Ryan M. Pace

2.6k total citations
34 papers, 639 citations indexed

About

Ryan M. Pace is a scholar working on Epidemiology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Ryan M. Pace has authored 34 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Molecular Biology and 9 papers in Nutrition and Dietetics. Recurrent topics in Ryan M. Pace's work include Infant Nutrition and Health (9 papers), Breastfeeding Practices and Influences (7 papers) and Gut microbiota and health (7 papers). Ryan M. Pace is often cited by papers focused on Infant Nutrition and Health (9 papers), Breastfeeding Practices and Influences (7 papers) and Gut microbiota and health (7 papers). Ryan M. Pace collaborates with scholars based in United States, Spain and Canada. Ryan M. Pace's co-authors include Kjersti M. Aagaard, Maxim D. Seferovic, Derrick Chu, Lars Bode, James Versalovic, Lisa M. Nagy, Shelley McGuire, Miodrag Grbić, Janet E. Williams and Mark A. McGuire and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Obstetrics and Gynecology.

In The Last Decade

Ryan M. Pace

32 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Pace United States 12 239 199 183 125 95 34 639
Keimari Méndez Puerto Rico 8 205 0.9× 451 2.3× 155 0.8× 65 0.5× 83 0.9× 12 847
Rita Leite United States 9 234 1.0× 341 1.7× 95 0.5× 162 1.3× 135 1.4× 12 792
Juana I Rivera-Viñas Puerto Rico 5 155 0.6× 443 2.2× 155 0.8× 62 0.5× 82 0.9× 9 778
Janine Bieda United States 5 362 1.5× 176 0.9× 59 0.3× 92 0.7× 69 0.7× 7 610
Evdokia Tsaliki United Kingdom 10 234 1.0× 594 3.0× 188 1.0× 59 0.5× 255 2.7× 12 1.1k
Andrew C. Serazin United States 8 257 1.1× 174 0.9× 65 0.4× 156 1.2× 233 2.5× 9 808
Nicole Santos United States 14 166 0.7× 301 1.5× 55 0.3× 90 0.7× 226 2.4× 43 791
Anna Robaczewska United States 3 390 1.6× 419 2.1× 63 0.3× 104 0.8× 75 0.8× 3 924
Alexis Dunn Amore United States 10 102 0.4× 132 0.7× 39 0.2× 119 1.0× 88 0.9× 23 421
Walter D. Cardona Maya Colombia 21 98 0.4× 113 0.6× 34 0.2× 128 1.0× 78 0.8× 117 1.2k

Countries citing papers authored by Ryan M. Pace

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Pace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Pace. 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 Ryan M. Pace. The network helps show where Ryan M. Pace may publish in the future.

Co-authorship network of co-authors of Ryan M. Pace

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Pace. A scholar is included among the top collaborators of Ryan M. Pace 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 Ryan M. Pace. Ryan M. Pace 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.
Castro, Irma, Ryan M. Pace, Janet E. Williams, et al.. (2025). Immunological composition of human milk before and during subclinical and clinical mastitis. Frontiers in Immunology. 15. 1532432–1532432. 4 indexed citations
2.
3.
Pace, Ryan M., Beatrice Caffé, Kimberly A. Lackey, et al.. (2024). Prevalence and duration of SARS-CoV-2 fecal shedding in breastfeeding dyads following maternal COVID-19 diagnosis. Frontiers in Immunology. 15. 1329092–1329092. 1 indexed citations
4.
Williams, Janet E., Ryan M. Pace, Maria A. Gartstein, et al.. (2023). Breastfeeding patterns are associated with human milk microbiome composition: The Mother-Infant Microbiomes, Behavior, and Ecology Study (MIMBES). PLoS ONE. 18(8). e0287839–e0287839. 7 indexed citations
5.
6.
Pace, Ryan M., Derrick Chu, Amanda Prince, et al.. (2021). Complex species and strain ecology of the vaginal microbiome from pregnancy to postpartum and association with preterm birth. Med. 2(9). 1027–1049.e7. 33 indexed citations
7.
McGuire, Shelley, Antti Seppo, Ameena Goga, et al.. (2021). Best Practices for Human Milk Collection for COVID-19 Research. Breastfeeding Medicine. 16(1). 29–38. 23 indexed citations
8.
Lackey, Kimberly A., Ryan M. Pace, Janet E. Williams, et al.. (2020). SARS‐CoV‐2 and human milk: What is the evidence?. Maternal and Child Nutrition. 16(4). e13032–e13032. 99 indexed citations
9.
Seferovic, Maxim D., Mahmoud A. Mohammad, Ryan M. Pace, et al.. (2020). Maternal diet alters human milk oligosaccharide composition with implications for the milk metagenome. Scientific Reports. 10(1). 22092–22092. 111 indexed citations
10.
Antony, Kathleen M., Peter N. Kazembe, Ryan M. Pace, et al.. (2020). Population-Based Estimation of the Preterm Birth Rate in Lilongwe, Malawi: Making Every Birth Count. American Journal of Perinatology Reports. 10(1). e78–e86. 11 indexed citations
11.
Mendez‐Figueroa, Hector, Suneet P. Chauhan, Mary Catherine Tolcher, et al.. (2019). Peripartum Outcomes Before and After Hurricane Harvey. Obstetrics and Gynecology. 134(5). 1005–1016. 29 indexed citations
12.
Pace, Ryan M., Amanda Prince, Jun Ma, et al.. (2018). Modulations in the offspring gut microbiome are refractory to postnatal synbiotic supplementation among juvenile primates. BMC Microbiology. 18(1). 28–28. 19 indexed citations
13.
Chu, Derrick, Amanda Prince, Jun Ma, et al.. (2018). 115: Contribution of the fetal microbiome to the taxonomic diversity and functionality of the postnatal gut microbiome in a non-human primate (NHP) model. American Journal of Obstetrics and Gynecology. 218(1). S82–S83. 4 indexed citations
14.
Pace, Ryan M., et al.. (2018). 852: Longitudinal metagenomic survey of vaginal Group B Strep (GBS) status and microbial community structure suggests transient culture sensitivity. American Journal of Obstetrics and Gynecology. 218(1). S508–S509. 1 indexed citations
15.
Pace, Ryan M., Derrick Chu, Kristen M. Meyer, et al.. (2018). 39: Amniotic fluid contains detectable microbial DNA that significantly differs from appropriate contamination controls. American Journal of Obstetrics and Gynecology. 220(1). S30–S31. 1 indexed citations
16.
Pace, Ryan M., et al.. (2018). 477: Microbial strain ecology of the vaginal microbiome in pregnancy and at postpartum. American Journal of Obstetrics and Gynecology. 220(1). S318–S319.
17.
Chu, Derrick, Maxim D. Seferovic, Ryan M. Pace, & Kjersti M. Aagaard. (2018). The microbiome in preterm birth. Best Practice & Research Clinical Obstetrics & Gynaecology. 52. 103–113. 59 indexed citations
18.
Pace, Ryan M., et al.. (2018). 1024: Ecology and diversity of the vaginal microbiome in pregnancy and postpartum. American Journal of Obstetrics and Gynecology. 220(1). S657–S658. 1 indexed citations
19.
Pace, Ryan M., Miodrag Grbić, & Lisa M. Nagy. (2016). Composition and genomic organization of arthropod Hox clusters. EvoDevo. 7(1). 11–11. 42 indexed citations
20.
Pace, Ryan M.. (2004). Hygronomini e Athetini della Cina con note sinonimiche (Coleoptera, Staphylinidae). Revue suisse de zoologie. 111. 457–523. 5 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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