Hagar Hussein

483 total citations
6 papers, 34 citations indexed

About

Hagar Hussein is a scholar working on Artificial Intelligence, Pharmacology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hagar Hussein has authored 6 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Pharmacology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Hagar Hussein's work include Psidium guajava Extracts and Applications (2 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Hagar Hussein is often cited by papers focused on Psidium guajava Extracts and Applications (2 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Hagar Hussein collaborates with scholars based in Egypt, United States and Qatar. Hagar Hussein's co-authors include Lee Cooper, Pooya Mobadersany, Mohamed Amgad, Sanghoon Lee, Habiba Elfandy, Brian P. Pollack, David A. Gutman, Engy Mohsen, Riham A. El‐Shiekh and Ehab Hafiz and has published in prestigious journals such as Bioinformatics, Cancer Research and RSC Advances.

In The Last Decade

Hagar Hussein

6 papers receiving 33 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hagar Hussein Egypt	4	14	10	9	7	5	6	34
Luke Ternes United States	4	14 1.0×	18 1.8×	8 0.9×	19 2.7×	3 0.6×	5	41
Leonid Kostrykin Germany	3	12 0.9×	14 1.4×	4 0.4×	2 0.3×	3 0.6×	3	19
Zhuchen Shao China	4	42 3.0×	4 0.4×	18 2.0×	6 0.9×	3 0.6×	6	52
Jaclyn Smith United Kingdom	3	18 1.3×	4 0.4×	4 0.4×	6 0.9×		5	30
Yashvardhan Jain United States	3	7 0.5×	7 0.7×	5 0.6×	4 0.6×		4	19
Maksim Kuznetsov Canada	4	9 0.6×	4 0.4×	4 0.4×	24 3.4×	1 0.2×	8	61
Takumi Maruyama Japan	4	21 1.5×	21 2.1×	2 0.2×	5 0.7×		7	49
Gabriel Cerono United States	4	32 2.3×	3 0.3×	8 0.9×	24 3.4×		8	68
Nicolas Boutry France	4	5 0.4×	3 0.3×	10 1.1×		2 0.4×	14	43
Cyril Zakka United States	5	3 0.2×	3 0.3×	11 1.2×	6 0.9×	1 0.2×	6	38

Countries citing papers authored by Hagar Hussein

Since Specialization

Citations

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

Fields of papers citing papers by Hagar Hussein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hagar Hussein

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

All Works

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6 of 6 papers shown

1.

Hussein, Hagar, Basma M. Eltanany, Laura Pont, et al.. (2024). Cognitive-enhancing effect of Cordia dichotoma fruit on scopolamine-induced cognitive impairment in rats: metabolite profiling, in vivo , and in silico investigations. RSC Advances. 14(54). 40267–40286. 2 indexed citations

2.

Hussein, Hagar, et al.. (2024). New Insight into the Anticholinesterase Potential of Cordia dichotoma G. Forst. and Cordia sebestena L. Leaves, Phenolic Characterization of their Active Extracts by HPLC-DAD and Molecular Modeling. Egyptian Journal of Chemistry. 0(0). 0–0. 3 indexed citations

3.

Hussein, Hagar, et al.. (2023). An overview on botanical characteristics, phytochemical constituents and pharmacological effects of Cordia dichotoma (G. Forst.) and Cordia sebestena (L.) (Boraginaceae). Egyptian Journal of Chemistry. 0(0). 0–0. 3 indexed citations

4.

Hussein, Hagar, et al.. (2022). Artificial Intelligence in Kidney Transplantation: A Scoping Review. Studies in health technology and informatics. 294. 254–258. 2 indexed citations

5.

Amgad, Mohamed, Hagar Hussein, Kareem Hosny Mohammed, et al.. (2021). Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinformatics. 38(2). 513–519. 10 indexed citations

6.

Lee, Sanghoon, Mohamed Amgad, Pooya Mobadersany, et al.. (2020). Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Research. 81(4). 1171–1177. 14 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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