Nassiba Taib

784 citations
6 papers · 449 indexed · 1 hit paper · h-index 6
Topics
Cancer Immunotherapy and Biomarkers (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)COVID-19 Clinical Research Studies (2 papers)

In The Last Decade

Nassiba Taib

6 papers receiving 443 citations

Hit Papers

Emerging COVID-19 variants and their impact on SARS-CoV-2...2022202620232024202250100150200250

Peers

Nassiba Taib
Comparison fields: 5 of 85
  • Infectious Diseases 187
  • Molecular Biology 127
  • Oncology 94
  • Cancer Research 75
  • Immunology 52
Replace Lobna Al-Zaidan with:
Lobna Al-Zaidan Qatar
Dina Moustafa Abo El-Ella Egypt
Hanning Hu China
Lianzi Wang China
Huihui Wang China
Mona Sadeghalvad Iran
Shih-Hwa Chiou Taiwan
Rashmi Rana India
Aline da Rocha Matos Brazil
Xianghua Guo China
Nassiba Taib relative to Lobna Al-Zaidan Qatar Lobna Al-Zaidan's profile →
Citations per field
00.5×1.5×
Lobna Al-Zaidan · 1×
Citations per year

Countries citing papers authored by Nassiba Taib

Since Specialization
Citations

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

Fields of papers citing papers by Nassiba Taib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nassiba Taib

This figure shows the co-authorship network connecting the top 25 collaborators of Nassiba Taib. A scholar is included among the top collaborators of Nassiba Taib 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 Nassiba Taib. Nassiba Taib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 55
2 13
3 26
4
Emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis, therapeutics and vaccinesbreakdown →
261
5 89
6 5

About Nassiba Taib

Nassiba Taib is a scholar working on Oncology, Infectious Diseases and Cancer Research, having authored 6 papers that have together received 449 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (187 citations), Cancer Research (75 citations) and Oncology (94 citations). Nassiba Taib has collaborated with scholars based in Qatar, Switzerland and United Kingdom. Frequent co-authors include Varghese Inchakalody, Said Dermime, Shahab Uddin, Maysaloun Merhi, S Mestiri, Queenie Fernandes, Takwa Bedhiafi, Afsheen Raza, Lobna Al-Zaidan and Dina Moustafa Abo El-Ella. Their work appears in journals such as Life Sciences, Seminars in Cancer Biology and Journal of Experimental & Clinical Cancer Research.

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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