Runshi Yang

995 citations
31 papers · 774 indexed · h-index 15

Impact in

    • Antibiotic Resistance in Bacteria
    • Enterobacteriaceae and Cronobacter Research
    • Escherichia coli research studies

Papers in

Runshi Yang

30 papers receiving 768 citations

Peers

Runshi Yang
Comparison fields: 5 of 71
  • Molecular Medicine 553
  • Endocrinology 221
  • Pollution 248
  • Food Science 175
  • Pharmacology 109
Replace Ya-Hong Liu with:
Ya-Hong Liu China
Lan‐Lan Zhong China
Lianwei Ye Hong Kong
Vijaya Bharathi Srinivasan India
Jennifer L. Cottell United Kingdom
Isidro García‐Meniño Spain
Maria Karczmarczyk Ireland
Jesús Machuca Spain
Joseane Cristina Ferreira Brazil
Kaichao Chen Hong Kong
Runshi Yang relative to Ya-Hong Liu China Ya-Hong Liu's profile →
Citations per field
00.5×1.5×
Ya-Hong Liu · 1×
Citations per year

Countries citing papers authored by Runshi Yang

Since Specialization
Citations

This map shows the geographic impact of Runshi Yang'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 Runshi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runshi Yang more than expected).

Fields of papers citing papers by Runshi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runshi Yang. 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 Runshi Yang. The network helps show where Runshi Yang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Runshi Yang, 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 Runshi Yang Line = papers co-authored together Runshi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 202313
4 202311
5 20235
6 20238
7 202218
8 202218
9 20224
10 20225
11 202216
12 202118
13 20217
14 202113
15 20217
16 201813
17 201713
18 2017108
19 2016118
20 201512

About Runshi Yang

Runshi Yang is a scholar working on Molecular Medicine, Endocrinology, Pollution, Food Science and Ecology, having authored 31 papers that have together received 774 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Bacteriophages and microbial interactions (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Salmonella and Campylobacter epidemiology (5 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Gut microbiota and health (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Molecular Medicine (553 citations), Endocrinology (221 citations), Pollution (248 citations), Food Science (175 citations) and Pharmacology (109 citations). Runshi Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Sun, Xiao‐Ping Liao, Liang‐Xing Fang, Youjun Feng, Yahong Liu, Jing Xia, Xing‐Ping Li, Ya-Hong Liu, Shumin Li and Zuowei Wu. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Frontiers in Microbiology, Antimicrobial Agents and Chemotherapy, Frontiers in Cellular and Infection Microbiology and International Journal of Food Microbiology.

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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