Heba Shehta Said

20 total papers · 1.7k total citations
15 papers, 600 citations indexed

About

Heba Shehta Said is a scholar working on Molecular Medicine, Molecular Biology and Endocrinology. According to data from OpenAlex, Heba Shehta Said has authored 15 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Medicine, 6 papers in Molecular Biology and 6 papers in Endocrinology. Recurrent topics in Heba Shehta Said's work include Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Heba Shehta Said is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Heba Shehta Said collaborates with scholars based in Egypt, Japan and United States. Heba Shehta Said's co-authors include Atsushi Iraha, Wataru Suda, Sujin Kim, Hidetoshi Morita, Jiro Fujita, Hajime Ishida, Hiroki Oota, Masahira Hattori, Shigeki Nakagome and Nehal M. Elsherbiny and has published in prestigious journals such as Applied and Environmental Microbiology, Applied Microbiology and Biotechnology and Life Sciences.

In The Last Decade

Heba Shehta Said

15 papers receiving 594 citations

Author Peers

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

Author						Papers	Cites
Heba Shehta Said	296	151	97	96	90	15	600
Mohammed Al‐Haroni	145 0.5×	205 1.4×	35 0.4×	89 0.9×	137 1.5×	31	691
Glenn J. Rapsinski	335 1.1×	58 0.4×	131 1.4×	23 0.2×	75 0.8×	18	607
Thomas Moody	486 1.6×	61 0.4×	84 0.9×	45 0.5×	135 1.5×	8	693
Patrick Chong	253 0.9×	62 0.4×	17 0.2×	103 1.1×	182 2.0×	20	675
Bettina Spitzmüller	97 0.3×	315 2.1×	90 0.9×	77 0.8×	34 0.4×	19	655
Svetlana Lyalina	335 1.1×	75 0.5×	155 1.6×	44 0.5×	58 0.6×	13	638
Maria Maniati	175 0.6×	19 0.1×	154 1.6×	164 1.7×	127 1.4×	24	673
Heidi Vebø	340 1.1×	26 0.2×	65 0.7×	33 0.3×	224 2.5×	11	584
F. L. Jackson	227 0.8×	34 0.2×	18 0.2×	45 0.5×	70 0.8×	22	516
Violeta Chávez	274 0.9×	15 0.1×	61 0.6×	48 0.5×	107 1.2×	15	623

Countries citing papers authored by Heba Shehta Said

Since Specialization

Citations

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

Fields of papers citing papers by Heba Shehta Said

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heba Shehta Said. 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 Heba Shehta Said. The network helps show where Heba Shehta Said may publish in the future.

Co-authorship network of co-authors of Heba Shehta Said

This figure shows the co-authorship network connecting the top 25 collaborators of Heba Shehta Said. A scholar is included among the top collaborators of Heba Shehta Said 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 Heba Shehta Said. Heba Shehta Said 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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