M. Florencia Camus
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Insect Science top 5%
- Co-authors
- Damian K. DowlingDavid J. ClancyMax ReuterJonci N. WolffEdward H. MorrowCarla M. SgròKevin FowlerJochen B. W. Wolf
- Topics
- Mitochondrial Function and Pathology (11 papers)Physiological and biochemical adaptations (9 papers)Genetics, Aging, and Longevity in Model Organisms (8 papers)
- Cited by
- AgingInsect ScienceGenetics
- Journals
- Current BiologyScientific ReportsPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- United KingdomAustraliaFinland
In The Last Decade
M. Florencia Camus
28 papers receiving 785 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 325
- Genetics 302
- Ecology 242
- Ecology, Evolution, Behavior and Systematics 196
- Insect Science 162
Countries citing papers authored by M. Florencia Camus
This map shows the geographic impact of M. Florencia Camus'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 M. Florencia Camus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Florencia Camus more than expected).
Fields of papers citing papers by M. Florencia Camus
This network shows the impact of papers produced by M. Florencia Camus. 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 M. Florencia Camus. The network helps show where M. Florencia Camus may publish in the future.
Co-authorship network of co-authors of M. Florencia Camus
This figure shows the co-authorship network connecting the top 25 collaborators of M. Florencia Camus. A scholar is included among the top collaborators of M. Florencia Camus 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 M. Florencia Camus. M. Florencia Camus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 45 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 19 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 50 | |
| 16 | 1 | |
| 17 | 27 | |
| 18 | 98 | |
| 19 | 77 | |
| 20 | 160 |
About M. Florencia Camus
M. Florencia Camus is a scholar working on Aging, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 28 papers that have together received 786 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Physiological and biochemical adaptations (9 papers) and Genetics, Aging, and Longevity in Model Organisms (8 papers). The work is most often cited by research in Aging (149 citations), Insect Science (162 citations) and Genetics (302 citations). M. Florencia Camus has collaborated with scholars based in United Kingdom, Australia and Finland. Frequent co-authors include Damian K. Dowling, David J. Clancy, Max Reuter, Jonci N. Wolff, Edward H. Morrow, Carla M. Sgrò, Kevin Fowler, Jochen B. W. Wolf, Matthew D. W. Piper and Gregory D. D. Hurst. Their work appears in journals such as Current Biology, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.
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.