Shaimaa Hussein

634 citations
29 papers · 463 · h-index 13

Impact in

Papers in

Shaimaa Hussein

27 papers receiving 461 citations

Peers

Shaimaa Hussein
Comparison fields: 5 of 84
  • Sensory Systems 41
  • Biochemistry 40
  • Cancer Research 42
  • Organic Chemistry 80
  • Molecular Biology 184
Replace Tomomi Hosono‐Fukao with:
Tomomi Hosono‐Fukao Japan
Dong‐Seok Kim South Korea
Hyo‐Soon Jeong South Korea
Hiroki Satooka Japan
Jingjing Ling China
J. Antoni Sirerol Spain
Nityanand Maddodi United States
Weihuan Huang China
Sun‐Bang Kwon South Korea
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Citations per field
00.5×4.9×
Tomomi Hosono‐Fukao · 1×
Citations per year

Countries citing papers authored by Shaimaa Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Shaimaa Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2 202048
3 202046
4 201836
5 202130
6 201229
7 201824
8 201121
9 202219
10 201616
11 201515
12 201513
13 202013
14 201311
15 202110
16
Characterization of human septic sera induced gene expression modulation in human myocytes.
200910
17 20218
18 20158
19 20257
20 20247

About Shaimaa Hussein

Shaimaa Hussein is a scholar working on Molecular Biology, Genetics, Electrical and Electronic Engineering, Organic Chemistry and Pharmacology, having authored 29 papers that have together received 463 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (5 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced MIMO Systems Optimization (3 papers), Biomedical Research and Pathophysiology (2 papers), Vehicle License Plate Recognition (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Ion Channels and Receptors (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Sensory Systems (41 citations), Biochemistry (40 citations), Cancer Research (42 citations), Organic Chemistry (80 citations) and Molecular Biology (184 citations). Shaimaa Hussein has collaborated with scholars based in Saudi Arabia, Canada and Egypt. Frequent co-authors include Xing‐Zhen Chen, Wang Zheng, Jungwoo Yang, Mohammad M. Al‐Sanea, Jingfeng Tang, Mohammed S. Almuhayawi, Soad K. Al Jaouni, Samy Selim, Hamada AbdElgawad and Amr Elkelish. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Cancers, Cell Reports and The FASEB 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.

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