Ismail Daoud

809 citations
44 papers · 601 · h-index 14

Impact in

Papers in

    • Synthesis and biological activity 17
    • Synthesis and Characterization of Heterocyclic Compounds 7
    • Synthesis and Biological Evaluation 6
    • Multicomponent Synthesis of Heterocycles 5
    • Computational Drug Discovery Methods 15

Ismail Daoud

43 papers receiving 598 citations

Peers

Ismail Daoud
Comparison fields: 5 of 79
  • Organic Chemistry 276
  • Computational Theory and Mathematics 140
  • Toxicology 26
  • Drug Discovery 1
  • Biochemistry 34
Replace Asmaa M. AboulMagd with:
Asmaa M. AboulMagd Egypt
M. Qaiser Fatmi Pakistan
Mohamed A. M. Gad‐Elkareem Egypt
Mohd Fadhlizil Fasihi Mohd Aluwi Malaysia
Mehreen Ghufran Pakistan
Farshid Hassanzadeh Iran
Tripti Sharma India
Mohammed Aziz Ajana Morocco
Milkyas Endale Ethiopia
Aso Hameed Hasan Iraq
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Citations per field
00.5×1.5×1.9×
Asmaa M. AboulMagd · 1×
Citations per year

Countries citing papers authored by Ismail Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Ismail Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 202053
3 201652
4 202139
5 202139
6 202230
7 201923
8 202222
9 202221
10 201818
11 202118
12 202117
13 202316
14 202113
15 202212
16 202311
17 202310
18 20239
19 20248
20 20228

About Ismail Daoud

Ismail Daoud is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Pharmacology, Molecular Biology and Oncology, having authored 44 papers that have together received 601 indexed citations. Recurring topics across this work include Synthesis and biological activity (17 papers), Computational Drug Discovery Methods (15 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Synthesis and Characterization of Heterocyclic Compounds (7 papers), Synthesis and Biological Evaluation (6 papers), Multicomponent Synthesis of Heterocycles (5 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Metal complexes synthesis and properties (4 papers). The work is most often cited by research in Organic Chemistry (276 citations), Computational Theory and Mathematics (140 citations), Toxicology (26 citations), Drug Discovery (1 citation) and Biochemistry (34 citations). Ismail Daoud has collaborated with scholars based in Algeria, Saudi Arabia and Tunisia. Frequent co-authors include Saïd Ghalem, Ahmed N. Al‐Hakimi, Fahad M. Alminderej, Kannupal Srinivasan, L. C. Pathak, Sarra Boudriga, Noureddine Choukchou‐Braham, Abuzar E. A. E. Albadri, Michael Knorr and Salah Belaıdı. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecules, ACS Omega, ChemMedChem and Bioorganic & Medicinal Chemistry.

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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