Runxia Lv

464 citations
9 papers · 348 · 1 hit paper · h-index 7

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Food Science top 10%
    • Salmonella and Campylobacter epidemiology

Papers in

    • Salmonella and Campylobacter epidemiology 9
    • Vibrio bacteria research studies 8
    • Escherichia coli research studies 3

Runxia Lv

9 papers receiving 347 citations

Runxia Lv's Hit Papers

Salmonella Typhimurium reprograms macrophage metabolism via T3SS effector SopE2 to promote intracellular replication and virulence 2021 · 278 citations
2780+1+3Years since publication50100150200250

Peers

Runxia Lv
Comparison fields: 5 of 105
  • Endocrinology 57
  • Food Science 95
  • Molecular Medicine 25
  • Biotechnology 24
  • Infectious Diseases 37
Replace Mickaël Castelain with:
Mickaël Castelain France
Ilia Gelfat United States
Assaf Katz Chile
Lisa Bowman United Kingdom
Akiko Hamamoto Japan
Yongrui Li China
Matthew J. McGuffie United States
Paul H. Demchick United States
Gyanendra P. Dubey India
Yahui Du China
Runxia Lv relative to Mickaël Castelain France Mickaël Castelain's profile →
Citations per field
00.5×3.9×
Mickaël Castelain · 1×
Citations per year

Countries citing papers authored by Runxia Lv

Since Specialization
Citations

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

Fields of papers citing papers by Runxia Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Salmonella Typhimurium reprograms macrophage metabolism via T3SS effector SopE2 to promote intracellular replication and virulence
Hit paper breakdown →
2021278
2 201912
3 201912
4 201911
5 20199
6 20189
7 20198
8 20196
9 20193

About Runxia Lv

Runxia Lv is a scholar working on Food Science, Endocrinology, Nutrition and Dietetics, Genetics and Infectious Diseases, having authored 9 papers that have together received 348 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Vibrio bacteria research studies (8 papers), Trace Elements in Health (4 papers), Escherichia coli research studies (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Endocrinology (57 citations), Food Science (95 citations), Molecular Medicine (25 citations), Biotechnology (24 citations) and Infectious Diseases (37 citations). Runxia Lv has collaborated with scholars based in China, France and United States. Frequent co-authors include Lingyan Jiang, Xiaorui Song, Peisheng Wang, Di Huang, Shuangshuang Ma, Lu Feng, Xiaoqian Liu, Jingting Wang, Huan Zhang and Zhihui Cheng. Their work appears in journals such as Microbial Pathogenesis, Nature Communications, Future Microbiology, Journal of Basic Microbiology and International Journal of Molecular Sciences.

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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