Junxia Song

14 papers receiving 140 citations

Junxia Song's Hit Papers

The future of antibiotic use in livestock 2025 · 23 citations
230Years since publication5101520

Peers

Junxia Song
Comparison fields: 5 of 67
  • Applied Microbiology and Biotechnology 22
  • Virology 28
  • Molecular Medicine 18
  • Pollution 25
  • Infectious Diseases 33
Replace Musa Sekamatte with:
Musa Sekamatte Uganda
Katharina Klohe United Kingdom
Giulia Cagnoli Italy
Trần Thị Bích Chiêu United Kingdom
Syed Moinuddin Satter Bangladesh
Hanna Woksepp Sweden
Samuel M. Njoroge Kenya
Agus Rachmat Cambodia
Peihan Li China
Tessa de Block Belgium
Junxia Song relative to Musa Sekamatte Uganda Musa Sekamatte's profile →
Citations per field
00.5×1.5×2.2×
Musa Sekamatte · 1×
Citations per year

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-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.

Border = papers with Junxia Song Line = papers co-authored together Junxia Song links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202231
2 202228
3
The future of antibiotic use in livestock
Hit paper breakdown →
202523
4 202315
5 202411
6 20228
7 20208
8 20226
9 20223
10 20243
11 20213
12 20213
13 20242
14 20231
15 20250
16 20250

About Junxia Song

Junxia Song is a scholar working on Applied Microbiology and Biotechnology, Pollution, Public Health, Environmental and Occupational Health, Insect Science and Infectious Diseases, having authored 16 papers that have together received 145 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 (4 papers), Plant and animal studies (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (22 citations), Virology (28 citations), Molecular Medicine (18 citations), Pollution (25 citations) and Infectious Diseases (33 citations). Junxia Song has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Francesco Nicolli, Jorge Pinto Ferreira, Thomas P. Van Boeckel, Giuseppina Cinardi, Mark A. Caudell, Alejandro García, Sarah Cahill, Yu Qiu, Jeffrey T. LeJeune and Hua Zhu. Their work appears in journals such as Frontiers in Veterinary Science, One Health, The Journal of Law Medicine & Ethics, Advances in experimental medicine and biology and Nature Communications.

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.

Explore authors with similar magnitude of impact