Runxia Lv
Impact in
- Endocrinology top 10%
- 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
- Co-authors
- Lingyan Jiang (9 shared papers)Peisheng Wang (6 shared papers)Xiaorui Song (6 shared papers)Lu Feng (3 shared papers)Di Huang (4 shared papers)Shuangshuang Ma (3 shared papers)Xiaoqian Liu (3 shared papers)Jingting Wang (2 shared papers)
- Journals
- Nature Communications (1 paper)Research in Microbiology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Basic Microbiology (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Runxia Lv
9 papers receiving 372 citations
Runxia Lv's Hit Papers
Peers
Comparison fields: 5 of 102
- Endocrinology 63
- Food Science 104
- Molecular Medicine 25
- Biotechnology 25
- Infectious Diseases 38
Countries citing papers authored by Runxia Lv
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Salmonella Typhimurium reprograms macrophage metabolism via T3SS effector SopE2 to promote intracellular replication and virulence Hit paper breakdown → | 2021 | 297 |
| 2 | 2019 | 13 | |
| 3 | 2019 | 13 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 11 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 3 |
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 374 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 (63 citations), Food Science (104 citations), Molecular Medicine (25 citations), Biotechnology (25 citations) and Infectious Diseases (38 citations). Runxia Lv has collaborated with scholars based in China, United States and France. Frequent co-authors include Lingyan Jiang, Peisheng Wang, Xiaorui Song, Lu Feng, Di Huang, Shuangshuang Ma, Xiaoqian Liu, Jingting Wang, Huan Zhang and Shuai Ma. Their work appears in journals such as Nature Communications, Research in Microbiology, Biochemical and Biophysical Research Communications, Journal of Basic Microbiology and Cellular 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.