Anwar Rayan

1.9k total citations
53 papers, 1.5k citations indexed

About

Anwar Rayan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Food Science. According to data from OpenAlex, Anwar Rayan has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 5 papers in Food Science. Recurrent topics in Anwar Rayan's work include Computational Drug Discovery Methods (17 papers), Receptor Mechanisms and Signaling (6 papers) and Essential Oils and Antimicrobial Activity (5 papers). Anwar Rayan is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Receptor Mechanisms and Signaling (6 papers) and Essential Oils and Antimicrobial Activity (5 papers). Anwar Rayan collaborates with scholars based in Israel, Palestinian Territory and United States. Anwar Rayan's co-authors include Mizied Falah, Jamal Raiyn, Amiram Goldblum, Oleg Ursu, Tudor I. Oprea, Mahmoud Rayan, Saleh Abu‐Lafi, Meir Glick, David Marcus and Wajeeh Daher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anwar Rayan

53 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anwar Rayan Israel 21 762 345 192 182 154 53 1.5k
Ramakrishna Vadde India 19 430 0.6× 191 0.6× 206 1.1× 76 0.4× 105 0.7× 52 1.1k
Jayme L. Dahlin United States 17 1.1k 1.5× 357 1.0× 125 0.7× 105 0.6× 362 2.4× 41 2.6k
Mahmoud A. El Hassab Egypt 21 512 0.7× 200 0.6× 121 0.6× 144 0.8× 78 0.5× 72 1.3k
Kok Wai Lam Malaysia 21 479 0.6× 132 0.4× 170 0.9× 92 0.5× 208 1.4× 84 1.4k
Giosuè Costa Italy 30 1.4k 1.8× 220 0.6× 204 1.1× 81 0.4× 307 2.0× 107 2.5k
Perwez Alam Saudi Arabia 22 594 0.8× 101 0.3× 377 2.0× 185 1.0× 121 0.8× 128 1.5k
Jérémie Mortier Germany 22 663 0.9× 246 0.7× 75 0.4× 113 0.6× 73 0.5× 37 1.2k
Chengyuan Liang China 26 864 1.1× 200 0.6× 276 1.4× 101 0.6× 328 2.1× 80 2.1k
Xu Shen China 31 1.6k 2.1× 207 0.6× 149 0.8× 67 0.4× 214 1.4× 66 2.3k
Pavel V. Pogodin Russia 17 749 1.0× 651 1.9× 171 0.9× 101 0.6× 278 1.8× 38 1.8k

Countries citing papers authored by Anwar Rayan

Since Specialization
Citations

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

Fields of papers citing papers by Anwar Rayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anwar Rayan

This figure shows the co-authorship network connecting the top 25 collaborators of Anwar Rayan. A scholar is included among the top collaborators of Anwar Rayan 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 Anwar Rayan. Anwar Rayan 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.
Daher, Wajeeh, et al.. (2024). Transforming Science Education in Elementary Schools: The Power of PhET Simulations in Enhancing Student Learning. Multimodal Technologies and Interaction. 8(11). 105–105. 5 indexed citations
3.
Daher, Wajeeh, et al.. (2023). Artificial Intelligence Generative Tools and Conceptual Knowledge in Problem Solving in Chemistry. Information. 14(7). 409–409. 35 indexed citations
4.
Rayan, Mahmoud, et al.. (2023). Alkyl Gallates as Potential Antibiofilm Agents: A Review. Molecules. 28(4). 1751–1751. 13 indexed citations
5.
Marcus, David, et al.. (2019). Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling. Scientific Reports. 9(1). 1106–1106. 26 indexed citations
6.
7.
Rayan, Anwar, Jamal Raiyn, & Mizied Falah. (2017). Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity. PLoS ONE. 12(11). e0187925–e0187925. 260 indexed citations
8.
Kačergius, Tomas, Saleh Abu‐Lafi, Mahmoud Rayan, et al.. (2017). Inhibitory capacity of Rhus coriaria L. extract and its major component methyl gallate on Streptococcus mutans biofilm formation by optical profilometry: Potential applications for oral health. Molecular Medicine Reports. 16(1). 949–956. 37 indexed citations
9.
Rayan, Mahmoud, et al.. (2017). Nature is the best source of anti-inflammatory drugs: indexing natural products for their anti-inflammatory bioactivity. Inflammation Research. 67(1). 67–75. 71 indexed citations
10.
Frank, Annika, et al.. (2017). From medicinal plant extracts to defined chemical compounds targeting the histamine H4 receptor: Curcuma longa in the treatment of inflammation. Inflammation Research. 66(10). 923–929. 19 indexed citations
11.
Godfrey, Caroline, Lourdes R. Desviat, Bård Smedsrød, et al.. (2017). Delivery is key: lessons learnt from developing splice‐switching antisense therapies. EMBO Molecular Medicine. 9(5). 545–557. 116 indexed citations
12.
Raiyn, Jamal & Anwar Rayan. (2015). How Chemicals’ Drawing and Modeling Improve Chemistry Teaching in Colleges of Education. 3(1). 1–4. 5 indexed citations
13.
Rayan, Anwar. (2015). em In silico em modeling techniques for predicting the tertiary structure of human H4 receptor. Frontiers in bioscience. 21(3). 597–619. 10 indexed citations
14.
Falah, Mizied, Anwar Rayan, & Samer Srouji. (2015). Storage effect on viability and biofunctionality of human adipose tissue-derived stromal cells. Cytotherapy. 17(9). 1220–1229. 3 indexed citations
15.
Pappalardo, Matteo, Livia Basile, Danilo Milardi, et al.. (2014). Sequential Application of Ligand and Structure Based Modeling Approaches to Index Chemicals for Their hH4R Antagonism. PLoS ONE. 9(10). e109340–e109340. 17 indexed citations
16.
Fanne, Rami Abu, Taher Nassar, Anwar Rayan, et al.. (2010). Blood–brain barrier permeability and tPA-mediated neurotoxicity. Neuropharmacology. 58(7). 972–980. 67 indexed citations
17.
Rayan, Anwar. (2009). New vistas in GPCR 3D structure prediction. Journal of Molecular Modeling. 16(2). 183–191. 21 indexed citations
18.
Rayan, Anwar, Hanoch Senderowitz, & Amiram Goldblum. (2004). Exploring the conformational space of cyclic peptides by a stochastic search method. Journal of Molecular Graphics and Modelling. 22(5). 319–333. 28 indexed citations
19.
Goldblum, Amiram, et al.. (1993). Extending crystallographic information with semiempirical quantum mechanics and molecular mechanics: A case of aspartic proteinases. Journal of Chemical Information and Computer Sciences. 33(2). 270–274. 6 indexed citations
20.
Rayan, Anwar, et al.. (1991). Theoretical Models of Aspartic Proteases: Active Site Properties, Dimer Stability and Interactions with Model Inhibitors. Advances in experimental medicine and biology. 306. 555–558. 2 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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