Seham Skah

38 total papers · 639 total citations
11 papers, 498 citations indexed

About

Seham Skah is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Seham Skah has authored 11 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Seham Skah's work include Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Seham Skah is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Seham Skah collaborates with scholars based in France, Norway and United States. Seham Skah's co-authors include Michelina Plateroti, Julien Nadjar, M Sirakov, Jacques Samarut, Colette Roche, Amélie Rezza, Ellen Ruud, Heidi Kiil Blomhoff, Elsa Kress and Nicolas Gadot and has published in prestigious journals such as Gastroenterology, Journal of Cell Science and Human Molecular Genetics.

In The Last Decade

Seham Skah

10 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Seham Skah	232	201	127	106	96	11	498
Quan-Yang Duh	183 0.8×	335 1.7×	93 0.7×	137 1.3×	124 1.3×	9	518
Anastasios Sofiadis	278 1.2×	346 1.7×	103 0.8×	84 0.8×	150 1.6×	14	610
Sandy Laue	190 0.8×	159 0.8×	123 1.0×	83 0.8×	94 1.0×	12	451
Mingzeng Sun	313 1.3×	196 1.0×	73 0.6×	40 0.4×	109 1.1×	15	586
Colin Mooney	139 0.6×	242 1.2×	102 0.8×	59 0.6×	188 2.0×	9	459
K. D. Brown	241 1.0×	96 0.5×	113 0.9×	58 0.5×	46 0.5×	12	586
Isuzu Ikeda	292 1.3×	116 0.6×	85 0.7×	49 0.5×	137 1.4×	12	487
Ana Rita Marques	209 0.9×	354 1.8×	136 1.1×	59 0.6×	173 1.8×	10	550
Carol A. Emler	253 1.1×	195 1.0×	73 0.6×	91 0.9×	54 0.6×	16	529
Tobias Linden	181 0.8×	75 0.4×	62 0.5×	76 0.7×	60 0.6×	13	502

Countries citing papers authored by Seham Skah

Since Specialization

Citations

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

Fields of papers citing papers by Seham Skah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seham Skah

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