Meiru Si
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 23
- Redox biology and oxidative stress 12
- Microbial metabolism and enzyme function 7
- Genomics and Phylogenetic Studies 7
- Genetics 10
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Xihui Shen (30 shared papers)Yao Wang (11 shared papers)Chengchuan Che (18 shared papers)Chao Zhao (5 shared papers)Ge Yang (14 shared papers)Dawei Wei (3 shared papers)Tao Dong (2 shared papers)Zhijin Gong (12 shared papers)
- Journals
- Microbial Cell Factories (6 papers)The Journal of General and Applied Microbiology (6 papers)PLoS ONE (4 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (4 papers)Biochemical Journal (4 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Meiru Si
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Endocrinology 278
- Molecular Medicine 140
- Molecular Biology 870
- Biotechnology 108
- Genetics 250
Countries citing papers authored by Meiru Si
This map shows the geographic impact of Meiru Si'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 Meiru Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiru Si more than expected).
Fields of papers citing papers by Meiru Si
This network shows the impact of papers produced by Meiru Si. 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 Meiru Si. The network helps show where Meiru Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiru Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 194 | |
| 2 | 2015 | 161 | |
| 3 | 2017 | 92 | |
| 4 | 2013 | 80 | |
| 5 | 2019 | 76 | |
| 6 | 2015 | 44 | |
| 7 | 2015 | 42 | |
| 8 | 2013 | 42 | |
| 9 | 2015 | 40 | |
| 10 | 2019 | 32 | |
| 11 | 2018 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2016 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2015 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 2020 | 23 |
About Meiru Si
Meiru Si is a scholar working on Molecular Biology, Genetics, Biotechnology, Plant Science and Biomedical Engineering, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (23 papers), Redox biology and oxidative stress (12 papers), Bacterial Genetics and Biotechnology (9 papers), Microbial metabolism and enzyme function (7 papers), Genomics and Phylogenetic Studies (7 papers), Biofuel production and bioconversion (7 papers), Biochemical and biochemical processes (6 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Endocrinology (278 citations), Molecular Medicine (140 citations), Molecular Biology (870 citations), Biotechnology (108 citations) and Genetics (250 citations). Meiru Si has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Xihui Shen, Yao Wang, Chengchuan Che, Chao Zhao, Ge Yang, Dawei Wei, Tao Dong, Zhijin Gong, Lei Zhang and Tao Su. Their work appears in journals such as Microbial Cell Factories, The Journal of General and Applied Microbiology, PLoS ONE, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Biochemical Journal.
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.