Noha M. Shawky

56 total papers · 471 total citations
28 papers, 365 citations indexed

About

Noha M. Shawky is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Noha M. Shawky has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 7 papers in Reproductive Medicine. Recurrent topics in Noha M. Shawky's work include Ovarian function and disorders (7 papers), Diet, Metabolism, and Disease (4 papers) and Birth, Development, and Health (4 papers). Noha M. Shawky is often cited by papers focused on Ovarian function and disorders (7 papers), Diet, Metabolism, and Disease (4 papers) and Birth, Development, and Health (4 papers). Noha M. Shawky collaborates with scholars based in United States, Egypt and Saudi Arabia. Noha M. Shawky's co-authors include Lakshman Segar, Nariman M. Gameil, George S.G. Shehatou, Ghada M. Suddеk, Elsayed M. Ammar, Manar A. Nader, Prahalathan Pichavaram, Islam Osman, Jane F. Reckelhoff and John Y. Jun and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Noha M. Shawky

23 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Noha M. Shawky	134	74	68	62	49	28	365
Ye Huang	147 1.1×	58 0.8×	35 0.5×	66 1.1×	30 0.6×	38	388
Amira Ebrahim Alsemeh	107 0.8×	35 0.5×	45 0.7×	30 0.5×	66 1.3×	47	333
Shinobu Sakamoto	109 0.8×	43 0.6×	37 0.5×	37 0.6×	22 0.4×	37	387
Shuo Wang	170 1.3×	45 0.6×	36 0.5×	50 0.8×	30 0.6×	25	383
Qingxian Huang	94 0.7×	68 0.9×	35 0.5×	35 0.6×	26 0.5×	15	337
Tian Xu	170 1.3×	75 1.0×	36 0.5×	50 0.8×	42 0.9×	19	382
Gaohong Lv	149 1.1×	28 0.4×	69 1.0×	44 0.7×	28 0.6×	14	363
Pragati Singh	141 1.1×	77 1.0×	89 1.3×	22 0.4×	84 1.7×	31	366
Jian Zhang	151 1.1×	38 0.5×	78 1.1×	20 0.3×	48 1.0×	28	383
Hussain Aldera	139 1.0×	42 0.6×	59 0.9×	23 0.4×	64 1.3×	20	362

Countries citing papers authored by Noha M. Shawky

Since Specialization

Citations

This map shows the geographic impact of Noha M. Shawky'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. Shawky 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. Shawky more than expected).

Fields of papers citing papers by Noha M. Shawky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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