Nabil Zaïd

1.1k citations
18 papers · 807 · 1 hit paper · h-index 9

Impact in

Papers in

Nabil Zaïd

16 papers receiving 791 citations

Nabil Zaïd's Hit Papers

Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19 2020 · 361 citations
3610+2+4Years since publication100200300

Peers

Nabil Zaïd
Comparison fields: 5 of 94
  • Internal Medicine 64
  • Infectious Diseases 236
  • Orthopedics and Sports Medicine 77
  • Neurology 113
  • Hematology 83
Replace Clara Di Vito with:
Clara Di Vito Italy
Mingqiang Shen China
Yi Guo China
Yuechun Li China
Chien‐Chung Huang Taiwan
Simon P. Hauser United States
B Baxter United States
X. L. Wang China
Ji Young Kim South Korea
Brian P. McCarthy United States
Nabil Zaïd relative to Clara Di Vito Italy Clara Di Vito's profile →
Citations per field
00.5×5.3×
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Citations per year

Countries citing papers authored by Nabil Zaïd

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Zaïd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19
Hit paper breakdown →
2020361
2
Connective tissue changes and physical properties of developing and ageing skeletal muscle.
1984239
3 202158
4
Connective tissue changes and physical properties of developing and ageing skeletal muscle.
198437
5 201927
6 202117
7 201417
8 202111
9 20189
10 20217
11 20147
12 20174
13 20204
14 20203
15 20223
16 20212
17 20191
18 20230

About Nabil Zaïd

Nabil Zaïd is a scholar working on Hematology, Molecular Biology, Genetics, Infectious Diseases and Oncology, having authored 18 papers that have together received 807 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), COVID-19 Clinical Research Studies (3 papers), Inflammatory Bowel Disease (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Alzheimer's disease research and treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Blood groups and transfusion (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Internal Medicine (64 citations), Infectious Diseases (236 citations), Orthopedics and Sports Medicine (77 citations), Neurology (113 citations) and Hematology (83 citations). Nabil Zaïd has collaborated with scholars based in Morocco, Canada and United States. Frequent co-authors include Majed A. Alnaqeeb, G. Goldspink, Younes Zaid, Loubna Khalki, Youness Limami, Abdallah Naya, Mounia Oudghiri, Éric Boilard, Bouchra Belefquih and Yahia Cherrah. Their work appears in journals such as Seminars in Thrombosis and Hemostasis, Medicine, Neuroscience, Vox Sanguinis and Thrombosis and Haemostasis.

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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