Loretta Auvil

4.6k total citations
38 papers, 832 citations indexed

About

Loretta Auvil is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Loretta Auvil has authored 38 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Loretta Auvil's work include Advanced Text Analysis Techniques (6 papers), Gut microbiota and health (5 papers) and Nutritional Studies and Diet (4 papers). Loretta Auvil is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Gut microbiota and health (5 papers) and Nutritional Studies and Diet (4 papers). Loretta Auvil collaborates with scholars based in United States, United Kingdom and Netherlands. Loretta Auvil's co-authors include Michael Welge, Denis M. Larkin, Harris A. Lewin, Boris Capitanu, Ravikiran Donthu, Jian Ma, Jaebum Kim, Colleen Bushell, Tanya Clement and Marta Farré and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Loretta Auvil

35 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loretta Auvil United States 16 387 250 225 167 110 38 832
James R. Giles United States 21 284 0.7× 35 0.1× 325 1.4× 131 0.8× 22 0.2× 43 1.1k
Pi-Chuan Chang United States 14 965 2.5× 233 0.9× 534 2.4× 711 4.3× 99 0.9× 30 2.0k
George S. Davidson United States 20 780 2.0× 92 0.4× 121 0.5× 101 0.6× 117 1.1× 49 1.6k
Oswaldo Trelles Spain 22 701 1.8× 350 1.4× 208 0.9× 128 0.8× 27 0.2× 82 1.4k
Gung‐Wei Chirn United States 16 656 1.7× 206 0.8× 58 0.3× 110 0.7× 31 0.3× 29 1.0k
Laurie J. Heyer United States 12 989 2.6× 60 0.2× 105 0.5× 158 0.9× 72 0.7× 24 1.4k
Alistair Miles United Kingdom 16 577 1.5× 88 0.4× 96 0.4× 516 3.1× 35 0.3× 44 1.4k
Andy Perkins United States 21 439 1.1× 184 0.7× 192 0.9× 85 0.5× 26 0.2× 50 1.1k
Niko Välimäki Finland 17 472 1.2× 163 0.7× 117 0.5× 176 1.1× 38 0.3× 33 921
Brian Wylie United States 12 483 1.2× 53 0.2× 81 0.4× 107 0.6× 257 2.3× 21 1.0k

Countries citing papers authored by Loretta Auvil

Since Specialization
Citations

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

Fields of papers citing papers by Loretta Auvil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loretta Auvil

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

All Works

20 of 20 papers shown
1.
Leicht, Kevin T., et al.. (2022). The Presentation of Self in Virtual Life: Disinformation Warnings and the Spread of Misinformation Regarding COVID-19. RSF The Russell Sage Foundation Journal of the Social Sciences. 8(8). 52–68. 2 indexed citations
2.
Yang, Wen‐Bin, Ryan E. Yaggie, Bryan A. White, et al.. (2021). Acyloxyacyl hydrolase is a host determinant of gut microbiome-mediated pelvic pain. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 321(3). R396–R412. 14 indexed citations
3.
Guo, Boyi, Hannah D. Holscher, Loretta Auvil, et al.. (2021). Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests. Statistics in Biosciences. 15(3). 545–561. 5 indexed citations
4.
Auvil, Loretta, Michael Welge, Colleen Bushell, et al.. (2020). Fecal Bacteria as Biomarkers for Predicting Food Intake in Healthy Adults. Journal of Nutrition. 151(2). 423–433. 25 indexed citations
5.
Smith, Brandi Patrice, Loretta Auvil, Michael Welge, et al.. (2020). Identification of early liver toxicity gene biomarkers using comparative supervised machine learning. Scientific Reports. 10(1). 19128–19128. 16 indexed citations
6.
Groesch, Kathleen, Paula Díaz‐Sylvester, Melissa A. Cregger, et al.. (2020). Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer. PLoS ONE. 15(1). e0227707–e0227707. 40 indexed citations
7.
Schachtschneider, Kyle M., Michael Welge, Loretta Auvil, et al.. (2020). Altered Hippocampal Epigenetic Regulation Underlying Reduced Cognitive Development in Response to Early Life Environmental Insults. Genes. 11(2). 162–162. 9 indexed citations
8.
Liu, Xiaoji, Yiru Zhao, Gianluigi Rossi, et al.. (2018). Long-Term Administration of Conjugated Estrogen and Bazedoxifene Decreased Murine Fecal β-Glucuronidase Activity Without Impacting Overall Microbiome Community. Scientific Reports. 8(1). 8166–8166. 53 indexed citations
9.
Welge, Michael, et al.. (2018). The use of random forests modelling to detect yeast-mannan sensitive bacterial changes in the broiler cecum. Scientific Reports. 8(1). 13270–13270. 9 indexed citations
10.
Kim, Jaebum, Marta Farré, Loretta Auvil, et al.. (2017). Reconstruction and evolutionary history of eutherian chromosomes. Proceedings of the National Academy of Sciences. 114(27). E5379–E5388. 70 indexed citations
11.
Farré, Marta, Jitendra Narayan, Gancho T. Slavov, et al.. (2016). Novel Insights into Chromosome Evolution in Birds, Archosaurs, and Reptiles. Genome Biology and Evolution. 8(8). 2442–2451. 49 indexed citations
12.
Organisciak, Peter, Sayan Bhattacharyya, Loretta Auvil, et al.. (2016). Adding Flexibility to Large-Scale Text Visualization with HathiTrust+Bookworm.. DH. 854–856.
13.
Auvil, Loretta, et al.. (2014). Diagnosing Page Image Problems with Post-OCR Triage for eMOP.. DH. 1 indexed citations
14.
Clement, Tanya, David Tcheng, Loretta Auvil, Boris Capitanu, & Megan Monroe. (2013). Sounding for Meaning: Using Theories of Knowledge Representation to Analyze Aural Patterns in Texts. Digital humanities quarterly. 7(1). 5 indexed citations
15.
Clement, T.S., et al.. (2013). Distant Listening to Gertrude Stein's 'Melanctha': Using Similarity Analysis in a Discovery Paradigm to Analyze Prosody and Author Influence. Literary and Linguistic Computing. 28(4). 582–602. 2 indexed citations
16.
Kim, Jaebum, Denis M. Larkin, Qingle Cai, et al.. (2013). Reference-assisted chromosome assembly. Proceedings of the National Academy of Sciences. 110(5). 1785–1790. 86 indexed citations
17.
Clement, Tanya, et al.. (2012). Sounding for Meaning: Analyzing Aural Patterns Across Large Digital Collections.. DH. 158–161. 3 indexed citations
18.
Larkin, Denis M., et al.. (2009). Breakpoint regions and homologous synteny blocks in chromosomes have different evolutionary histories. Genome Research. 19(5). 770–777. 135 indexed citations
19.
Llorà, Xavier, et al.. (2008). Meandre: Semantic-Driven Data-Intensive Flows in the Clouds. 238–245. 44 indexed citations
20.
Auvil, Loretta, et al.. (2001). Integrating data mining and visualization processes. Morgan Kaufmann Publishers Inc. eBooks. 299–303.

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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