Christopher S. Smillie
- Molecular Biology top 5%
- Ecology top 2%
- Genetics top 5%
- Molecular Medicine top 0.5%
- Infectious Diseases top 2%
- Co-authors
- Eric J. AlmM. Pilar Garcillán‐BarciaFernando de la CruzEduardo P. C. RochaMaría Victoria FranciaMark SmithJonathan FriedmanLawrence A. David
- Topics
- Gut microbiota and health (11 papers)Genomics and Phylogenetic Studies (6 papers)Microbial Community Ecology and Physiology (4 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Christopher S. Smillie
21 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.3k
- Ecology 760
- Genetics 666
- Molecular Medicine 613
- Infectious Diseases 560
Countries citing papers authored by Christopher S. Smillie
This map shows the geographic impact of Christopher S. Smillie'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 Christopher S. Smillie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. Smillie more than expected).
Fields of papers citing papers by Christopher S. Smillie
This network shows the impact of papers produced by Christopher S. Smillie. 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 Christopher S. Smillie. The network helps show where Christopher S. Smillie may publish in the future.
Co-authorship network of co-authors of Christopher S. Smillie
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher S. Smillie. A scholar is included among the top collaborators of Christopher S. Smillie 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 Christopher S. Smillie. Christopher S. Smillie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 19 | |
| 3 | Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular statesbreakdown → | 137 |
| 4 | 82 | |
| 5 | 13 | |
| 6 | The Human and Mouse Enteric Nervous System at Single-Cell Resolutionbreakdown → | 337 |
| 7 | 69 | |
| 8 | 246 | |
| 9 | Unraveling the processes shaping mammalian gut microbiomes over evolutionary time | 3 |
| 10 | 313 | |
| 11 | 85 | |
| 12 | 172 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 135 | |
| 16 | 147 | |
| 17 | 214 | |
| 18 | Ecology drives a global network of gene exchange connecting the human microbiomebreakdown → | 663 |
| 19 | 172 | |
| 20 | 15 |
About Christopher S. Smillie
Christopher S. Smillie is a scholar working on Ecology, Food Science and Molecular Biology, having authored 21 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), Genomics and Phylogenetic Studies (6 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Molecular Medicine (613 citations), Endocrinology (296 citations) and Gastroenterology (258 citations). Christopher S. Smillie has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Eric J. Alm, M. Pilar Garcillán‐Barcia, Fernando de la Cruz, Eduardo P. C. Rocha, María Victoria Francia, Mark Smith, Jonathan Friedman, Lawrence A. David, Otto X. Cordero and Ramnik J. Xavier. Their work appears in journals such as Nature, Science and Cell.
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.