Carlos C. Flores
- Aging top 10%
- Biotechnology top 5%
- Plant Science top 5%
- Molecular Biology top 10%
- DNA Repair Mechanisms 6
- Plant tissue culture and regeneration 3
- Genomics and Chromatin Dynamics 3
- Endocrinology top 10%
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- Bacteriophages and microbial interactions 4
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- Circadian rhythm and melatonin 4
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- Sleep and Wakefulness Research 4
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- Bacterial Genetics and Biotechnology 3
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Eugene W. NesterWilliam R. EngelsGynheung AnScott E. StachelChristine R PrestonConrad LichtensteinDena M. Johnson-SchlitzIshtiaq Qadri
- Cited by
- AgingBiotechnologyPlant Science
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Carlos C. Flores
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Aging 28
- Biotechnology 121
- Plant Science 470
- Molecular Biology 828
- Endocrinology 32
Countries citing papers authored by Carlos C. Flores
This map shows the geographic impact of Carlos C. Flores'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 Carlos C. Flores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos C. Flores more than expected).
Fields of papers citing papers by Carlos C. Flores
This network shows the impact of papers produced by Carlos C. Flores. 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 Carlos C. Flores. The network helps show where Carlos C. Flores may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos C. Flores, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 11 | |
| 9 | 2014 | 16 | |
| 10 | 2007 | 23 | |
| 11 | 2007 | 43 | |
| 12 | 2006 | 39 | |
| 13 | 2005 | 69 | |
| 14 | 2004 | 93 | |
| 15 | 2002 | 153 | |
| 16 | 1999 | 36 | |
| 17 | 1992 | 2 | |
| 18 | 1990 | 42 | |
| 19 | 1989 | 11 | |
| 20 | Nucleotide sequence and transcript mapping of the tmr gene of the pTiA6NC octopine Ti-plasmid: a bacterial gene involved in plant tumorigenesis. | 1984 | 47 |
About Carlos C. Flores
Carlos C. Flores is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Bacteriophages and microbial interactions (4 papers), Circadian rhythm and melatonin (4 papers), Sleep and Wakefulness Research (4 papers), Bacterial Genetics and Biotechnology (3 papers), Plant tissue culture and regeneration (3 papers), Genomics and Chromatin Dynamics (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (28 citations), Biotechnology (121 citations) and Plant Science (470 citations). Carlos C. Flores has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Eugene W. Nester, William R. Engels, Gynheung An, Scott E. Stachel, Christine R Preston, Conrad Lichtenstein, Dena M. Johnson-Schlitz, Ishtiaq Qadri, Harry J. Klee and Michael D. Gordon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.