Daniel Andrew Aiello

40 total papers · 654 total citations
13 papers, 498 citations indexed

About

Daniel Andrew Aiello is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Daniel Andrew Aiello has authored 13 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Molecular Medicine and 4 papers in Genetics. Recurrent topics in Daniel Andrew Aiello's work include Antibiotic Resistance in Bacteria (7 papers), Cancer therapeutics and mechanisms (3 papers) and Bacterial biofilms and quorum sensing (3 papers). Daniel Andrew Aiello is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Cancer therapeutics and mechanisms (3 papers) and Bacterial biofilms and quorum sensing (3 papers). Daniel Andrew Aiello collaborates with scholars based in United States, Switzerland and Ireland. Daniel Andrew Aiello's co-authors include Terry L. Bowlin, Donald T. Moir, Norton P. Peet, John D. Williams, Daniel R. Caffrey, Katherine A. Fitzgerald, Maninjay Atianand, Jennie Chan, Zhaozhao Jiang and Jin Huang and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and Journal of Molecular Biology.

In The Last Decade

Daniel Andrew Aiello

13 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Andrew Aiello 253 106 90 81 69 13 498
Prateek Sharma 282 1.1× 139 1.3× 101 1.1× 50 0.6× 32 0.5× 24 558
Shu-Rui Li 276 1.1× 35 0.3× 167 1.9× 39 0.5× 88 1.3× 17 522
G. H. Warren 233 0.9× 72 0.7× 34 0.4× 26 0.3× 59 0.9× 25 517
Yaning Qi 405 1.6× 102 1.0× 178 2.0× 21 0.3× 34 0.5× 11 588
Sravan Kumar Miryala 343 1.4× 94 0.9× 56 0.6× 29 0.4× 16 0.2× 18 529
Wdee Thienphrapa 204 0.8× 65 0.6× 43 0.5× 59 0.7× 64 0.9× 10 491
Sankaralingam Saikolappan 287 1.1× 35 0.3× 33 0.4× 99 1.2× 31 0.4× 14 594
Katherine Young 292 1.2× 120 1.1× 176 2.0× 20 0.2× 28 0.4× 7 488
Douglas Wisniewski 310 1.2× 88 0.8× 101 1.1× 32 0.4× 43 0.6× 13 616
Ute Moellmann 216 0.9× 64 0.6× 51 0.6× 12 0.1× 161 2.3× 17 569

Countries citing papers authored by Daniel Andrew Aiello

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Andrew Aiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Andrew Aiello. 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 Daniel Andrew Aiello. The network helps show where Daniel Andrew Aiello may publish in the future.

Co-authorship network of co-authors of Daniel Andrew Aiello

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Andrew Aiello. A scholar is included among the top collaborators of Daniel Andrew Aiello 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 Daniel Andrew Aiello. Daniel Andrew Aiello 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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