Ayome Abibi

406 citations
11 papers · 344 · h-index 8

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Receptor Mechanisms and Signaling 2
    • Ubiquitin and proteasome pathways 1
    • Sphingolipid Metabolism and Signaling 1
    • RNA Interference and Gene Delivery 1
    • Multiple Myeloma Research and Treatments 2

Ayome Abibi

10 papers receiving 324 citations

Peers

Ayome Abibi
Comparison fields: 5 of 70
  • Inorganic Chemistry 122
  • Mechanical Engineering 103
  • Molecular Biology 150
  • Catalysis 15
  • Materials Chemistry 75
Replace Matthew C. Chan with:
Matthew C. Chan United States
C.P. Hamel France
Alice Rolland France
Sander Vandenhaute Belgium
Tomoko Shimada Japan
Wenli Du China
Huanhuan Tan China
Yiyang Zhang China
Tingwei Ren United States
Xue‐Ting Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Ayome Abibi

Since Specialization
Citations

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

Fields of papers citing papers by Ayome Abibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2001154
2 201345
3 201543
4 200429
5 201425
6 202119
7 201115
8 20239
9 20034
10 20121
11 20260

About Ayome Abibi

Ayome Abibi is a scholar working on Molecular Biology, Hematology, Sensory Systems, Molecular Medicine and Catalysis, having authored 11 papers that have together received 344 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers), Multiple Myeloma Research and Treatments (2 papers), Ubiquitin and proteasome pathways (1 paper), Sphingolipid Metabolism and Signaling (1 paper), RNA Interference and Gene Delivery (1 paper), Olfactory and Sensory Function Studies (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Inorganic Chemistry (122 citations), Mechanical Engineering (103 citations), Molecular Biology (150 citations), Catalysis (15 citations) and Materials Chemistry (75 citations). Ayome Abibi has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Dionisios G. Vlachos, Vladimiros A. Nikolakis, George Xomeritakis, Michael Tsapatsis, Maxim D. Frank‐Kamenetskii, Vadim V. Demidov, Ekaterina Protozanova, Ning Gao, David C. McKinney and Laurel I. Hajec. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Membrane Science, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and ACS Medicinal Chemistry Letters.

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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