Janne Nikkilä
- Molecular Biology top 2%
- Physiology top 2%
- Infectious Diseases top 2%
- Food Science top 1%
- Gastroenterology top 1%
- Co-authors
- Willem M. de VosLotta NylundReetta SatokariAiri PalvaMarco CandelaRita OstanLaura BucciElena Biagi
- Topics
- Gut microbiota and health (17 papers)Gene expression and cancer classification (9 papers)Probiotics and Fermented Foods (8 papers)
- Journals
- BioinformaticsPLoS ONEOncogene
- Partner nations
- FinlandNetherlandsItaly
In The Last Decade
Janne Nikkilä
38 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 3.0k
- Physiology 1.1k
- Infectious Diseases 735
- Food Science 618
- Gastroenterology 518
Countries citing papers authored by Janne Nikkilä
This map shows the geographic impact of Janne Nikkilä'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 Janne Nikkilä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janne Nikkilä more than expected).
Fields of papers citing papers by Janne Nikkilä
This network shows the impact of papers produced by Janne Nikkilä. 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 Janne Nikkilä. The network helps show where Janne Nikkilä may publish in the future.
Co-authorship network of co-authors of Janne Nikkilä
This figure shows the co-authorship network connecting the top 25 collaborators of Janne Nikkilä. A scholar is included among the top collaborators of Janne Nikkilä 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 Janne Nikkilä. Janne Nikkilä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 122 | |
| 2 | 117 | |
| 3 | 85 | |
| 4 | 65 | |
| 5 | 144 | |
| 6 | 64 | |
| 7 | Influence of a Probiotic Milk Drink, Containing Lactobacillus Paracasei Lpc-37, on Immune Function and Gut Microbiota in Elderly Subjects | 9 |
| 8 | 212 | |
| 9 | 261 | |
| 10 | 72 | |
| 11 | 51 | |
| 12 | 450 | |
| 13 | 59 | |
| 14 | 10 | |
| 15 | 131 | |
| 16 | 55 | |
| 17 | Comparative Analysis of Pyrosequencing and a Phylogenetic Microarray for Exploring Microbial Community Structures in the Human Distal Intestinebreakdown → | 723 |
| 18 | 18 | |
| 19 | 97 | |
| 20 | Methods for Interpreting a Self-Organized Map in Data Analysis | 58 |
About Janne Nikkilä
Janne Nikkilä is a scholar working on Gastroenterology, Food Science and Molecular Biology, having authored 38 papers that have together received 4.6k indexed citations. Recurring topics across this work include Gut microbiota and health (17 papers), Gene expression and cancer classification (9 papers) and Probiotics and Fermented Foods (8 papers). The work is most often cited by research in Gastroenterology (518 citations), Biological Psychiatry (197 citations) and Molecular Biology (3.0k citations). Janne Nikkilä has collaborated with scholars based in Finland, Netherlands and Italy. Frequent co-authors include Willem M. de Vos, Lotta Nylund, Reetta Satokari, Airi Palva, Marco Candela, Rita Ostan, Laura Bucci, Elena Biagi, Claudio Franceschi and Daniela Monti. Their work appears in journals such as Bioinformatics, PLoS ONE and Oncogene.
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.