Razika Hussein

620 total citations
11 papers, 467 citations indexed

About

Razika Hussein is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Razika Hussein has authored 11 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Ecology. Recurrent topics in Razika Hussein's work include Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (5 papers). Razika Hussein is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (5 papers). Razika Hussein collaborates with scholars based in United States. Razika Hussein's co-authors include Han N. Lim, Yeong Yeh Lee, Lusha W. Liang, Jung-Eun Shin, ‬Hong Ngee Lim, Shiori Sagawa, Weston Stauffer, Huanjie Sheng, Katya Frazier and Michelle Hung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Razika Hussein

11 papers receiving 459 citations

Peers

Razika Hussein

MB

GENET

ECOLO

BE

ENDOC

Karolina Makiela‐Dzbenska Poland

Chang Soo Hong Japan

Christopher R. Reisch United States

Jessica C. Zweers Netherlands

Mingzhi Liang United Kingdom

Trond Erik Vee Aune Norway

Hung Nguyen United States

Roxana Malpica Mexico

Sergey V. Mashko Russia

Sudhanshu Dole Germany

Karolina Makiela‐Dzbenska Poland

Razika Hussein

308 ×0.7

MB

169 ×0.8

GENET

79 ×0.7

ECOLO

19 ×0.4

BE

41 ×2.0

ENDOC

Citations per year, relative to Razika Hussein Razika Hussein (= 1×) peers Karolina Makiela‐Dzbenska

Countries citing papers authored by Razika Hussein

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Razika Hussein

This figure shows the co-authorship network connecting the top 25 collaborators of Razika Hussein. A scholar is included among the top collaborators of Razika Hussein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Razika Hussein. Razika Hussein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

O’Huallachain, Maeve, Felice-Alessio Bava, Mary Shen, et al.. (2020). Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis. Communications Biology. 3(1). 213–213. 17 indexed citations

2.

O’Huallachain, Maeve, Felice-Alessio Bava, Mary Shen, et al.. (2020). Author Correction: Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis. Communications Biology. 3(1). 279–279. 2 indexed citations

3.

Sheng, Huanjie, et al.. (2017). Nucleoid and cytoplasmic localization of small RNAs inEscherichia coli. Nucleic Acids Research. 45(5). gkx023–gkx023. 17 indexed citations

4.

Sagawa, Shiori, Jung-Eun Shin, Razika Hussein, & ‬Hong Ngee Lim. (2015). Paradoxical suppression of small RNA activity at high Hfq concentrations due to random-order binding. Nucleic Acids Research. 43(17). 8502–8515. 16 indexed citations

5.

Hussein, Razika, et al.. (2015). Quantitative characterization of gene regulation by Rho dependent transcription termination. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(8). 940–954. 7 indexed citations

6.

Hung, Michelle, Razika Hussein, Katya Frazier, et al.. (2014). Modulating the frequency and bias of stochastic switching to control phenotypic variation. Nature Communications. 5(1). 4574–4574. 16 indexed citations

7.

Hussein, Razika, et al.. (2012). Regulatory consequences of gene translocation in bacteria. Nucleic Acids Research. 40(18). 8979–8992. 79 indexed citations

8.

Liang, Lusha W., et al.. (2012). Minimal Effect of Gene Clustering on Expression inEscherichia coli. Genetics. 193(2). 453–465. 8 indexed citations

9.

Hussein, Razika & Han N. Lim. (2012). Direct comparison of small RNA and transcription factor signaling. Nucleic Acids Research. 40(15). 7269–7279. 32 indexed citations

10.

Lim, Han N., Yeong Yeh Lee, & Razika Hussein. (2011). Fundamental relationship between operon organization and gene expression. Proceedings of the National Academy of Sciences. 108(26). 10626–10631. 159 indexed citations

11.

Hussein, Razika & Han N. Lim. (2010). Disruption of small RNA signaling caused by competition for Hfq. Proceedings of the National Academy of Sciences. 108(3). 1110–1115. 114 indexed citations

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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