Inas Elsayed

27 total papers · 416 total citations
11 papers, 80 citations indexed

About

Inas Elsayed is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Inas Elsayed has authored 11 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Inas Elsayed's work include Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and CRISPR and Genetic Engineering (2 papers). Inas Elsayed is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and CRISPR and Genetic Engineering (2 papers). Inas Elsayed collaborates with scholars based in Sudan, Ireland and China. Inas Elsayed's co-authors include Xiaosheng Wang, Sara Bandrés‐Ciga, Paula Reyes‐Pérez, Pin‐Jui Kung, Alejandro Martínez-Carrasco, Mario Cornejo‐Olivas, Abdulrahim A. Alzain, Kieran Sheahan, Bruce Moran and Qiushi Feng and has published in prestigious journals such as Scientific Reports, Movement Disorders and International Immunopharmacology.

In The Last Decade

Inas Elsayed

10 papers receiving 79 citations

Author Peers

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

Author						Papers	Cites
Inas Elsayed	35	19	14	13	13	11	80
Marina Esteban‐Medina	62 1.8×	8 0.4×	13 0.9×	12 0.9×	14 1.1×	12	124
Melissa Bennion	52 1.5×	15 0.8×	8 0.6×	4 0.3×	4 0.3×	8	97
Flavio Crameri	114 3.3×	33 1.7×	3 0.2×	10 0.8×	14 1.1×	12	221
Claire Muller	33 0.9×	5 0.3×	24 1.7×	5 0.4×	2 0.2×	11	86
Walaa Alshafie	40 1.1×	8 0.4×	7 0.5×	20 1.5×	4 0.3×	9	93
Ramy Malty	155 4.4×	22 1.2×	10 0.7×	15 1.2×	4 0.3×	10	215
Christian Netzer	84 2.4×	10 0.5×	3 0.2×	10 0.8×	10 0.8×	8	117
Peiqi Xing	69 2.0×	5 0.3×	12 0.9×	8 0.6×	5 0.4×	8	115
Joël van Roon	61 1.7×	13 0.7×	2 0.1×	5 0.4×	3 0.2×	9	217
Meng Zhang	69 2.0×	13 0.7×	4 0.3×	18 1.4×	2 0.2×	12	108

Countries citing papers authored by Inas Elsayed

Since Specialization

Citations

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

Fields of papers citing papers by Inas Elsayed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inas Elsayed

This figure shows the co-authorship network connecting the top 25 collaborators of Inas Elsayed. A scholar is included among the top collaborators of Inas Elsayed 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 Inas Elsayed. Inas Elsayed 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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