Katherine Ann Schlieper

839 total citations · 1 hit paper
7 papers, 681 citations indexed

About

Katherine Ann Schlieper is a scholar working on Molecular Biology, Endocrinology and Environmental Chemistry. According to data from OpenAlex, Katherine Ann Schlieper has authored 7 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Endocrinology and 2 papers in Environmental Chemistry. Recurrent topics in Katherine Ann Schlieper's work include Escherichia coli research studies (3 papers), Arsenic contamination and mitigation (2 papers) and Gut microbiota and health (2 papers). Katherine Ann Schlieper is often cited by papers focused on Escherichia coli research studies (3 papers), Arsenic contamination and mitigation (2 papers) and Gut microbiota and health (2 papers). Katherine Ann Schlieper collaborates with scholars based in United States and Greece. Katherine Ann Schlieper's co-authors include James G. Fox, Steven R. Tannenbaum, James A. Swenberg, John S. Wishnok, Ryan Abo, Stuart S. Levine, Kun Lü, David B. Schauer, Barry Rickman and Diana Borenshtein and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Katherine Ann Schlieper

7 papers receiving 675 citations

Hit Papers

Arsenic Exposure Perturbs the Gut Microbiome and Its Meta... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine Ann Schlieper United States 6 389 190 144 87 75 7 681
Ye Peng China 17 549 1.4× 51 0.3× 45 0.3× 148 1.7× 53 0.7× 54 1.0k
Subendu Sarkar India 11 141 0.4× 101 0.5× 119 0.8× 93 1.1× 54 0.7× 29 537
Tin-Chun Chu United States 15 263 0.7× 34 0.2× 39 0.3× 45 0.5× 33 0.4× 43 812
Cheryl K. Lau Canada 10 310 0.8× 32 0.2× 20 0.1× 60 0.7× 99 1.3× 16 762
César Rivas-Santiago Mexico 14 232 0.6× 159 0.8× 27 0.2× 179 2.1× 31 0.4× 29 761
Nan Cao China 15 245 0.6× 79 0.4× 21 0.1× 76 0.9× 30 0.4× 31 628
Richard A. Laddaga United States 11 384 1.0× 190 1.0× 26 0.2× 252 2.9× 95 1.3× 16 789
James Pyke Australia 10 340 0.9× 84 0.4× 80 0.6× 74 0.9× 10 0.1× 13 641
In Gyun Hwang South Korea 14 78 0.2× 240 1.3× 88 0.6× 122 1.4× 41 0.5× 26 701
Olivier Caille Switzerland 7 315 0.8× 113 0.6× 23 0.2× 30 0.3× 107 1.4× 7 603

Countries citing papers authored by Katherine Ann Schlieper

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Ann Schlieper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine Ann Schlieper. 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 Katherine Ann Schlieper. The network helps show where Katherine Ann Schlieper may publish in the future.

Co-authorship network of co-authors of Katherine Ann Schlieper

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

All Works

7 of 7 papers shown
1.
Wishnok, John S., Ryan Abo, Kun Lü, et al.. (2020). Arsenic Exposure Perturbs the Gut Microbiome and Its Metabolic Profile in Mice: An Integrated Metagenomics and Metabolomics Analysis. UNC Libraries. 3 indexed citations
2.
Lü, Kun, Ryan Abo, Katherine Ann Schlieper, et al.. (2014). Arsenic Exposure Perturbs the Gut Microbiome and Its Metabolic Profile in Mice: An Integrated Metagenomics and Metabolomics Analysis. Environmental Health Perspectives. 122(3). 284–291. 425 indexed citations breakdown →
3.
Lü, Kun, Peter H. Cable, Ryan Abo, et al.. (2013). Gut Microbiome Perturbations Induced by Bacterial Infection Affect Arsenic Biotransformation. Chemical Research in Toxicology. 26(12). 1893–1903. 71 indexed citations
4.
McBee, Megan E., Vijay K. Vanguri, Angela R. Melton‐Celsa, et al.. (2012). A novel murine infection model for Shiga toxin–producing Escherichia coli. Journal of Clinical Investigation. 122(11). 4012–4024. 68 indexed citations
5.
Raczynski, Arkadiusz R., Sureshkumar Muthupalani, Katherine Ann Schlieper, et al.. (2012). Enteric Infection with Citrobacter rodentium Induces Coagulative Liver Necrosis and Hepatic Inflammation Prior to Peak Infection and Colonic Disease. PLoS ONE. 7(3). e33099–e33099. 20 indexed citations
6.
Borenshtein, Diana, Katherine Ann Schlieper, Barry Rickman, et al.. (2009). Decreased Expression of Colonic Slc26a3 and Carbonic Anhydrase IV as a Cause of Fatal Infectious Diarrhea in Mice. Infection and Immunity. 77(9). 3639–3650. 62 indexed citations
7.
Wang, Yanyan, Barry Rickman, Theofilos Poutahidis, et al.. (2008). c-Rel Is Essential for the Development of Innate and T Cell-Induced Colitis. The Journal of Immunology. 180(12). 8118–8125. 32 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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