Adam Allred

704 total citations
9 papers, 492 citations indexed

About

Adam Allred is a scholar working on Infectious Diseases, Molecular Biology and Ecology. According to data from OpenAlex, Adam Allred has authored 9 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Adam Allred's work include Bacteriophages and microbial interactions (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Adam Allred is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Adam Allred collaborates with scholars based in United States, Australia and Thailand. Adam Allred's co-authors include Phillip I. Tarr, Stacy R. Finkbeiner, Carl D. Kirkwood, David Wang, Emily Wright, C Manuel, Michael Mwangi, Martin Wiedmann, Robert S. Tebbs and Robab Katani and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Adam Allred

9 papers receiving 486 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Adam Allred United States	6	242	125	121	98	95	9	492
Simon H. Tausch Germany	15	206 0.9×	250 2.0×	148 1.2×	78 0.8×	186 2.0×	30	646
Tae-Hyun Lim South Korea	13	273 1.1×	58 0.5×	109 0.9×	201 2.1×	111 1.2×	21	497
Joanna C. Young United Kingdom	9	144 0.6×	150 1.2×	56 0.5×	35 0.4×	93 1.0×	12	574
Anil Thachil United States	12	152 0.6×	98 0.8×	47 0.4×	61 0.6×	89 0.9×	27	423
Geoff Soule Canada	15	303 1.3×	122 1.0×	43 0.4×	55 0.6×	142 1.5×	28	594
Oksana Mykytczuk Canada	10	231 1.0×	101 0.8×	132 1.1×	31 0.3×	236 2.5×	10	510
Kathleen Shaw United States	8	274 1.1×	126 1.0×	386 3.2×	112 1.1×	81 0.9×	11	645
Qingping Luo China	13	110 0.5×	138 1.1×	54 0.4×	49 0.5×	133 1.4×	37	415
James T. Riordan United States	17	341 1.4×	251 2.0×	91 0.8×	25 0.3×	96 1.0×	24	705
Pornphan Diraphat Thailand	13	163 0.7×	117 0.9×	68 0.6×	54 0.6×	175 1.8×	23	599

Countries citing papers authored by Adam Allred

Since Specialization

Citations

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

Fields of papers citing papers by Adam Allred

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Allred

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Allred. A scholar is included among the top collaborators of Adam Allred 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 Adam Allred. Adam Allred is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Ng, Justin H. J., Andrew Gorzalski, Adam Allred, et al.. (2024). The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis. International Journal of Molecular Sciences. 25(14). 7909–7909. 4 indexed citations

Singh, Atul K., Adam Allred, Marc W. Allard, et al.. (2024). Targeted Next-Generation Sequencing Assay for Direct Detection and Serotyping of Salmonella from Enrichment. Journal of Food Protection. 87(4). 100256–100256. 9 indexed citations

Fratamico, Pina M., Yanhong Liu, David S. Needleman, et al.. (2021). A Targeted Sequencing Assay for Serotyping Escherichia coli Using AgriSeq Technology. Frontiers in Microbiology. 11. 627997–627997. 5 indexed citations

DebRoy, Chitrita, Pina M. Fratamico, Xianghe Yan, et al.. (2016). Comparison of O-Antigen Gene Clusters of All O-Serogroups of Escherichia coli and Proposal for Adopting a New Nomenclature for O-Typing. PLoS ONE. 11(1). e0147434–e0147434. 85 indexed citations

Gardner, Shea N., Kenneth G. Frey, C. L. Redden, et al.. (2015). Targeted amplification for enhanced detection of biothreat agents by next-generation sequencing. BMC Research Notes. 8(1). 682–682. 20 indexed citations

Bakker, Henk C. den, Steven Warchocki, Emily Wright, et al.. (2014). Listeria floridensis sp. nov., Listeria aquatica sp. nov., Listeria cornellensis sp. nov., Listeria riparia sp. nov. and Listeria grandensis sp. nov., from agricultural and natural environments. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 64(Pt_6). 1882–1889. 89 indexed citations

Allred, Adam, et al.. (2012). VIPR HMM: a hidden Markov model for detecting recombination with microbial detection microarrays. Bioinformatics. 28(22). 2922–2929. 2 indexed citations

Allred, Adam, Guang Wu, Kael F. Fischer, et al.. (2010). VIPR: A probabilistic algorithm for analysis of microbial detection microarrays. BMC Bioinformatics. 11(1). 384–384. 3 indexed citations

Finkbeiner, Stacy R., et al.. (2008). Metagenomic Analysis of Human Diarrhea: Viral Detection and Discovery. PLoS Pathogens. 4(2). e1000011–e1000011. 275 indexed citations

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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