Maia Kayal

172 total papers · 1.4k total citations
77 papers, 710 citations indexed

About

Maia Kayal is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Maia Kayal has authored 77 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Genetics, 41 papers in Surgery and 40 papers in Epidemiology. Recurrent topics in Maia Kayal's work include Inflammatory Bowel Disease (50 papers), Microscopic Colitis (32 papers) and Eosinophilic Esophagitis (12 papers). Maia Kayal is often cited by papers focused on Inflammatory Bowel Disease (50 papers), Microscopic Colitis (32 papers) and Eosinophilic Esophagitis (12 papers). Maia Kayal collaborates with scholars based in United States, Canada and France. Maia Kayal's co-authors include Shailja C. Shah, Marla C. Dubinsky, Sheila D. Rustgi, Jean‐Frédéric Colombel, Michael T. Dolinger, Ryan C. Ungaro, Sergey Khaitov, Alexander J. Greenstein, Patricia Sylla and Mei R. Fu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Maia Kayal

61 papers receiving 703 citations

Author Peers

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

Author						Papers	Cites
Maia Kayal	365	329	293	223	90	77	710
Jean Ashburn	251 0.7×	425 1.3×	214 0.7×	277 1.2×	45 0.5×	46	738
Kitaro Futami	415 1.1×	414 1.3×	271 0.9×	198 0.9×	83 0.9×	58	799
Masahiro Takahara	364 1.0×	270 0.8×	342 1.2×	157 0.7×	56 0.6×	71	813
Aufses Ah	177 0.5×	369 1.1×	174 0.6×	191 0.9×	41 0.5×	58	844
Tadashi Yokoyama	301 0.8×	361 1.1×	257 0.9×	241 1.1×	55 0.6×	102	862
Romain Altwegg	482 1.3×	201 0.6×	383 1.3×	117 0.5×	48 0.5×	63	731
Maria de Lourdes Setsuko Ayrizono	313 0.9×	263 0.8×	212 0.7×	135 0.6×	48 0.5×	71	745
Garrett Lawlor	429 1.2×	206 0.6×	478 1.6×	116 0.5×	46 0.5×	48	898
Ben Novis	139 0.4×	419 1.3×	156 0.5×	208 0.9×	169 1.9×	52	860
Ertuğrul Kayaçeti̇n	143 0.4×	370 1.1×	242 0.8×	297 1.3×	72 0.8×	73	891

Countries citing papers authored by Maia Kayal

Since Specialization

Citations

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

Fields of papers citing papers by Maia Kayal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maia Kayal

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