Piper M. Treuting

773 total citations
12 papers, 564 citations indexed

About

Piper M. Treuting is a scholar working on Infectious Diseases, Genetics and Immunology. According to data from OpenAlex, Piper M. Treuting has authored 12 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Genetics and 3 papers in Immunology. Recurrent topics in Piper M. Treuting's work include Viral gastroenteritis research and epidemiology (7 papers), Virus-based gene therapy research (3 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). Piper M. Treuting is often cited by papers focused on Viral gastroenteritis research and epidemiology (7 papers), Virus-based gene therapy research (3 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). Piper M. Treuting collaborates with scholars based in United States and Switzerland. Piper M. Treuting's co-authors include Suzanne M. Dintzis, Lillian Maggio‐Price, Thea Brabb, Audrey Seamons, Vincent C. Tam, Oswald Quehenberger, Christine M. Oshansky, Alan Aderem, Edward A. Dennis and Aaron M. Armando and has published in prestigious journals such as Cell, American Journal Of Pathology and PLoS Pathogens.

In The Last Decade

Piper M. Treuting

11 papers receiving 552 citations

Peers

Piper M. Treuting

MB

ID

IMMUN

EPIDE

GENET

Romana T. Hartl Austria

Esther Furrer Switzerland

Christine B. Pearson United States

Cynthia Fourgeux France

Shaguna Seth United States

Achut G. Malur United States

Noelene S. Quinsey Australia

Aikaterini Alexaki United States

Jörg Berg Austria

John V. Stokes United States

Romana T. Hartl Austria

Piper M. Treuting

205 ×1.2

MB

114 ×0.7

ID

89 ×0.7

IMMUN

95 ×0.8

EPIDE

121 ×1.5

GENET

Citations per year, relative to Piper M. Treuting Piper M. Treuting (= 1×) peers Romana T. Hartl

Countries citing papers authored by Piper M. Treuting

Since Specialization

Citations

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

Fields of papers citing papers by Piper M. Treuting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Piper M. Treuting. 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 Piper M. Treuting. The network helps show where Piper M. Treuting may publish in the future.

Co-authorship network of co-authors of Piper M. Treuting

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

All Works

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12 of 12 papers shown

1.

Seamons, Audrey, Piper M. Treuting, Stacey Meeker, et al.. (2018). Obstructive Lymphangitis Precedes Colitis in Murine Norovirus–Infected Stat1-Deficient Mice. American Journal Of Pathology. 188(7). 1536–1554. 10 indexed citations

2.

Treuting, Piper M., et al.. (2017). Proliferative Cartilaginous Lesions in the Calcaneal Tendons of huNOG Mice. Toxicologic Pathology. 45(7). 952–956.

3.

Gounder, Anshu P., Piper M. Treuting, Sarah S. Wilson, et al.. (2016). Defensins Potentiate a Neutralizing Antibody Response to Enteric Viral Infection. PLoS Pathogens. 12(3). e1005474–e1005474. 39 indexed citations

4.

Piotrowski, Stacey L., et al.. (2016). Histologic Lesions Induced by Murine Norovirus Infection in Laboratory Mice. Veterinary Pathology. 53(4). 754–763. 13 indexed citations

5.

Hsu, Charlie C., Jisun Paik, Piper M. Treuting, et al.. (2014). Infection with murine norovirus 4 does not alter Helicobacter-induced inflammatory bowel disease in Il10(-/-) mice.. PubMed. 64(4). 256–63. 13 indexed citations

6.

Tam, Vincent C., Oswald Quehenberger, Christine M. Oshansky, et al.. (2013). Lipidomic Profiling of Influenza Infection Identifies Mediators that Induce and Resolve Inflammation. Cell. 154(1). 213–227. 194 indexed citations

7.

Treuting, Piper M. & Suzanne M. Dintzis. (2012). Comparative anatomy and histology : a mouse and human atlas. 156 indexed citations

8.

Paik, Jisun, Thomas O. McDonald, Piper M. Treuting, et al.. (2011). Murine norovirus increases atherosclerotic lesion size and macrophages in Ldlr(-/-) mice.. PubMed. 61(4). 330–8. 14 indexed citations

9.

Drivdahl, Rolf, et al.. (2011). Lack of effect of murine norovirus infection on a mouse model of bacteria-induced colon cancer.. PubMed. 61(3). 219–26. 14 indexed citations

10.

Paik, Jisun, Rolf Drivdahl, Piper M. Treuting, et al.. (2010). Effects of murine norovirus infection on a mouse model of diet-induced obesity and insulin resistance.. PubMed. 60(3). 189–95. 23 indexed citations

11.

Seamons, Audrey, et al.. (2008). Murine norovirus: an intercurrent variable in a mouse model of bacteria-induced inflammatory bowel disease.. PubMed. 58(6). 522–33. 60 indexed citations

12.

Torrence, Anne E, Thea Brabb, Joanne L. Viney, et al.. (2007). Serum biomarkers in a mouse model of bacterial-induced inflammatory bowel disease. Inflammatory Bowel Diseases. 14(4). 480–490. 28 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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