Noha M. Khalil

56 total papers · 455 total citations
24 papers, 83 citations indexed

About

Noha M. Khalil is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Noha M. Khalil has authored 24 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Noha M. Khalil's work include Systemic Lupus Erythematosus Research (8 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Noha M. Khalil is often cited by papers focused on Systemic Lupus Erythematosus Research (8 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Noha M. Khalil collaborates with scholars based in Egypt, United States and Saudi Arabia. Noha M. Khalil's co-authors include Hanan Fouad, Asmaa Ali, Mohamed-Sameh H. El-Agha, Olfat Shaker, Nahla N. Eesa, Antoine AbdelMassih, Dina F. El‐Essawi, Mervat I. Abd Elazeem, Liang Wu and Reem Hamdy A Mohammed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Lupus.

In The Last Decade

Noha M. Khalil

23 papers receiving 82 citations

Author Peers

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

Author						Papers	Cites
Noha M. Khalil	27	22	19	11	11	24	83
José Carlos García-Robaina	28 1.0×	23 1.0×	16 0.8×	15 1.4×	7 0.6×	14	236
Marko Barešić	27 1.0×	12 0.5×	16 0.8×	22 2.0×	13 1.2×	24	113
J Rotès-Quérol	84 3.1×	38 1.7×	16 0.8×	53 4.8×	11 1.0×	18	228
Zeynep Meltem Akkurt	29 1.1×	20 0.9×	34 1.8×	20 1.8×	10 0.9×	32	218
S. Guez	7 0.3×	26 1.2×	4 0.2×	34 3.1×	9 0.8×	26	230
Mónica Munera‐Campos	51 1.9×	64 2.9×	24 1.3×	6 0.5×	33 3.0×	21	218
Ondřej Sobek	21 0.8×	19 0.9×	86 4.5×	73 6.6×	18 1.6×	23	236
Iman Nasr	17 0.6×	13 0.6×	15 0.8×	9 0.8×	12 1.1×	19	93
Tomomi Yukawa	13 0.5×	29 1.3×	16 0.8×	20 1.8×	12 1.1×	18	231
Stefania Barruscotti	16 0.6×	12 0.5×	19 1.0×	7 0.6×	22 2.0×	28	112

Countries citing papers authored by Noha M. Khalil

Since Specialization

Citations

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

Fields of papers citing papers by Noha M. Khalil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noha M. Khalil. 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 Noha M. Khalil. The network helps show where Noha M. Khalil may publish in the future.

Co-authorship network of co-authors of Noha M. Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Noha M. Khalil. A scholar is included among the top collaborators of Noha M. Khalil 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 Noha M. Khalil. Noha M. Khalil 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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