Laila Shehata

23 total papers · 2.5k total citations
11 papers, 604 citations indexed

About

Laila Shehata is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Laila Shehata has authored 11 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Laila Shehata's work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Gene Regulatory Network Analysis (1 paper). Laila Shehata is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Gene Regulatory Network Analysis (1 paper). Laila Shehata collaborates with scholars based in United States, Czechia and France. Laila Shehata's co-authors include Marion Pepper, Kurt B. Pruner, Laura M. Walker, Asparouh Lilov, Daniel P. Maurer, Anna Z. Wec, Yingda Xu, Irina Burnina, Heather Lynaugh and Tingwan Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Immunity.

In The Last Decade

Laila Shehata

11 papers receiving 588 citations

Hit Papers

In Vivo CD4 + T Cell Diff... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Laila Shehata 304 180 110 98 82 11 604
Steven A. Erickson 286 0.9× 241 1.3× 112 1.0× 136 1.4× 54 0.7× 9 609
Ainsley Lockhart 354 1.2× 226 1.3× 128 1.2× 104 1.1× 57 0.7× 14 697
Cristina Lebrero‐Fernández 377 1.2× 159 0.9× 69 0.6× 78 0.8× 91 1.1× 15 666
Mark Izraelson 361 1.2× 174 1.0× 49 0.4× 82 0.8× 62 0.8× 14 547
Stacey L. Mueller‐Ortiz 366 1.2× 148 0.8× 96 0.9× 42 0.4× 95 1.2× 22 664
Jette Brandt 393 1.3× 140 0.8× 42 0.4× 70 0.7× 73 0.9× 15 661
Toyo Suzuki 247 0.8× 233 1.3× 91 0.8× 107 1.1× 33 0.4× 17 614
G Radcliffe 258 0.8× 189 1.1× 49 0.4× 74 0.8× 128 1.6× 13 601
Peter Conradt 430 1.4× 155 0.9× 135 1.2× 45 0.5× 102 1.2× 20 686
María Helena Thomaz Maia 421 1.4× 130 0.7× 61 0.6× 90 0.9× 81 1.0× 10 689

Countries citing papers authored by Laila Shehata

Since Specialization
Citations

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

Fields of papers citing papers by Laila Shehata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laila Shehata

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