Sean P. Troth

2.4k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Sean P. Troth is a scholar working on Nephrology, Immunology and Small Animals. According to data from OpenAlex, Sean P. Troth has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 8 papers in Immunology and 7 papers in Small Animals. Recurrent topics in Sean P. Troth's work include Chronic Kidney Disease and Diabetes (9 papers), Acute Kidney Injury Research (8 papers) and Immunotoxicology and immune responses (7 papers). Sean P. Troth is often cited by papers focused on Chronic Kidney Disease and Diabetes (9 papers), Acute Kidney Injury Research (8 papers) and Immunotoxicology and immune responses (7 papers). Sean P. Troth collaborates with scholars based in United States, France and Switzerland. Sean P. Troth's co-authors include Frank D. Sistare, Daniel Holder, Nagaraja Muniappa, Vishal S. Vaidya, Norma A. Bobadilla, Joseph V. Bonventre, Victoria Ramírez, David Gerhold, Josef Ozer and Douglas T. Thudium and has published in prestigious journals such as Nature Biotechnology, Scientific Reports and Kidney International.

In The Last Decade

Sean P. Troth

27 papers receiving 1.2k citations

Hit Papers

Kidney injury molecule-1 outperforms traditional biomarke... 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies
    2010 520 citations Vishal S. Vaidya, Josef Ozer et al. Nature Biotechnology profile →

Peers

Sean P. Troth
Qiongjing Yuan China
Estelle Marrer Switzerland
I‐Jung Tsai Taiwan
Michiel F. Schreuder Netherlands
Yan Qin China
Ingeborg A. Hauser Germany
Ajay P. Sharma Canada
Thorsten Kaiser Germany
Eva Schrezenmeier Germany
K. Tsuchiya Japan
Qiongjing Yuan China
Sean P. Troth
Citations per year, relative to Sean P. Troth Sean P. Troth (= 1×) peers Qiongjing Yuan

Countries citing papers authored by Sean P. Troth

Since Specialization
Citations

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

Fields of papers citing papers by Sean P. Troth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean P. Troth. 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 Sean P. Troth. The network helps show where Sean P. Troth may publish in the future.

Co-authorship network of co-authors of Sean P. Troth

This figure shows the co-authorship network connecting the top 25 collaborators of Sean P. Troth. A scholar is included among the top collaborators of Sean P. Troth 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 Sean P. Troth. Sean P. Troth 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.
Monticello, Thomas M., David M. Potter, Qihong Huang, et al.. (2024). Do longer duration nonclinical toxicology studies provide predictive clinical safety value? The IQ consortium longer duration nonclinical to clinical translational database. Toxicology and Applied Pharmacology. 492. 117087–117087. 3 indexed citations
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Vlasáková, Kateřina, Sean P. Troth, Frank D. Sistare, et al.. (2024). Magnitude of Urine Albumin and KIM-1 Changes Can be Used to Differentiate Glomerular Injury From Tubular Injury in Rats. Toxicologic Pathology. 52(2-3). 88–98. 2 indexed citations
4.
Escobar, Patricia A., Zhanna Sobol, Randy R. Miller, et al.. (2024). Comprehensive genotoxicity and carcinogenicity assessment of molnupiravir. Toxicological Sciences. 202(2). 278–290. 5 indexed citations
5.
Vlasáková, Kateřina, Sean P. Troth, Frank D. Sistare, & Warren E. Glaab. (2020). Evaluation of 10 Urinary Biomarkers for Renal Safety With 5 Nephrotoxicants in Nonhuman Primates. Toxicologic Pathology. 48(5). 633–648. 8 indexed citations
6.
Sellers, Rani S., Keith Nelson, Bindu Bennet, et al.. (2019). Scientific and Regulatory Policy Committee Points to Consider*: Approaches to the Conduct and Interpretation of Vaccine Safety Studies for Clinical and Anatomic Pathologists. Toxicologic Pathology. 48(2). 257–276. 14 indexed citations
7.
Troth, Sean P., Kateřina Vlasáková, Shashi Amur, Rupesh P. Amin, & Warren E. Glaab. (2019). Translational Safety Biomarkers of Kidney Injury. Seminars in Nephrology. 39(2). 202–214. 7 indexed citations
8.
Troth, Sean P., et al.. (2019). Kidney Safety Assessment: Current Practices in Drug Development. Seminars in Nephrology. 39(2). 120–131. 15 indexed citations
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Coller, Beth-Ann, Jeffrey T. Blue, Rituparna Das, et al.. (2017). Clinical development of a recombinant Ebola vaccine in the midst of an unprecedented epidemic. Vaccine. 35(35). 4465–4469. 35 indexed citations
12.
Brown, Alan, et al.. (2016). Graphical display of histopathology data from toxicology studies for drug discovery and development: An industry perspective. Regulatory Toxicology and Pharmacology. 82. 167–172. 4 indexed citations
13.
Phillips, Jonathan A., Daniel Holder, Daniela Ennulat, et al.. (2016). Rat Urinary Osteopontin and Neutrophil Gelatinase-Associated Lipocalin Improve Certainty of Detecting Drug-Induced Kidney Injury. Toxicological Sciences. 151(2). 214–223. 28 indexed citations
14.
Forest, Thomas, et al.. (2014). Spontaneous epithelioid hemangiosarcoma in a rhesus monkey (Macaca mulatta).. PubMed. 64(4). 309–13. 2 indexed citations
15.
Vlasáková, Kateřina, Zoltán Erdős, Sean P. Troth, et al.. (2013). Evaluation of the Relative Performance of 12 Urinary Biomarkers for Renal Safety Across 22 Rat Sensitivity and Specificity Studies. Toxicological Sciences. 138(1). 3–20. 51 indexed citations
16.
Vaidya, Vishal S., Josef Ozer, Frank Dieterle, et al.. (2010). Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies. Nature Biotechnology. 28(5). 478–485. 520 indexed citations breakdown →
17.
Yu, Yan, Hong Jin, Daniel Holder, et al.. (2010). Urinary biomarkers trefoil factor 3 and albumin enable early detection of kidney tubular injury. Nature Biotechnology. 28(5). 470–477. 147 indexed citations
18.
Vaidya, Vishal S., Glen Ford, Sushrut S. Waikar, et al.. (2009). A rapid urine test for early detection of kidney injury. Kidney International. 76(1). 108–114. 165 indexed citations
19.
Troth, Sean P., Alan D. Dean, & Edward A. Hoover. (2008). In vivo CXCR4 expression, lymphoid cell phenotype, and feline immunodeficiency virus infection. Veterinary Immunology and Immunopathology. 123(1-2). 97–105. 7 indexed citations
20.
Xu, Ethan, Ally Perlina, Sean P. Troth, et al.. (2008). Integrated Pathway Analysis of Rat Urine Metabolic Profiles and Kidney Transcriptomic Profiles To Elucidate the Systems Toxicology of Model Nephrotoxicants. Chemical Research in Toxicology. 21(8). 1548–1561. 67 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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