Ani Qu

1.3k total citations
9 papers, 635 citations indexed

About

Ani Qu is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Ani Qu has authored 9 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Ani Qu's work include Gut microbiota and health (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic Syndromes and Imprinting (2 papers). Ani Qu is often cited by papers focused on Gut microbiota and health (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic Syndromes and Imprinting (2 papers). Ani Qu collaborates with scholars based in United States, Australia and Italy. Ani Qu's co-authors include Bryan A. White, Ingmar S. Middelbos, G. C. Fahey, Kelly S. Swanson, Brittany M. Vester Boler, William Nelson, Michael E. Konkel, Jennifer M. Brulc, Robert A. Edwards and Florent Angly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The FASEB Journal.

In The Last Decade

Ani Qu

9 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ani Qu United States	7	446	189	120	118	86	9	635
Zhengxiao Zhai China	7	544 1.2×	212 1.1×	282 2.4×	190 1.6×	51 0.6×	7	748
Feilong Deng China	14	667 1.5×	175 0.9×	205 1.7×	183 1.6×	92 1.1×	43	999
Charles V Maxwell United States	11	355 0.8×	130 0.7×	260 2.2×	145 1.2×	60 0.7×	28	658
Ursula M. McCormack United Kingdom	9	374 0.8×	115 0.6×	210 1.8×	174 1.5×	39 0.5×	14	575
Md. Aminul Islam Bangladesh	19	285 0.6×	281 1.5×	117 1.0×	151 1.3×	50 0.6×	40	784
Jannigje G. Kers Netherlands	12	359 0.8×	157 0.8×	321 2.7×	110 0.9×	55 0.6×	20	763
Alexandra J. Scupham United States	15	417 0.9×	206 1.1×	85 0.7×	138 1.2×	128 1.5×	21	774
Anne Ballou United States	5	319 0.7×	175 0.9×	234 1.9×	96 0.8×	59 0.7×	9	566
Toby Wilkinson United Kingdom	17	332 0.7×	82 0.4×	115 1.0×	94 0.8×	202 2.3×	28	815

Countries citing papers authored by Ani Qu

Since Specialization

Citations

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

Fields of papers citing papers by Ani Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ani Qu

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

Jeraldo, Patricio, Maksim Sipos, Nicholas Chia, et al.. (2012). Quantification of the relative roles of niche and neutral processes in structuring gastrointestinal microbiomes. Proceedings of the National Academy of Sciences. 109(25). 9692–9698. 106 indexed citations

Middelbos, Ingmar S., Brittany M. Vester Boler, Ani Qu, et al.. (2010). Phylogenetic Characterization of Fecal Microbial Communities of Dogs Fed Diets with or without Supplemental Dietary Fiber Using 454 Pyrosequencing. PLoS ONE. 5(3). e9768–e9768. 236 indexed citations

Sipos, Maksim, Patricio Jeraldo, Nicholas Chia, et al.. (2010). Robust Computational Analysis of rRNA Hypervariable Tag Datasets. PLoS ONE. 5(12). e15220–e15220. 16 indexed citations

Middelbos, Ingmar S., Kelly S. Swanson, Ani Qu, Bryan A. White, & G. C. Fahey. (2009). The use of pyrosequencing to identify diet‐induced changes in the canine gut microbiome. The FASEB Journal. 23(S1). 1 indexed citations

Alexander, Lindsey S., Ani Qu, M. F. Rothschild, et al.. (2009). A calcitonin receptor (CALCR) single nucleotide polymorphism is associated with growth performance and bone integrity in response to dietary phosphorus deficiency. Journal of Animal Science. 88(3). 1009–1016. 10 indexed citations

Qu, Ani, Jennifer M. Brulc, Melissa K. Wilson, et al.. (2008). Comparative Metagenomics Reveals Host Specific Metavirulomes and Horizontal Gene Transfer Elements in the Chicken Cecum Microbiome. PLoS ONE. 3(8). e2945–e2945. 223 indexed citations

Alexander, Lindsey S., Ani Qu, Steven M. Lonergan, et al.. (2008). Response to dietary phosphorus deficiency is affected by genetic background in growing pigs1. Journal of Animal Science. 86(10). 2585–2595. 24 indexed citations

Tarnopolsky, Mark A., Stuart M. Phillips, Gianni Parise, et al.. (2007). Gene Expression, Fiber Type, and Strength Are Similar Between Left and Right Legs in Older Adults. The Journals of Gerontology Series A. 62(10). 1088–1095. 15 indexed citations

Qu, Ani, M. F. Rothschild, & Chad H. Stahl. (2007). Effect of dietary phosphorus and its interaction with genetic background on global gene expression in porcine muscle. Journal of Animal Breeding and Genetics. 124(4). 214–224. 4 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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