Liam K. Harold

20 total papers · 555 total citations
15 papers, 331 citations indexed

About

Liam K. Harold is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Liam K. Harold has authored 15 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Liam K. Harold's work include Tuberculosis Research and Epidemiology (7 papers), Antibiotic Resistance in Bacteria (3 papers) and Probiotics and Fermented Foods (3 papers). Liam K. Harold is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Antibiotic Resistance in Bacteria (3 papers) and Probiotics and Fermented Foods (3 papers). Liam K. Harold collaborates with scholars based in New Zealand, United States and Australia. Liam K. Harold's co-authors include Gregory M. Cook, Kiel Hards, Chris Greening, Matthew C. Taylor, Sergio E. Morales, Matthew B. Stott, Carlo R. Carere, John Tagg, John Hale and Matthew B. McNeil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Liam K. Harold

15 papers receiving 328 citations

Author Peers

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

Author Last Decade Papers Cites
Liam K. Harold 188 108 74 73 30 15 331
Nicholas R. Waters 107 0.6× 74 0.7× 32 0.4× 39 0.5× 53 1.8× 12 265
Otmane Lamrabet 144 0.8× 46 0.4× 54 0.7× 64 0.9× 22 0.7× 30 276
Chandrajit Lahiri 183 1.0× 34 0.3× 21 0.3× 57 0.8× 61 2.0× 23 340
Jyoti Keswani 153 0.8× 29 0.3× 53 0.7× 113 1.5× 9 0.3× 14 342
In-Jeong Ko 205 1.1× 116 1.1× 109 1.5× 70 1.0× 29 1.0× 18 338
Vadim Nikitushkin 113 0.6× 110 1.0× 100 1.4× 51 0.7× 54 1.8× 17 305
Nicole Poweleit 222 1.2× 67 0.6× 39 0.5× 64 0.9× 22 0.7× 10 365
Vinícius Augusto Carvalho de Abreu 108 0.6× 28 0.3× 38 0.5× 56 0.8× 37 1.2× 20 281
M. Matsuo 119 0.6× 94 0.9× 15 0.2× 23 0.3× 31 1.0× 16 355
Paris Laskaris 138 0.7× 46 0.4× 26 0.4× 113 1.5× 30 1.0× 12 350

Countries citing papers authored by Liam K. Harold

Since Specialization
Citations

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

Fields of papers citing papers by Liam K. Harold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam K. Harold. 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 Liam K. Harold. The network helps show where Liam K. Harold may publish in the future.

Co-authorship network of co-authors of Liam K. Harold

This figure shows the co-authorship network connecting the top 25 collaborators of Liam K. Harold. A scholar is included among the top collaborators of Liam K. Harold 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 Liam K. Harold. Liam K. Harold 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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