Razika Hussein
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
-
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 7
- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
- Genetics 9
- Bacterial Genetics and Biotechnology 7
- Evolution and Genetic Dynamics 2
- Co-authors
- Han N. Lim (7 shared papers)Yeong Yeh Lee (1 shared paper)Lusha W. Liang (2 shared papers)Shiori Sagawa (2 shared papers)Hong Ngee Lim (2 shared papers)Jung-Eun Shin (2 shared papers)Weston Stauffer (1 shared paper)Huanjie Sheng (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Proceedings of the National Academy of Sciences (2 papers)Communications Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Nature Communications (1 paper)
- Partner nations
- United States
In The Last Decade
Razika Hussein
11 papers receiving 459 citations
Peers
Comparison fields: 5 of 67
- Genetics 224
- Molecular Biology 412
- Ecology 112
- Endocrinology 21
- Biotechnology 19
Countries citing papers authored by Razika Hussein
This map shows the geographic impact of Razika Hussein'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 Razika Hussein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Razika Hussein more than expected).
Fields of papers citing papers by Razika Hussein
This network shows the impact of papers produced by Razika Hussein. 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 Razika Hussein. The network helps show where Razika Hussein may publish in the future.
Co-authors
The 24 scholars most cited alongside Razika Hussein, 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 | 2011 | 159 | |
| 2 | 2010 | 114 | |
| 3 | 2012 | 79 | |
| 4 | 2012 | 32 | |
| 5 | 2020 | 17 | |
| 6 | 2017 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 2014 | 16 | |
| 9 | 2012 | 8 | |
| 10 | 2015 | 7 | |
| 11 | 2020 | 2 |
About Razika Hussein
Razika Hussein is a scholar working on Molecular Biology, Genetics, Ecology, Biophysics and Infectious Diseases, having authored 11 papers that have together received 467 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers), Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Genetics (224 citations), Molecular Biology (412 citations), Ecology (112 citations), Endocrinology (21 citations) and Biotechnology (19 citations). Razika Hussein has collaborated with scholars based in United States. Frequent co-authors include Han N. Lim, Yeong Yeh Lee, Lusha W. Liang, Shiori Sagawa, Hong Ngee Lim, Jung-Eun Shin, Weston Stauffer, Huanjie Sheng, Michelle Hung and Katya Frazier. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Communications Biology, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Nature Communications.
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.