Amine Cheikh

1.2k citations
57 papers · 786 · 1 hit paper · h-index 11

Impact in

Papers in

Amine Cheikh

48 papers receiving 768 citations

Amine Cheikh's Hit Papers

Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19 2020 · 362 citations
3620+2+4Years since publication100200300

Peers

Amine Cheikh
Comparison fields: 5 of 108
  • Internal Medicine 69
  • Infectious Diseases 305
  • Neurology 132
  • Hematology 87
  • Analytical Chemistry 66
Replace Gudrun Würthwein with:
Gudrun Würthwein Germany
Yadan Wang China
Susan K. Paulson United States
Marc André France
M. Różalski Poland
Sang Gon Lee South Korea
Kathrin I. Foerster Germany
HJ Rogers United Kingdom
Tripti Singh United States
Amine Cheikh relative to Gudrun Würthwein Germany Gudrun Würthwein's profile →
Citations per field
00.5×4.7×
Gudrun Würthwein · 1×
Citations per year

Countries citing papers authored by Amine Cheikh

Since Specialization
Citations

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

Fields of papers citing papers by Amine Cheikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19
Hit paper breakdown →
2020362
2 2021104
3 202144
4 202028
5 201927
6 202126
7 201621
8 201720
9 202116
10 201814
11 202010
12 20207
13 20217
14 20227
15 20167
16 19987
17 20206
18 20216
19 20185
20 20195

About Amine Cheikh

Amine Cheikh is a scholar working on Analytical Chemistry, Surgery, Oncology, Economics and Econometrics and Infectious Diseases, having authored 57 papers that have together received 786 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Pharmaceutical Economics and Policy (5 papers), Safe Handling of Antineoplastic Drugs (4 papers), COVID-19 Clinical Research Studies (4 papers), Analytical Methods in Pharmaceuticals (4 papers), Pharmaceutical studies and practices (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Gastroesophageal reflux and treatments (2 papers). The work is most often cited by research in Internal Medicine (69 citations), Infectious Diseases (305 citations), Neurology (132 citations), Hematology (87 citations) and Analytical Chemistry (66 citations). Amine Cheikh has collaborated with scholars based in Morocco, France and Canada. Frequent co-authors include Mustapha Bouatia, Younes Zaid, Louis Flamand, Éric Boilard, Yahia Cherrah, Florian Puhm, Fadila Guessous, A. Benouda, Bouchra Belefquih and Marc‐André Langlois. Their work appears in journals such as BioMed Research International, Journal of AOAC International, Molecules, Value in Health Regional Issues and Neurology and Therapy.

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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