Asmaa Althani

35 papers receiving 1.3k citations

Asmaa Althani's Hit Papers

p53 signaling in cancer progression and therapy 2021 · 370 citations
3700+3+7Years since publication100200300

Peers

Asmaa Althani
Comparison fields: 5 of 124
  • Infectious Diseases 169
  • Bioengineering 46
  • Biomedical Engineering 345
  • Molecular Biology 471
  • Cancer Research 90
Replace Yunji Park with:
Yunji Park South Korea
Xiaoli Zhang China
Jiawei Chen China
Xiaoqin Liu China
Feng Ji China
Nima Hemmat Iran
Rabia Khan United States
Shuliang Guo China
Tak‐Wah Wong Taiwan
Annemarie van Schadewijk Netherlands
Asmaa Althani relative to Yunji Park South Korea Yunji Park's profile →
Citations per field
00.5×1.5×1.9×
Yunji Park · 1×
Citations per year

Countries citing papers authored by Asmaa Althani

Since Specialization
Citations

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

Fields of papers citing papers by Asmaa Althani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microfluidics Integrated Biosensors: A Leading Technology towards Lab-on-a-Chip and Sensing Applications
Hit paper breakdown →
2015391
2
p53 signaling in cancer progression and therapy
Hit paper breakdown →
2021370
3 201590
4 202084
5 201773
6 201762
7 201528
8 202023
9 202017
10 202117
11 202017
12 202115
13 202114
14 202210
15 202110
16 20219
17 20238
18 20248
19 20238
20 20157

About Asmaa Althani

Asmaa Althani is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Physiology and Genetics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Respiratory viral infections research (4 papers), COVID-19 Clinical Research Studies (3 papers), Animal Virus Infections Studies (3 papers), Gut microbiota and health (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Biosensors and Analytical Detection (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Infectious Diseases (169 citations), Bioengineering (46 citations), Biomedical Engineering (345 citations), Molecular Biology (471 citations) and Cancer Research (90 citations). Asmaa Althani has collaborated with scholars based in Qatar, United States and Italy. Frequent co-authors include Hany E. Marei, Carlo Cenciarelli, Hassan A. Aziz, Nahla Afifi, Thomas Caceci, Anwarul Hasan, Giacomo Pozzoli, Andrea Morrione, Antonio Giordano and Gheyath K. Nasrallah. Their work appears in journals such as Journal of Infection and Public Health, Journal of Medical Virology, International Journal of Infectious Diseases, Cancer Cell International and Journal of Cellular Physiology.

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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