Kylie Kavanagh

3.9k total citations · 1 hit paper
91 papers, 2.8k citations indexed

About

Kylie Kavanagh is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kylie Kavanagh has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Physiology, 31 papers in Molecular Biology and 20 papers in Epidemiology. Recurrent topics in Kylie Kavanagh's work include Diet and metabolism studies (25 papers), Adipose Tissue and Metabolism (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (11 papers). Kylie Kavanagh is often cited by papers focused on Diet and metabolism studies (25 papers), Adipose Tissue and Metabolism (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (11 papers). Kylie Kavanagh collaborates with scholars based in United States, Australia and India. Kylie Kavanagh's co-authors include Janice D. Wagner, Hariom Yadav, Ravinder Nagpal, Shokouh Ahmadi, Shaohua Wang, Dalane W. Kitzman, Аlmagul Kushugulova, Ria Singh, Rabina Mainali and Francesco Marotta and has published in prestigious journals such as Nature, Gastroenterology and American Journal of Clinical Nutrition.

In The Last Decade

Kylie Kavanagh

81 papers receiving 2.7k citations

Hit Papers

Gut microbiome and aging: Physiological and mechanistic i... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kylie Kavanagh United States 27 1.3k 1.1k 433 355 273 91 2.8k
Mora Murri Spain 26 1.7k 1.3× 1.1k 1.0× 414 1.0× 415 1.2× 352 1.3× 64 3.7k
Brandon D. Kayser United States 17 1.7k 1.3× 1.5k 1.3× 423 1.0× 363 1.0× 246 0.9× 22 2.9k
Renato Tadeu Nachbar Brazil 16 1.4k 1.1× 824 0.7× 316 0.7× 269 0.8× 354 1.3× 27 2.6k
Oriol Alberto Rangel-Zúñiga Spain 28 1.5k 1.1× 1.2k 1.1× 336 0.8× 249 0.7× 298 1.1× 90 2.9k
Audrey Loumaye Belgium 15 2.0k 1.5× 1.3k 1.2× 317 0.7× 238 0.7× 247 0.9× 30 2.8k
Lisa Olsson Sweden 15 1.8k 1.4× 1.0k 0.9× 240 0.6× 339 1.0× 194 0.7× 24 2.5k
Adeline Duchampt France 13 1.9k 1.4× 1.5k 1.4× 249 0.6× 411 1.2× 425 1.6× 18 2.9k
Christopher L. Gentile United States 29 1.4k 1.0× 1.2k 1.1× 809 1.9× 503 1.4× 267 1.0× 57 3.4k
Louise E. Olofsson Sweden 16 1.3k 1.0× 977 0.9× 362 0.8× 182 0.5× 234 0.9× 22 2.3k
Kyung‐Ah Kim South Korea 30 2.5k 1.9× 965 0.9× 441 1.0× 241 0.7× 283 1.0× 118 3.9k

Countries citing papers authored by Kylie Kavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Kylie Kavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kylie Kavanagh

This figure shows the co-authorship network connecting the top 25 collaborators of Kylie Kavanagh. A scholar is included among the top collaborators of Kylie Kavanagh 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 Kylie Kavanagh. Kylie Kavanagh 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.
Kavanagh, Kylie. (2025). The rise of ‘nightmare bacteria’: antimicrobial resistance in five charts. Nature. 646(8085). 526–527.
2.
Zhang, Pengbo, Liang Liu, Wei Zhang, et al.. (2025). Distinct microbiota profiles in non-survivors in preterm infants with surgical necrotizing enterocolitis: Insights from FFPE intestinal tissue analysis. Journal of Neonatal-Perinatal Medicine. 18(6). 574–588.
5.
Sai, Kiran Kumar Solingapuram, et al.. (2024). Exploratory Dual PET imaging of [18F] fluorodeoxyglucose and [11C]acetoacetate in type 2 diabetic nonhuman primates. Bioorganic & Medicinal Chemistry Letters. 111. 129906–129906. 1 indexed citations
6.
Meléndez, Giselle C., et al.. (2023). Replacement substance P reduces cardiac fibrosis in monkeys with type 2 diabetes. Biomedicine & Pharmacotherapy. 160. 114365–114365. 6 indexed citations
7.
Ruggiero, Alistaire D., et al.. (2023). Visceral adipose microbial and inflammatory signatures in metabolically healthy and unhealthy nonhuman primates. Obesity. 31(10). 2543–2556. 4 indexed citations
8.
Ruggiero, Alistaire D., Ravichandra Vemuri, Matthew A. Davis, et al.. (2022). Macrophage Phenotypes and Gene Expression Patterns Are Unique in Naturally Occurring Metabolically Healthy Obesity. International Journal of Molecular Sciences. 23(20). 12680–12680. 9 indexed citations
9.
Vemuri, Ravichandra, Alistaire D. Ruggiero, Greg Dugan, et al.. (2022). Hypertension promotes microbial translocation and dysbiotic shifts in the fecal microbiome of nonhuman primates. American Journal of Physiology-Heart and Circulatory Physiology. 322(3). H474–H485. 12 indexed citations
10.
Vemuri, Ravichandra, Christopher Martoni, Kylie Kavanagh, & Rajaraman Eri. (2022). Lactobacillus acidophilus DDS-1 Modulates the Gut Microbial Co-Occurrence Networks in Aging Mice. Nutrients. 14(5). 977–977. 6 indexed citations
11.
Zhou, Xiaoxu, Euy‐Myoung Jeong, Hong Liu, et al.. (2022). Circulating S‐Glutathionylated cMyBP‐C as a Biomarker for Cardiac Diastolic Dysfunction. Journal of the American Heart Association. 11(11). e025295–e025295. 6 indexed citations
12.
Ruggiero, Alistaire D., Matthew A. Davis, Ashley Davis, et al.. (2022). Delayed effects of radiation in adipose tissue reflect progenitor damage and not cellular senescence. GeroScience. 45(1). 507–521. 5 indexed citations
13.
Norouzi, Shaghayegh, Alistaire D. Ruggiero, Mohammad Sharif Khan, et al.. (2021). Type-2 Diabetes as a Risk Factor for Severe COVID-19 Infection. Microorganisms. 9(6). 1211–1211. 48 indexed citations
14.
Craft, Suzanne, Caitlin S. Latimer, C. Dirk Keene, et al.. (2021). Aging‐related Alzheimer's disease‐like neuropathology and functional decline in captive vervet monkeys (Chlorocebus aethiops sabaeus). American Journal of Primatology. 83(11). e23260–e23260. 20 indexed citations
15.
Vemuri, Ravichandra, et al.. (2020). Age-Related Colonic Mucosal Microbiome Community Shifts in Monkeys. The Journals of Gerontology Series A. 76(11). 1906–1914. 9 indexed citations
16.
Vemuri, Ravichandra, Esaki M. Shankar, Marcello Chieppa, Rajaraman Eri, & Kylie Kavanagh. (2020). Beyond Just Bacteria: Functional Biomes in the Gut Ecosystem Including Virome, Mycobiome, Archaeome and Helminths. Microorganisms. 8(4). 483–483. 102 indexed citations
17.
Tytell, Michael, et al.. (2017). Alfalfa-derived HSP70 administered intranasally improves insulin sensitivity in mice. Cell Stress and Chaperones. 23(2). 189–194. 13 indexed citations
18.
Gharaibeh, Raad Z., et al.. (2016). Reduced intestinal motility, mucosal barrier function, and inflammation in aged monkeys. The journal of nutrition health & aging. 21(4). 354–361. 68 indexed citations
19.
Kavanagh, Kylie, et al.. (2015). Type 2 Diabetes is a Delayed Late Effect of Whole-Body Irradiation in Nonhuman Primates. Radiation Research. 183(4). 398–406. 27 indexed citations
20.
Kavanagh, Kylie, J. Koudy Williams, & Janice D. Wagner. (2005). Naturally occurring menopause in cynomolgus monkeys: changes in hormone, lipid, and carbohydrate measures with hormonal status. Journal of Medical Primatology. 34(4). 171–177. 38 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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