Mohamed Elsayed

620 citations
20 papers · 430 · h-index 11

Impact in

  • Toxicology top 10%
    • Catalytic C–H Functionalization Methods
    • Synthesis and biological activity
    • Synthesis and Catalytic Reactions
    • Synthesis and Biological Evaluation

Papers in

    • Cancer therapeutics and mechanisms 7
    • DNA and Nucleic Acid Chemistry 2
    • Advanced biosensing and bioanalysis techniques 2
    • Synthesis and biological activity 6
    • Click Chemistry and Applications 2

Mohamed Elsayed

19 papers receiving 428 citations

Peers

Mohamed Elsayed
Comparison fields: 5 of 53
  • Toxicology 26
  • Organic Chemistry 213
  • Molecular Biology 217
  • Oncology 57
  • Cancer Research 26
Replace Honghao Sun with:
Honghao Sun China
Yu-Ling Leu Taiwan
Xian-Wei Ye China
Yong‐Cheng Ma China
Filippo Prencipe Italy
Yoshiaki Washio United Kingdom
Ali Nakhi India
Christine Bal-Mahieu France
Rajesh Kakadiya Taiwan
Chander Singh Digwal India
Mohamed Elsayed relative to Honghao Sun China Honghao Sun's profile →
Citations per field
00.5×1.5×1.9×
Honghao Sun · 1×
Citations per year

Countries citing papers authored by Mohamed Elsayed

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Elsayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201983
2 201745
3 201645
4 201242
5 202239
6 201833
7 201732
8 201826
9 201823
10 201817
11 201712
12 20179
13 20126
14 20166
15 20145
16 20124
17 20231
18 20121
19 20181
20 20250

About Mohamed Elsayed

Mohamed Elsayed is a scholar working on Molecular Biology, Organic Chemistry, Toxicology, Oncology and Computational Theory and Mathematics, having authored 20 papers that have together received 430 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (7 papers), Synthesis and biological activity (6 papers), Bioactive Compounds and Antitumor Agents (6 papers), Computational Drug Discovery Methods (3 papers), Click Chemistry and Applications (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Toxicology (26 citations), Organic Chemistry (213 citations), Molecular Biology (217 citations), Oncology (57 citations) and Cancer Research (26 citations). Mohamed Elsayed has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Mark Cushman, Yves Pommier, Keli Agama, Nanjie Deng, Danzhou Yang, Guanhui Wu, Kai‐Bo Wang, Christophe Marchand, Khaled A. M. Abouzid and Peng‐Cheng Lv. Their work appears in journals such as Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry, Medicinal Chemistry Research, PLoS ONE and Cancer Research.

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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