Runshi Yang

1.0k citations
31 papers · 822 · h-index 16

Impact in

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

Papers in

Runshi Yang

31 papers receiving 814 citations

Peers

Runshi Yang
Comparison fields: 5 of 68
  • Molecular Medicine 565
  • Endocrinology 202
  • Pollution 225
  • Food Science 169
  • Applied Microbiology and Biotechnology 14
Replace Lan‐Lan Zhong with:
Lan‐Lan Zhong China
Lianwei Ye Hong Kong
Kaichao Chen Hong Kong
Isidro García‐Meniño Spain
Ivana Jamborová Czechia
Maria Karczmarczyk Ireland
Jennifer L. Cottell United Kingdom
Ibrahim Bitar Czechia
Lizhang Liu China
Joseane Cristina Ferreira Brazil
Runshi Yang relative to Lan‐Lan Zhong China Lan‐Lan Zhong's profile →
Citations per field
00.5×3.6×
Lan‐Lan Zhong · 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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016121
2 2016114
3 2017111
4 201677
5 201743
6 201825
7 202222
8 202221
9 202121
10 201821
11 201920
12 202219
13 202219
14 202117
15 202116
16 202216
17 202314
18 201714
19 201514
20 201814

About Runshi Yang

Runshi Yang is a scholar working on Molecular Medicine, Molecular Biology, Ecology, Food Science and Infectious Diseases, having authored 31 papers that have together received 822 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Bacteriophages and microbial interactions (6 papers), Gut microbiota and health (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Molecular Medicine (565 citations), Endocrinology (202 citations), Pollution (225 citations), Food Science (169 citations) and Applied Microbiology and Biotechnology (14 citations). Runshi Yang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xiao‐Ping Liao, Jian Sun, Liang‐Xing Fang, Youjun Feng, Yahong Liu, Jing Xia, Xing‐Ping Li, Ya-Hong Liu, Zuowei Wu and Shumin Li. Their work appears in journals such as Frontiers in Microbiology, Journal of Antimicrobial Chemotherapy, Frontiers in Cellular and Infection Microbiology, Antimicrobial Agents and Chemotherapy 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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