Junxia Song

492 total citations · 1 hit paper
16 papers, 145 citations indexed

About

Junxia Song is a scholar working on Applied Microbiology and Biotechnology, Pollution and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Junxia Song has authored 16 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Microbiology and Biotechnology, 5 papers in Pollution and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Junxia Song's work include Antibiotic Use and Resistance (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Insect and Pesticide Research (4 papers). Junxia Song is often cited by papers focused on Antibiotic Use and Resistance (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Insect and Pesticide Research (4 papers). Junxia Song collaborates with scholars based in Italy, United States and Switzerland. Junxia Song's co-authors include Thomas P. Van Boeckel, Jorge Pinto Ferreira, Giuseppina Cinardi, Francesco Nicolli, Sarah Cahill, Mark A. Caudell, Jeffrey T. LeJeune, Alejandro García, Yu Qiu and Hua Zhu and has published in prestigious journals such as Nature Communications, Philosophical Transactions of the Royal Society B Biological Sciences and Advances in experimental medicine and biology.

In The Last Decade

Junxia Song

14 papers receiving 140 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The future of antibiotic use in livestock

2025 23 citations Francesco Nicolli, Thomas P. Van Boeckel et al. Nature Communications profile →

Peers

Junxia Song

PHEOH

VIROL

POLLU

AMB

Musa Sekamatte Uganda

Trần Thị Bích Chiêu United Kingdom

Samuel M. Njoroge Kenya

Katharina Klohe United Kingdom

Giulia Cagnoli Italy

Hanna Woksepp Sweden

Tessa de Block Belgium

Syed Moinuddin Satter Bangladesh

Christoph Winckler United States

Fernando Bula-Rudas United States

Musa Sekamatte Uganda

Junxia Song

54 ×1.6

92 ×3.0

PHEOH

13 ×0.5

VIROL

17 ×0.7

POLLU

35 ×1.6

AMB

Citations per year, relative to Junxia Song Junxia Song (= 1×) peers Musa Sekamatte

Countries citing papers authored by Junxia Song

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Junxia Song

This figure shows the co-authorship network connecting the top 25 collaborators of Junxia Song. A scholar is included among the top collaborators of Junxia Song 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 Junxia Song. Junxia Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Ouoba, L.I.I., Nicolas Keck, Beatrice Mouillé, et al.. (2025). Building capacities in Sub-Saharan African countries for antimicrobial resistance surveillance in the food and agriculture sectors using the FAO ATLASS tool. Frontiers in Veterinary Science. 12. 1607013–1607013.

Nicolli, Francesco, et al.. (2025). The future of antibiotic use in livestock. Nature Communications. 16(1). 2469–2469. 23 indexed citations breakdown →

Nicolli, Francesco, et al.. (2025). A One Health framework to assess the economic returns on investment in livestock antimicrobial stewardship. One Health. 21. 101188–101188.

Qiu, Yu, et al.. (2024). Assessment of the Implementation of Pakistan’s National Action Plan on Antimicrobial Resistance in the Agriculture and Food Sectors. Antibiotics. 13(3). 206–206. 11 indexed citations

Newmark, Adam J., et al.. (2024). A Comprehensive Analysis of Beekeeping Risks and Validation of Biosecurity Measures against Major Infectious Diseases in Apis mellifera in Europe. Agriculture. 14(3). 393–393. 2 indexed citations

Zhang, Guangzhi, Pascal Boireau, Yinghui Zhang, et al.. (2024). Modern agriculture and One Health. Infectious Diseases of Poverty. 13(1). 74–74. 3 indexed citations

Qiu, Yu, Javier Guitián, Joanne P. Webster, et al.. (2023). Global prioritization of endemic zoonotic diseases for conducting surveillance in domestic animals to protect public health. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1887). 20220407–20220407. 15 indexed citations

Keck, Nicolas, Gwenae͏̈lle Dauphin, Alejandro Dorado-García, et al.. (2023). A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors. Frontiers in Veterinary Science. 9. 1057040–1057040. 1 indexed citations

Weese, J. Scott, Bruno González‐Zorn, Laura Y. Hardefeldt, et al.. (2022). Governance Processes and Challenges for Reservation of Antimicrobials Exclusively for Human Use and Restriction of Antimicrobial Use in Animals. The Journal of Law Medicine & Ethics. 50(S2). 55–63. 3 indexed citations

10.

Ferreira, Jorge Pinto, Alejandro García, Mark A. Caudell, et al.. (2022). Achieving Antimicrobial Stewardship on the Global Scale: Challenges and Opportunities. Microorganisms. 10(8). 1599–1599. 31 indexed citations

11.

Newmark, Adam J., et al.. (2022). Results of an International Survey for Risk Assessment of Honey Bee Health Concerning Varroa Management. Applied Sciences. 13(1). 62–62. 8 indexed citations

12.

Wallace, Ryan M., Katinka De Balogh, Junxia Song, et al.. (2022). United Against Rabies Forum: The One Health Concept at Work. Frontiers in Public Health. 10. 854419–854419. 28 indexed citations

13.

Li, Qin, Robert Bergquist, Liz Grant, et al.. (2022). Consideration of COVID-19 beyond the human-centred approach of prevention and control: the ONE-HEALTH perspective. Emerging Microbes & Infections. 11(1). 2520–2528. 6 indexed citations

14.

Yu, Lina, Edgar Hassler, Adam J. Newmark, et al.. (2021). Impact of Legislation on Antibiotic Use and Awareness of Beekeepers. Journal of Apicultural Science. 65(2). 265–277. 3 indexed citations

15.

Wang, Qiuli, et al.. (2021). Effect of Hypothermia on Serum Myelin Basic Protein and Tumor Necrosis Factor–α in Neonatal Hypoxic-Ischemic Encephalopathy. American Journal of Perinatology. 39(12). 1367–1374. 3 indexed citations

16.

He, Jianfeng, Yanhong Luo, Junxia Song, Tao Tan, & Hua Zhu. (2020). Non-coding RNAs and Pathological Cardiac Hypertrophy. Advances in experimental medicine and biology. 1229. 231–245. 8 indexed citations

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.

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