Junxia Song
Impact in
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- Antibiotic Use and Resistance
- Virology top 10%
- Rabies epidemiology and control
Papers in
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- Antibiotic Use and Resistance 6
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- Pharmaceutical and Antibiotic Environmental Impacts 5
- Co-authors
- Thomas P. Van Boeckel (1 shared paper)Francesco Nicolli (3 shared papers)Alejandro Acosta (3 shared papers)Giuseppina Cinardi (1 shared paper)Jorge Pinto Ferreira (3 shared papers)Alejandro García (2 shared papers)Jeffrey T. LeJeune (1 shared paper)Yu Qiu (2 shared papers)
- Journals
- Frontiers in Veterinary Science (2 papers)Nature Communications (1 paper)Frontiers in Public Health (1 paper)Advances in experimental medicine and biology (1 paper)One Health (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Junxia Song
17 papers receiving 194 citations
Junxia Song's Hit Papers
Peers
Comparison fields: 5 of 67
- Applied Microbiology and Biotechnology 25
- Virology 35
- Molecular Medicine 19
- Pollution 32
- Infectious Diseases 29
Countries citing papers authored by Junxia Song
This map shows the geographic impact of Junxia Song'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 Junxia Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Song more than expected).
Fields of papers citing papers by Junxia Song
This network shows the impact of papers produced by Junxia Song. 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 Junxia Song. The network helps show where Junxia Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxia Song, 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 | The future of antibiotic use in livestock Hit paper breakdown → | 2025 | 42 |
| 2 | 2022 | 41 | |
| 3 | 2022 | 35 | |
| 4 | 2023 | 18 | |
| 5 | 2024 | 15 | |
| 6 | 2020 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2026 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2026 | 0 |
About Junxia Song
Junxia Song is a scholar working on Applied Microbiology and Biotechnology, Pollution, Public Health, Environmental and Occupational Health, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 199 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Insect and Pesticide Research (4 papers), Zoonotic diseases and public health (3 papers), Plant and animal studies (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (25 citations), Virology (35 citations), Molecular Medicine (19 citations), Pollution (32 citations) and Infectious Diseases (29 citations). Junxia Song has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Thomas P. Van Boeckel, Francesco Nicolli, Alejandro Acosta, Giuseppina Cinardi, Jorge Pinto Ferreira, Alejandro García, Jeffrey T. LeJeune, Yu Qiu, Sarah Cahill and Mark A. Caudell. Their work appears in journals such as Frontiers in Veterinary Science, Nature Communications, Frontiers in Public Health, Advances in experimental medicine and biology and One Health.
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.