Mohamed Eweida

37 total papers · 839 total citations
25 papers, 688 citations indexed

About

Mohamed Eweida is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Mohamed Eweida has authored 25 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 9 papers in Molecular Biology and 6 papers in Endocrinology. Recurrent topics in Mohamed Eweida's work include Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (6 papers) and Plant Pathogenic Bacteria Studies (5 papers). Mohamed Eweida is often cited by papers focused on Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (6 papers) and Plant Pathogenic Bacteria Studies (5 papers). Mohamed Eweida collaborates with scholars based in Canada, Sweden and United States. Mohamed Eweida's co-authors include Minna Woo, Nicole Liadis, Razqallah Hakem, Laura Sheu, Herbert Y. Gaisano, Mounir G. AbouHaidar, Adria Giacca, C. Ronald Kahn, Daniel Konrad and P. Oxelfelt and has published in prestigious journals such as Molecular and Cellular Biology, Diabetes and Journal of Neurochemistry.

In The Last Decade

Mohamed Eweida

24 papers receiving 663 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohamed Eweida 345 173 163 84 80 25 688
Rabindranath Chakrabarti 248 0.7× 102 0.6× 201 1.2× 37 0.4× 93 1.2× 22 772
Nyeon‐Hyoung An 306 0.9× 83 0.5× 45 0.3× 35 0.4× 46 0.6× 38 790
K Chinn 388 1.1× 83 0.5× 55 0.3× 34 0.4× 24 0.3× 20 739
Huiyu Yang 443 1.3× 125 0.7× 80 0.5× 90 1.1× 34 0.4× 30 756
Toshiharu Hanaya 223 0.6× 50 0.3× 53 0.3× 29 0.3× 38 0.5× 26 633
Kjell Malmlöf 133 0.4× 75 0.4× 42 0.3× 45 0.5× 159 2.0× 46 639
András Szöllősi 345 1.0× 90 0.5× 257 1.6× 25 0.3× 109 1.4× 20 659
Abburi Ramaiah 324 0.9× 40 0.2× 120 0.7× 336 4.0× 80 1.0× 27 697
Yu Mi Baek 286 0.8× 96 0.6× 27 0.2× 41 0.5× 42 0.5× 21 620
Tarvinder K. Taneja 448 1.3× 25 0.1× 124 0.8× 71 0.8× 81 1.0× 19 684

Countries citing papers authored by Mohamed Eweida

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Eweida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Eweida

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Eweida. A scholar is included among the top collaborators of Mohamed Eweida 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 Mohamed Eweida. Mohamed Eweida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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