Amanda Hazel Dilmore

612 total citations · 1 hit paper
11 papers, 265 citations indexed

About

Amanda Hazel Dilmore is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Amanda Hazel Dilmore has authored 11 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Infectious Diseases. Recurrent topics in Amanda Hazel Dilmore's work include Gut microbiota and health (8 papers), Diet and metabolism studies (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Amanda Hazel Dilmore is often cited by papers focused on Gut microbiota and health (8 papers), Diet and metabolism studies (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Amanda Hazel Dilmore collaborates with scholars based in United States, Sweden and Australia. Amanda Hazel Dilmore's co-authors include Rob Knight, Cameron Martino, Dilip V. Jeste, Jessica L. Metcalf, Zachary M. Burcham, Gibraan Rahman, Suzanne Craft, Bryan J. Neth, Rima Kaddurah‐Daouk and Pieter C. Dorrestein and has published in prestigious journals such as Nature Communications, Nature Reviews Microbiology and Molecular Psychiatry.

In The Last Decade

Amanda Hazel Dilmore

11 papers receiving 264 citations

Hit Papers

Microbiota succession throughout life from the cradle to ... 2022 2026 2023 2024 2022 40 80 120

Peers

Amanda Hazel Dilmore
Amanda Hazel Dilmore
Citations per year, relative to Amanda Hazel Dilmore Amanda Hazel Dilmore (= 1×) peers Liting Cai

Countries citing papers authored by Amanda Hazel Dilmore

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Hazel Dilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Hazel Dilmore. 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 Amanda Hazel Dilmore. The network helps show where Amanda Hazel Dilmore may publish in the future.

Co-authorship network of co-authors of Amanda Hazel Dilmore

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

All Works

11 of 11 papers shown
1.
Patel, Lucas, Yoshihiko Tomofuji, Antonio González, et al.. (2025). Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data. Nature Communications. 16(1). 825–825. 5 indexed citations
2.
Dilmore, Amanda Hazel, Rayus Kuplicki, Mehrbod Estaki, et al.. (2025). Medication use is associated with distinct microbial features in anxiety and depression. Molecular Psychiatry. 30(6). 2545–2557. 5 indexed citations
3.
Dilmore, Amanda Hazel, Tyler K. Ulland, Sterling C. Johnson, et al.. (2024). Gut microbiome features associate with cognitive scores in individuals at risk for Alzheimer’s disease. Alzheimer s & Dementia. 20(S2). 1 indexed citations
4.
Batra, Richa, Bryan J. Neth, Cameron Martino, et al.. (2024). Serum and CSF metabolomics analysis shows Mediterranean Ketogenic Diet mitigates risk factors of Alzheimer’s disease. PubMed. 2(1). 15–15. 14 indexed citations
5.
Bogatyrev, Said R., et al.. (2023). Quantitative whole-tissue 3D imaging reveals bacteria in close association with mouse jejunum mucosa. npj Biofilms and Microbiomes. 9(1). 64–64. 1 indexed citations
6.
Rahman, Gibraan, Daniel McDonald, Antonio González, et al.. (2023). Determination of Effect Sizes for Power Analysis for Microbiome Studies Using Large Microbiome Databases. Genes. 14(6). 1239–1239. 9 indexed citations
7.
Dilmore, Amanda Hazel, Cameron Martino, Bryan J. Neth, et al.. (2023). Effects of a ketogenic and low‐fat diet on the human metabolome, microbiome, and foodome in adults at risk for Alzheimer's disease. Alzheimer s & Dementia. 19(11). 4805–4816. 58 indexed citations
8.
Martino, Cameron, Amanda Hazel Dilmore, Zachary M. Burcham, et al.. (2022). Microbiota succession throughout life from the cradle to the grave. Nature Reviews Microbiology. 20(12). 707–720. 148 indexed citations breakdown →
9.
Dickerson, Faith, Amanda Hazel Dilmore, Filipa Godoy‐Vitorino, et al.. (2022). The Microbiome and Mental Health Across the Lifespan. Current topics in behavioral neurosciences. 61. 119–140. 7 indexed citations
10.
Martino, Cameron, Daniel McDonald, Kalen Cantrell, et al.. (2022). Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype. mSystems. 7(3). e0005022–e0005022. 12 indexed citations
11.
Kohn, Jordan N., Dylan J. Jester, Amanda Hazel Dilmore, et al.. (2022). Trends, heterogeneity, and correlates of mental health and psychosocial well-being in later-life: study of 590 community-dwelling adults aged 40–104 years. Aging & Mental Health. 27(6). 1198–1207. 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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