Gustavo Arango-Argoty
- Molecular Biology
- Pollution top 2%
- Molecular Medicine top 1%
- Ecology top 10%
- Infectious Diseases
- Co-authors
- Amy PrudenPeter J. VikeslandLenwood S. HeathLiqing ZhangEmily GarnerWeidong XiaoLijun ZhangDongjuan Dai
- Topics
- Genomics and Phylogenetic Studies (8 papers)Antibiotic Resistance in Bacteria (6 papers)Pharmaceutical and Antibiotic Environmental Impacts (6 papers)
- Partner nations
- United StatesColombiaUnited Kingdom
In The Last Decade
Gustavo Arango-Argoty
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 580
- Pollution 412
- Molecular Medicine 325
- Ecology 190
- Infectious Diseases 102
Countries citing papers authored by Gustavo Arango-Argoty
This map shows the geographic impact of Gustavo Arango-Argoty'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 Gustavo Arango-Argoty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo Arango-Argoty more than expected).
Fields of papers citing papers by Gustavo Arango-Argoty
This network shows the impact of papers produced by Gustavo Arango-Argoty. 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 Gustavo Arango-Argoty. The network helps show where Gustavo Arango-Argoty may publish in the future.
Co-authorship network of co-authors of Gustavo Arango-Argoty
This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Arango-Argoty. A scholar is included among the top collaborators of Gustavo Arango-Argoty 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 Gustavo Arango-Argoty. Gustavo Arango-Argoty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 56 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 38 | |
| 12 | 84 | |
| 13 | DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic databreakdown → | 558 |
| 14 | 47 | |
| 15 | 55 | |
| 16 | 19 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 111 | |
| 20 | 2 |
About Gustavo Arango-Argoty
Gustavo Arango-Argoty is a scholar working on Molecular Medicine, Pollution and Clinical Biochemistry, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Antibiotic Resistance in Bacteria (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (6 papers). The work is most often cited by research in Molecular Medicine (325 citations), Applied Microbiology and Biotechnology (73 citations) and Pollution (412 citations). Gustavo Arango-Argoty has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent co-authors include Amy Pruden, Peter J. Vikesland, Lenwood S. Heath, Liqing Zhang, Emily Garner, Weidong Xiao, Lijun Zhang, Dongjuan Dai, Teresa T. Liu and Sang Woo Kim. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Environmental Science & Technology.
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.