5× 61 0.3× 28 0.3× 32 0.4× 37 549
Thomas P. Sanderson United States 11 163 0.5× 33 0.2× 204 1.1× 32 0.3× 42 0.5× 33 636
Himal Luitel Nepal 15 144 0.4× 65 0.3× 42 0.2× 39 0.4× 31 0.4× 33 660
Luca Villa Italy 16 69 0.2× 202 1.0× 79 0.4× 247 2.5× 25 0.3× 46 827
Junfei Guo China 13 238 0.7× 77 0.4× 191 1.0× 26 0.3× 11 0.1× 29 526
Wen Zhao China 13 186 0.5× 113 0.6× 23 0.1× 40 0.4× 14 0.2× 31 547
Zhiyuan He China 10 178 0.5× 70 0.4× 69 0.4× 29 0.3× 20 0.2× 26 445
M.J. Tarr United States 11 150 0.4× 71 0.4× 39 0.2× 32 0.3× 67 0.8× 16 715

Countries citing papers authored by Emily McGovern

Since Specialization
Citations

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

Fields of papers citing papers by Emily McGovern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily McGovern

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

All Works

16 of 16 papers shown
1.
McGovern, Emily, et al.. (2025). The role of income and rurality in US cancer mortality: A SEER analysis.. Journal of Clinical Oncology. 43(16_suppl).
2.
Keogh, Kate, David Kenny, Pâmela A. Alexandre, et al.. (2024). Relationship between the rumen microbiome and liver transcriptome in beef cattle divergent for feed efficiency. SHILAP Revista de lepidopterología. 6(1). 52–52. 4 indexed citations
3.
Altshuler, Ianina, Arturo Vera‐Ponce de León, Juline M. Walter, et al.. (2023). Metabolic influence of core ciliates within the rumen microbiome. The ISME Journal. 17(7). 1128–1140. 30 indexed citations
4.
Amorim, Nadia, Emily McGovern, Anita Raposo, et al.. (2022). Refining a Protocol for Faecal Microbiota Engraftment in Animal Models After Successful Antibiotic-Induced Gut Decontamination. Frontiers in Medicine. 9. 770017–770017. 24 indexed citations
5.
Roberts, Lynne M., Emily McGovern, Xiaotao Jiang, et al.. (2022). The P4 Study: Postpartum Maternal and Infant Faecal Microbiome 6 Months After Hypertensive Versus Normotensive Pregnancy. Frontiers in Cellular and Infection Microbiology. 12. 646165–646165. 5 indexed citations
6.
Behary, Jason, Anita Raposo, Nadia Amorim, et al.. (2021). Defining the temporal evolution of gut dysbiosis and inflammatory responses leading to hepatocellular carcinoma in Mdr2 −/− mouse model. BMC Microbiology. 21(1). 113–113. 22 indexed citations
7.
Behary, Jason, Nadia Amorim, Xiaotao Jiang, et al.. (2021). Gut microbiota impact on the peripheral immune response in non-alcoholic fatty liver disease related hepatocellular carcinoma. Nature Communications. 12(1). 187–187. 331 indexed citations breakdown →
8.
Davis, Gregory K., Emily McGovern, Lynne M. Roberts, et al.. (2020). Microbiome Understanding in Maternity Study (MUMS), an Australian prospective longitudinal cohort study of maternal and infant microbiota: study protocol. BMJ Open. 10(9). e040189–e040189. 11 indexed citations
9.
McGovern, Emily, Mark McGee, C.J. Byrne, et al.. (2020). Investigation into the effect of divergent feed efficiency phenotype on the bovine rumen microbiota across diet and breed. Scientific Reports. 10(1). 15317–15317. 35 indexed citations
10.
O’Hara, Eóin, D.A. Kenny, Emily McGovern, et al.. (2020). Investigating temporal microbial dynamics in the rumen of beef calves raised on two farms during early life. FEMS Microbiology Ecology. 96(2). 38 indexed citations
11.
He, Yan, Jia Yin, Jun Lei, et al.. (2019). Fasting challenges human gut microbiome resilience and reduces Fusobacterium. SHILAP Revista de lepidopterología. 1-2. 100003–100003. 19 indexed citations
12.
McGovern, Emily, D.A. Kenny, Matthew S. McCabe, et al.. (2018). 16S rRNA Sequencing Reveals Relationship Between Potent Cellulolytic Genera and Feed Efficiency in the Rumen of Bulls. Frontiers in Microbiology. 9. 1842–1842. 51 indexed citations
13.
McGovern, Emily, Sinéad M. Waters, Gordon Blackshields, & Matthew S. McCabe. (2018). Evaluating Established Methods for Rumen 16S rRNA Amplicon Sequencing With Mock Microbial Populations. Frontiers in Microbiology. 9. 1365–1365. 36 indexed citations
14.
McGovern, Emily, D.A. Kenny, Alan L. Kelly, & Sinéad M. Waters. (2018). 75 Late-Breaking: Investigation into the relationship Methanobrevibacter millerae YE315. Journal of Animal Science. 96(suppl_3). 399–399.
15.
McGovern, Emily, Matthew S. McCabe, Paul Cormican, et al.. (2017). Plane of nutrition affects the phylogenetic diversity and relative abundance of transcriptionally active methanogens in the bovine rumen. Scientific Reports. 7(1). 13047–13047. 15 indexed citations
16.
Popova, Milka, Emily McGovern, Matthew S. McCabe, et al.. (2017). The Structural and Functional Capacity of Ruminal and Cecal Microbiota in Growing Cattle Was Unaffected by Dietary Supplementation of Linseed Oil and Nitrate. Frontiers in Microbiology. 8. 937–937. 34 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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