Nic M. Vega
- Molecular Biology top 5%
- Genetics top 5%
- Molecular Medicine top 2%
- Ecology top 10%
- Endocrinology top 5%
- Co-authors
- James J. CollinsKyle R. AllisonJeff GoreRobert KüffnerRobert J. PrillDiogo M. CamachoJames C. CostelloDaniel Marbach
- Topics
- Gut microbiota and health (12 papers)Genetics, Aging, and Longevity in Model Organisms (8 papers)Evolution and Genetic Dynamics (7 papers)
- Cited by
- Molecular MedicineAgingEndocrinology
- Journals
- Proceedings of the National Academy of SciencesApplied and Environmental MicrobiologyNature Methods
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Nic M. Vega
23 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 1.5k
- Genetics 420
- Molecular Medicine 217
- Ecology 203
- Endocrinology 134
Countries citing papers authored by Nic M. Vega
This map shows the geographic impact of Nic M. Vega'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 Nic M. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nic M. Vega more than expected).
Fields of papers citing papers by Nic M. Vega
This network shows the impact of papers produced by Nic M. Vega. 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 Nic M. Vega. The network helps show where Nic M. Vega may publish in the future.
Co-authorship network of co-authors of Nic M. Vega
This figure shows the co-authorship network connecting the top 25 collaborators of Nic M. Vega. A scholar is included among the top collaborators of Nic M. Vega 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 Nic M. Vega. Nic M. Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 78 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | Interspecies Bacterial Competitive Outcomes in C. elegans Intestine Reveal the Principles of Community Assembly in a Simple Animal Gut | 1 |
| 14 | 25 | |
| 15 | 91 | |
| 16 | 1 | |
| 17 | 127 | |
| 18 | 335 | |
| 19 | Wisdom of crowds for robust gene network inferencebreakdown → | 1110 |
| 20 | 5 |
About Nic M. Vega
Nic M. Vega is a scholar working on Aging, Biological Psychiatry and Molecular Medicine, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Evolution and Genetic Dynamics (7 papers). The work is most often cited by research in Molecular Medicine (217 citations), Aging (51 citations) and Endocrinology (134 citations). Nic M. Vega has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include James J. Collins, Kyle R. Allison, Jeff Gore, Robert Küffner, Robert J. Prill, Diogo M. Camacho, James C. Costello, Daniel Marbach, Manolis Kellis and Gustavo Stolovitzky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Nature Methods.
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.