Anna Plantinga

1.2k total citations
31 papers, 568 citations indexed

About

Anna Plantinga is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Anna Plantinga has authored 31 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Anna Plantinga's work include Gut microbiota and health (16 papers), Genetic Associations and Epidemiology (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Anna Plantinga is often cited by papers focused on Gut microbiota and health (16 papers), Genetic Associations and Epidemiology (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Anna Plantinga collaborates with scholars based in United States, China and Greece. Anna Plantinga's co-authors include Michael C. Wu, Ni Zhao, Xiang Zhan, Jun Chen, Tina L. Fiedler, David N. Fredricks, Sujatha Srinivasan, Robert R. Jenq, Congzhou Liu and Alex Morrison and has published in prestigious journals such as Nature Communications, Bioinformatics and Clinical Infectious Diseases.

In The Last Decade

Anna Plantinga

29 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Plantinga United States 14 344 100 67 67 65 31 568
S. Peterson United States 9 383 1.1× 53 0.5× 47 0.7× 52 0.8× 87 1.3× 12 581
Caitlin Russell United States 7 339 1.0× 195 1.9× 115 1.7× 100 1.5× 64 1.0× 9 561
Takashi Kusu Japan 9 312 0.9× 85 0.8× 44 0.7× 78 1.2× 37 0.6× 17 668
Astrit Dautaj Italy 13 112 0.3× 51 0.5× 18 0.3× 54 0.8× 91 1.4× 34 440
Sascha Cording France 11 399 1.2× 111 1.1× 57 0.9× 143 2.1× 103 1.6× 12 1.2k
Tressia Hing United States 10 138 0.4× 97 1.0× 96 1.4× 103 1.5× 25 0.4× 12 457
Taylor K. Farley United States 6 260 0.8× 45 0.5× 46 0.7× 68 1.0× 46 0.7× 8 543
Bethann S. Hromatka United States 6 158 0.5× 64 0.6× 119 1.8× 138 2.1× 36 0.6× 7 485
Samuel J. Gavzy United States 8 348 1.0× 88 0.9× 64 1.0× 116 1.7× 50 0.8× 14 680

Countries citing papers authored by Anna Plantinga

Since Specialization
Citations

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

Fields of papers citing papers by Anna Plantinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Plantinga

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Plantinga. A scholar is included among the top collaborators of Anna Plantinga 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 Anna Plantinga. Anna Plantinga 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.
Veaux, Richard D. De, et al.. (2025). Age and performance in masters swimming and running. Journal of Quantitative Analysis in Sports. 21(2). 137–152.
2.
Plantinga, Anna, Robert L. Burr, Kevin C. Cain, et al.. (2025). Exploration of Cytokines and Microbiome Among Males and Females with Diarrhea-Predominant Irritable Bowel Syndrome. Digestive Diseases and Sciences. 70(3). 1043–1051. 1 indexed citations
4.
Kamp, Kendra, Anna Plantinga, Kevin C. Cain, et al.. (2024). Gut microbiome and symptoms in females with irritable bowel syndrome: a cross-sectional analysis. Beneficial Microbes. 15(3). 259–273. 4 indexed citations
5.
Plantinga, Anna, Kendra Kamp, Qinglong Wu, et al.. (2023). Exploration of associations among dietary tryptophan, microbiome composition and function, and symptom severity in irritable bowel syndrome. Neurogastroenterology & Motility. 35(5). e14545–e14545. 2 indexed citations
6.
Matthews, S., Anna Plantinga, Robert L. Burr, et al.. (2023). Exploring the Role of Vitamin D and the Gut Microbiome: A Cross-Sectional Study of Individuals with Irritable Bowel Syndrome and Healthy Controls. Biological Research For Nursing. 25(3). 436–443. 2 indexed citations
7.
Zhao, Ni, Anna Plantinga, Courtney A. Broedlow, et al.. (2023). Accommodating multiple potential normalizations in microbiome associations studies. BMC Bioinformatics. 24(1). 22–22. 5 indexed citations
8.
Plantinga, Anna, et al.. (2023). Impact of Data and Study Characteristics on Microbiome Volatility Estimates. Genes. 14(1). 218–218. 3 indexed citations
9.
Liu, Hongjiao, Xing Hua, Jee‐Young Moon, et al.. (2023). Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity. Microbiome. 11(1). 80–80. 6 indexed citations
10.
Plantinga, Anna, et al.. (2023). U.S. Mental Health Dashboard. 323–329.
11.
Zhao, Ni, Anju Lulla, Anna Plantinga, et al.. (2022). Batch effects removal for microbiome data via conditional quantile regression. Nature Communications. 13(1). 5418–5418. 65 indexed citations
12.
Wang, Tianying, et al.. (2021). Testing microbiome association using integrated quantile regression models. Bioinformatics. 38(2). 419–425. 4 indexed citations
13.
Zhao, Ni, Anna Plantinga, Lenore J. Launer, et al.. (2021). Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ). Microbiome. 9(1). 181–181. 18 indexed citations
14.
Kimmel, Mary, Kai Xia, M. Andrea Azcárate-Peril, et al.. (2021). Metabolite trajectories across the perinatal period and mental health: A preliminary study of tryptophan-related metabolites, bile acids and microbial composition. Behavioural Brain Research. 418. 113635–113635. 16 indexed citations
15.
Becker, Sarah, Edna Chiang, Anna Plantinga, et al.. (2020). Effect of stevia on the gut microbiota and glucose tolerance in a murine model of diet-induced obesity. FEMS Microbiology Ecology. 96(6). 26 indexed citations
16.
Drineas, Petros, Fotis Tsetsos, Anna Plantinga, et al.. (2019). Genetic history of the population of Crete. Annals of Human Genetics. 83(6). 373–388. 3 indexed citations
17.
Zhan, Xiang, Lingzhou Xue, Haotian Zheng, et al.. (2018). A small‐sample kernel association test for correlated data with application to microbiome association studies. Genetic Epidemiology. 42(8). 772–782. 24 indexed citations
18.
Stamatoyannopoulos, George, Athanasios Teodosiadis, Fotis Tsetsos, et al.. (2017). Genetics of the peloponnesean populations and the theory of extinction of the medieval peloponnesean Greeks. European Journal of Human Genetics. 25(5). 637–645. 11 indexed citations
19.
Plantinga, Anna, Xiang Zhan, Ni Zhao, et al.. (2017). MiRKAT-S: a community-level test of association between the microbiota and survival times. Microbiome. 5(1). 17–17. 38 indexed citations
20.
Golob, Jonathan L., Steven A. Pergam, Sujatha Srinivasan, et al.. (2017). Stool Microbiota at Neutrophil Recovery Is Predictive for Severe Acute Graft vs Host Disease After Hematopoietic Cell Transplantation. Clinical Infectious Diseases. 65(12). 1984–1991. 136 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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