Mariah L. Arral

28 total papers · 823 total citations
14 papers, 525 citations indexed

About

Mariah L. Arral is a scholar working on Molecular Biology, Immunology and Obstetrics and Gynecology. According to data from OpenAlex, Mariah L. Arral has authored 14 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Obstetrics and Gynecology. Recurrent topics in Mariah L. Arral's work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Pregnancy and preeclampsia studies (2 papers). Mariah L. Arral is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Pregnancy and preeclampsia studies (2 papers). Mariah L. Arral collaborates with scholars based in United States and India. Mariah L. Arral's co-authors include Kathryn A. Whitehead, Namit Chaudhary, Samuel T. LoPresti, Jilian R. Melamed, Norbert Pardi, Mohamad‐Gabriel Alameh, Drew Weissman, Saigopalakrishna S. Yerneni, Anuradha Sehrawat and Hiromi Muramatsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Advanced Functional Materials.

In The Last Decade

Mariah L. Arral

14 papers receiving 519 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Mariah L. Arral 419 99 72 68 57 14 525
Alejandro J. Da Silva Sanchez 439 1.0× 75 0.8× 67 0.9× 65 1.0× 53 0.9× 12 522
Sujay Kalathoor 484 1.2× 94 0.9× 77 1.1× 52 0.8× 52 0.9× 10 590
Zubao Gan 515 1.2× 98 1.0× 93 1.3× 43 0.6× 54 0.9× 9 566
Abishek Wadhwa 381 0.9× 126 1.3× 73 1.0× 43 0.6× 36 0.6× 9 524
Rohan Palanki 333 0.8× 58 0.6× 66 0.9× 54 0.8× 65 1.1× 21 504
Chaoyang Meng 277 0.7× 153 1.5× 53 0.7× 36 0.5× 50 0.9× 23 499
Dorottya Laczkó 397 0.9× 120 1.2× 80 1.1× 27 0.4× 36 0.6× 9 545
Francis Combes 330 0.8× 216 2.2× 55 0.8× 67 1.0× 141 2.5× 19 546
Gang Long 399 1.0× 90 0.9× 53 0.7× 18 0.3× 35 0.6× 18 589
Duckhyang Shin 341 0.8× 62 0.6× 60 0.8× 41 0.6× 24 0.4× 16 464

Countries citing papers authored by Mariah L. Arral

Since Specialization
Citations

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

Fields of papers citing papers by Mariah L. Arral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariah L. Arral. 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 Mariah L. Arral. The network helps show where Mariah L. Arral may publish in the future.

Co-authorship network of co-authors of Mariah L. Arral

This figure shows the co-authorship network connecting the top 25 collaborators of Mariah L. Arral. A scholar is included among the top collaborators of Mariah L. Arral 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 Mariah L. Arral. Mariah L. Arral 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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