Laila El‐Sayed

31 papers receiving 598 citations

Peers

Laila El‐Sayed
Comparison fields: 5 of 77
  • Molecular Medicine 97
  • Microbiology 80
  • Endocrinology 49
  • Oncology 214
  • Inorganic Chemistry 122
Replace Suvash Chandra Ojha with:
Suvash Chandra Ojha China
H.‐U. SCHUSTER Germany
Jarosław Król Poland
Tomohiro Shirai Japan
Alexandre G. Blanco Spain
Mostafa F. N. Abushahba Egypt
Hein‐Peter Kroll Germany
Weimin Mao United States
Jennifer C. Wilson Australia
Shuangshuang Yang China
Laila El‐Sayed relative to Suvash Chandra Ojha China Suvash Chandra Ojha's profile →
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Citations per year

Countries citing papers authored by Laila El‐Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Laila El‐Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laila El‐Sayed. 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 Laila El‐Sayed. The network helps show where Laila El‐Sayed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201173
2 201355
3 201654
4 200354
5 201646
6 201638
7 200537
8 199827
9 200822
10 198022
11 197921
12 197720
13 196720
14 201217
15 198315
16 196714
17 197912
18 198211
19 19999
20 20179

About Laila El‐Sayed

Laila El‐Sayed is a scholar working on Oncology, Organic Chemistry, Inorganic Chemistry, Electronic, Optical and Magnetic Materials and Molecular Medicine, having authored 33 papers that have together received 627 indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (15 papers), Synthesis and Characterization of Heterocyclic Compounds (7 papers), Organometallic Compounds Synthesis and Characterization (5 papers), Crystal structures of chemical compounds (5 papers), Magnetism in coordination complexes (5 papers), Antibiotic Resistance in Bacteria (4 papers), Escherichia coli research studies (4 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (97 citations), Microbiology (80 citations), Endocrinology (49 citations), Oncology (214 citations) and Inorganic Chemistry (122 citations). Laila El‐Sayed has collaborated with scholars based in Egypt, Germany and United States. Frequent co-authors include Tarek A. Ahmad, Magdi F. Iskander, Medhat Haroun, Nahed M.H. Salem, Salah A. Sheweita, Ronald O. Ragsdale, El Sayed H. El Ashry, Ahmed Hussein, W. Haase and Ahmed El-Toukhy. Their work appears in journals such as Transition Metal Chemistry, Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Polyhedron, Inorganic Chemistry and Energy & Fuels.

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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