Anna Plantinga
Impact in
- Microbiology top 10%
- Reproductive tract infections research
Papers in
-
- Gut microbiota and health 16
- Metabolomics and Mass Spectrometry Studies 4
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Genetics 7
- Genetic Associations and Epidemiology 6
- Co-authors
- Michael C. Wu (16 shared papers)Ni Zhao (9 shared papers)Xiang Zhan (7 shared papers)Jun Chen (4 shared papers)Robert R. Jenq (2 shared papers)David N. Fredricks (3 shared papers)Tina L. Fiedler (3 shared papers)Sujatha Srinivasan (3 shared papers)
- Journals
- Bioinformatics (3 papers)Microbiome (3 papers)Biological Research For Nursing (2 papers)Clinical Infectious Diseases (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
Anna Plantinga
29 papers receiving 561 citations
Peers
Comparison fields: 5 of 105
- Microbiology 56
- Biological Psychiatry 15
- Molecular Biology 344
- Periodontics 20
- Hematology 48
Countries citing papers authored by Anna Plantinga
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
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-authors
The 25 scholars most cited alongside Anna Plantinga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2022 | 65 | |
| 3 | 2017 | 38 | |
| 4 | 2016 | 38 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 29 | |
| 8 | 2020 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2011 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 4 |
About Anna Plantinga
Anna Plantinga is a scholar working on Molecular Biology, Genetics, Epidemiology, Physiology and Gastroenterology, having authored 31 papers that have together received 568 indexed citations. Recurring topics across this work include Gut microbiota and health (16 papers), Genetic Associations and Epidemiology (6 papers), Gastrointestinal motility and disorders (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), Reproductive tract infections research (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Microbiology (56 citations), Biological Psychiatry (15 citations), Molecular Biology (344 citations), Periodontics (20 citations) and Hematology (48 citations). Anna Plantinga has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Michael C. Wu, Ni Zhao, Xiang Zhan, Jun Chen, Robert R. Jenq, David N. Fredricks, Tina L. Fiedler, Sujatha Srinivasan, Congzhou Liu and Marco Mielcarek. Their work appears in journals such as Bioinformatics, Microbiome, Biological Research For Nursing, Clinical Infectious Diseases and ACS Medicinal Chemistry Letters.
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.