E. M. E. Mansour

530 total citations
22 papers, 390 citations indexed

About

E. M. E. Mansour is a scholar working on Organic Chemistry, Molecular Biology and Materials Chemistry. According to data from OpenAlex, E. M. E. Mansour has authored 22 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 7 papers in Molecular Biology and 4 papers in Materials Chemistry. Recurrent topics in E. M. E. Mansour's work include Chemical Synthesis and Analysis (7 papers), Chemical Synthesis and Reactions (6 papers) and Inorganic and Organometallic Chemistry (3 papers). E. M. E. Mansour is often cited by papers focused on Chemical Synthesis and Analysis (7 papers), Chemical Synthesis and Reactions (6 papers) and Inorganic and Organometallic Chemistry (3 papers). E. M. E. Mansour collaborates with scholars based in Egypt, United States and Canada. E. M. E. Mansour's co-authors include Louis A. Carpino, Jerome W. Knapczyk, Dumitru Ionescu, Ali El‐Dissouky, A. A. EL‐MAGHRABY, Ralf Warrassꝉ, Ayman El‐Faham, Shin Iguchi, Andrzej Łopusiński and Dean Sadat-Aalaee and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Tetrahedron Letters.

In The Last Decade

E. M. E. Mansour

21 papers receiving 361 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. M. E. Mansour Egypt 12 233 229 54 36 34 22 390
Otilie E. Vercillo Brazil 8 301 1.3× 459 2.0× 23 0.4× 17 0.5× 17 0.5× 11 520
G. SENNYEY France 12 201 0.9× 294 1.3× 27 0.5× 13 0.4× 33 1.0× 25 404
Sorour Ramezanpour Iran 14 172 0.7× 335 1.5× 52 1.0× 9 0.3× 36 1.1× 48 558
Kepa K. Burusco Spain 11 233 1.0× 114 0.5× 45 0.8× 8 0.2× 7 0.2× 19 340
Ian Hughes United Kingdom 11 151 0.6× 187 0.8× 48 0.9× 157 4.4× 40 1.2× 21 480
Peter Steunenberg Netherlands 8 294 1.3× 155 0.7× 112 2.1× 9 0.3× 43 1.3× 15 502
Yonghua Xie China 9 176 0.8× 101 0.4× 76 1.4× 10 0.3× 44 1.3× 16 363
Marta Paradís‐Bas Spain 9 361 1.5× 228 1.0× 20 0.4× 4 0.1× 58 1.7× 12 444
Hongjun Huang China 5 341 1.5× 110 0.5× 64 1.2× 11 0.3× 12 0.4× 7 438
Melanie Trobe Austria 11 231 1.0× 370 1.6× 100 1.9× 6 0.2× 26 0.8× 17 556

Countries citing papers authored by E. M. E. Mansour

Since Specialization
Citations

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

Fields of papers citing papers by E. M. E. Mansour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. M. E. Mansour. 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 E. M. E. Mansour. The network helps show where E. M. E. Mansour may publish in the future.

Co-authorship network of co-authors of E. M. E. Mansour

This figure shows the co-authorship network connecting the top 25 collaborators of E. M. E. Mansour. A scholar is included among the top collaborators of E. M. E. Mansour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. M. E. Mansour. E. M. E. Mansour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Mansour, E. M. E., et al.. (2025). Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines. 87–90. 1 indexed citations
3.
Mansour, E. M. E., et al.. (2024). A Weak Supervision-Based Approach to Improve Chatbots for Code Repositories. Proceedings of the ACM on software engineering.. 1(FSE). 2378–2401. 1 indexed citations
4.
Kalnis, Panos, et al.. (2023). A Universal Question-Answering Platform for Knowledge Graphs. Proceedings of the ACM on Management of Data. 1(1). 1–25. 16 indexed citations
5.
Carpino, Louis A., et al.. (2007). Segment coupling to a highly hindered N-terminal, alamethicin-related α-aminoisobutyric acid (Aib) residue. Tetrahedron Letters. 48(41). 7404–7407. 4 indexed citations
6.
Carpino, Louis A., et al.. (2007). 1,1-Dioxonaphtho[1,2-b]thiophene-2-methyloxycarbonyl (α-Nsmoc) and 3,3-Dioxonaphtho[2,1-b]thiophene-2-methyloxycarbonyl (β-Nsmoc) Amino-Protecting Groups. The Journal of Organic Chemistry. 72(5). 1729–1736. 12 indexed citations
7.
8.
Carpino, Louis A., et al.. (2002). Rapid, Continuous Solution-Phase Peptide Synthesis:  Application to Peptides of Pharmaceutical Interest. Organic Process Research & Development. 7(1). 28–37. 43 indexed citations
9.
El‐Dissouky, Ali, et al.. (2001). Thermal stability of polymer complexes of acryloyl-p-chlorobenzoic hydrazide with some transition metal chlorides and acetates. Polymer Degradation and Stability. 71(2). 267–272. 8 indexed citations
10.
El‐Faham, Ayman, et al.. (2000). Coupling of iminodiacetic acid with amino acid derivatives in solution and solid phase. International Journal of Peptide Research and Therapeutics. 7(6). 331–345. 2 indexed citations
11.
El‐Dissouky, Ali, et al.. (2000). Thermal stability of poly acryloyl benzoic hydrazide and its complexes with some transition metals. Polymer Degradation and Stability. 68(2). 153–158. 34 indexed citations
12.
Khattab, Sherine N., et al.. (2000). Coupling of iminodiacetic acid with amino acid derivatives in solution and solid phase. Letters in Peptide Science. 7(6). 331–345. 2 indexed citations
13.
Carpino, Louis A. & E. M. E. Mansour. (1999). The 2-Methylsulfonyl-3-phenyl-1-prop-2- enyloxycarbonyl (Mspoc)Amino-Protecting Group. The Journal of Organic Chemistry. 64(22). 8399–8401. 14 indexed citations
14.
Carpino, Louis A., E. M. E. Mansour, Shin Iguchi, et al.. (1999). The 1,1-Dioxobenzo[b]thiophene-2-ylmethyloxycarbonyl (Bsmoc) Amino-Protecting Group. The Journal of Organic Chemistry. 64(12). 4324–4338. 55 indexed citations
15.
Carpino, Louis A., E. M. E. Mansour, Shin Iguchi, et al.. (1997). New Family of Base- and Nucleophile-Sensitive Amino-Protecting Groups. A Michael-Acceptor-Based Deblocking Process. Practical Utilization of the 1,1-Dioxobenzo[b]thiophene-2-ylmethyloxycarbonyl (Bsmoc) Group. Journal of the American Chemical Society. 119(41). 9915–9916. 36 indexed citations
16.
Carpino, Louis A., Hann Guang Chao, E. M. E. Mansour, et al.. (1995). Novel Carboxylic Acid and Carboxamide Protective Groups Based on the Exceptional Stabilization of the Cyclopropylmethyl Cation. The Journal of Organic Chemistry. 60(24). 7718–7719. 20 indexed citations
17.
Carpino, Louis A., et al.. (1984). Acid-stable, solvolytically deblocked amino-protecting-groups applications of the 1,3-dibromo-2-methyl-2-propyloxycarbonyl (DB-t-BOC) group. The Journal of Organic Chemistry. 49(5). 836–842. 9 indexed citations
18.
Carpino, Louis A., E. M. E. Mansour, & Jerome W. Knapczyk. (1983). 9-フルオレニルメチルオキシカルボニル:アミノ保護基の脱保護基-除去薬(scanvenging agent)としてのピペラジノ官能基化シリカゲル. The Journal of Organic Chemistry. 48(5). 666–669. 30 indexed citations
19.
Carpino, Louis A., et al.. (1983). Polystyrene-based deblocking-scavenging agents for the 9-fluorenylmethyloxycarbonyl amino-protecting group. The Journal of Organic Chemistry. 48(5). 661–665. 40 indexed citations
20.
Mansour, E. M. E., et al.. (1982). Synthesis and investigation of novel nitropolyamides containing ether bonds in the monomer unit. Journal of Polymer Science Polymer Chemistry Edition. 20(10). 3007–3014. 4 indexed citations

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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