Alex Washburne
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Ecology top 5%
- Biomedical Engineering top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Justin D. SilvermanSayan MukherjeeLawrence A. DavidKarsten ZenglerJames T. MortonClarisse MarotzAnna EdlundLívia S. Zaramela
- Topics
- Microbial Community Ecology and Physiology (8 papers)Gut microbiota and health (7 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Partner nations
- United StatesSwitzerlandLuxembourg
In The Last Decade
Alex Washburne
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 813
- Infectious Diseases 661
- Ecology 430
- Biomedical Engineering 336
- Public Health, Environmental and Occupational Health 106
Countries citing papers authored by Alex Washburne
This map shows the geographic impact of Alex Washburne'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 Alex Washburne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Washburne more than expected).
Fields of papers citing papers by Alex Washburne
This network shows the impact of papers produced by Alex Washburne. 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 Alex Washburne. The network helps show where Alex Washburne may publish in the future.
Co-authorship network of co-authors of Alex Washburne
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Washburne. A scholar is included among the top collaborators of Alex Washburne 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 Alex Washburne. Alex Washburne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 3 | |
| 3 | 42 | |
| 4 | 4 | |
| 5 | 20 | |
| 6 | 18 | |
| 7 | 18 | |
| 8 | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Casesbreakdown → | 593 |
| 9 | 63 | |
| 10 | 78 | |
| 11 | 140 | |
| 12 | Establishing microbial composition measurement standards with reference framesbreakdown → | 392 |
| 13 | 65 | |
| 14 | 47 | |
| 15 | 211 | |
| 16 | 74 | |
| 17 | 46 |
About Alex Washburne
Alex Washburne is a scholar working on Modeling and Simulation, Ecology and Periodontics, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Gut microbiota and health (7 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Infectious Diseases (661 citations), Ecology (430 citations) and Modeling and Simulation (76 citations). Alex Washburne has collaborated with scholars based in United States, Switzerland and Luxembourg. Frequent co-authors include Justin D. Silverman, Sayan Mukherjee, Lawrence A. David, Karsten Zengler, James T. Morton, Clarisse Marotz, Anna Edlund, Lívia S. Zaramela, Rob Knight and Jennifer D. Rocca. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Ecology.
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.