Francheska Colón‐González
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- Antibiotic Use and Resistance 2
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 3
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- Regulation of Appetite and Obesity 3
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy 5
- Pharmacology and Obesity Treatment 2
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- Pneumonia and Respiratory Infections 2
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- Cancer, Hypoxia, and Metabolism 2
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- Diet and metabolism studies 2
- Co-authors
- Marcelo G. KazanietzJieru E. LinScott A. WaldmanGilbert W. KimMichael ValentinoWalter K. KraftDennis E. DischerThomas D. Dziubla
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Francheska Colón‐González
18 papers receiving 584 citations
Peers
Comparison fields: 5 of 85
- Applied Microbiology and Biotechnology 25
- Molecular Medicine 52
- Endocrine and Autonomic Systems 41
- Cell Biology 92
- Pharmacology 94
Countries citing papers authored by Francheska Colón‐González
This map shows the geographic impact of Francheska Colón‐González'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 Francheska Colón‐González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francheska Colón‐González more than expected).
Fields of papers citing papers by Francheska Colón‐González
This network shows the impact of papers produced by Francheska Colón‐González. 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 Francheska Colón‐González. The network helps show where Francheska Colón‐González may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francheska Colón‐González, 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 | 2023 | 2 | |
| 2 | 2020 | 3 | |
| 3 | 2020 | 0 | |
| 4 | 2020 | 26 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 42 | |
| 7 | 2016 | 47 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 2 | |
| 10 | 2013 | 11 | |
| 11 | 2013 | 2 | |
| 12 | 2012 | 47 | |
| 13 | 2011 | 35 | |
| 14 | 2010 | 24 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 17 | |
| 17 | 2008 | 23 | |
| 18 | 2007 | 45 | |
| 19 | 2006 | 256 |
About Francheska Colón‐González
Francheska Colón‐González is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Endocrine and Autonomic Systems, having authored 19 papers that have together received 596 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Antibiotic Resistance in Bacteria (3 papers), Regulation of Appetite and Obesity (3 papers), Pneumonia and Respiratory Infections (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Pharmacology and Obesity Treatment (2 papers), Antibiotic Use and Resistance (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (25 citations), Molecular Medicine (52 citations) and Endocrine and Autonomic Systems (41 citations). Francheska Colón‐González has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Marcelo G. Kazanietz, Jieru E. Lin, Scott A. Waldman, Gilbert W. Kim, Michael Valentino, Walter K. Kraft, Dennis E. Discher, Thomas D. Dziubla, Vladimir R. Muzykantov and Eric Simone. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, Cancer Research, Nature Communications and Molecular Aspects of Medicine.
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.