Sameh Eid

887 citations
17 papers · 726 · h-index 11

Impact in

    • Computational Drug Discovery Methods
    • Synthesis and biological activity
    • Synthesis and Characterization of Heterocyclic Compounds
    • Synthesis and Biological Evaluation
    • Structural and Chemical Analysis of Organic and Inorganic Compounds

Papers in

Sameh Eid

17 papers receiving 704 citations

Peers

Sameh Eid
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 221
  • Organic Chemistry 218
  • Spectroscopy 50
  • Endocrinology 12
  • Molecular Biology 154
Replace Chris Phillips with:
Chris Phillips United Kingdom
Yasuyuki Kirii Japan
Stéphane Bourg France
Megan M. Riel-Mehan United States
Nathaniel J. Henning United States
Aras Emdadi United States
Lee Walmsley United Kingdom
Daniel P. Uccello United States
Jeong Hyeon Yoon South Korea
Xiaobo Wan United States
Sameh Eid relative to Chris Phillips United Kingdom Chris Phillips's profile →
Citations per field
00.5×1.5×2×2.5×
Chris Phillips · 1×
Citations per year

Countries citing papers authored by Sameh Eid

Since Specialization
Citations

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

Fields of papers citing papers by Sameh Eid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017261
2 2014125
3 201695
4 201766
5 201533
6 201432
7 201331
8 201623
9 201616
10 201311
11 201811
12 20139
13 20179
14 20141
15 20161
16 20241
17 20241

About Sameh Eid

Sameh Eid is a scholar working on Computational Theory and Mathematics, Hepatology, Organic Chemistry, Endocrinology and Automotive Engineering, having authored 17 papers that have together received 726 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (4 papers), Hepatitis C virus research (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper), Alzheimer's disease research and treatments (1 paper), Synthesis and Biological Evaluation (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (221 citations), Organic Chemistry (218 citations), Spectroscopy (50 citations), Endocrinology (12 citations) and Molecular Biology (154 citations). Sameh Eid has collaborated with scholars based in Egypt, Germany and Switzerland. Frequent co-authors include Simone Fulle, Friedrich Rippmann, Andrea Volkamer, Samir Bondock, Tamer Nasr, Benjamin Merget, Khaled A. M. Abouzid, Dalal A. Abou El Ella, Mohamed A.H. Ismail and Ghada H. Al-Ansary. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, European Journal of Medicinal Chemistry, Journal of Cheminformatics and IUCrJ.

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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