Caitlin N. Ryan

868 total citations
9 papers, 339 citations indexed

About

Caitlin N. Ryan is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Ecology. According to data from OpenAlex, Caitlin N. Ryan has authored 9 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Ecology. Recurrent topics in Caitlin N. Ryan's work include Environmental Toxicology and Ecotoxicology (3 papers), Marine animal studies overview (2 papers) and Mercury impact and mitigation studies (2 papers). Caitlin N. Ryan is often cited by papers focused on Environmental Toxicology and Ecotoxicology (3 papers), Marine animal studies overview (2 papers) and Mercury impact and mitigation studies (2 papers). Caitlin N. Ryan collaborates with scholars based in United States, China and Canada. Caitlin N. Ryan's co-authors include Gregory D. Mayer, Luisa Chan, Kimberly J. Griffitt, Ryan Takeshita, Suvarthi Das, Diptadip Dattaroy, Saurabh Chatterjee, James B. Burch, Robert J. Griffitt and Ronnie D. Horner and has published in prestigious journals such as PLoS ONE, Diabetes and Chemosphere.

In The Last Decade

Caitlin N. Ryan

9 papers receiving 336 citations

Peers

Caitlin N. Ryan

MB

HTM

POLLU

IMMUN

ECOLO

Runhua Wang China

Subhas Das India

Qiongzhen Li China

Ramón Gaxiola‐Robles Mexico

Kelly M S Hugunin United States

Marcela Uliano‐Silva Brazil

Pedro Martínez-Paz Spain

John J. Cho United States

Yanyan Yang China

Bin Sun China

Runhua Wang China

Caitlin N. Ryan

130 ×1.1

MB

229 ×2.4

HTM

82 ×1.6

POLLU

36 ×0.8

IMMUN

30 ×0.7

ECOLO

Citations per year, relative to Caitlin N. Ryan Caitlin N. Ryan (= 1×) peers Runhua Wang

Countries citing papers authored by Caitlin N. Ryan

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin N. Ryan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin N. Ryan. 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 Caitlin N. Ryan. The network helps show where Caitlin N. Ryan may publish in the future.

Co-authorship network of co-authors of Caitlin N. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin N. Ryan. A scholar is included among the top collaborators of Caitlin N. Ryan 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 Caitlin N. Ryan. Caitlin N. Ryan 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

1.

Fung, Monica, Nimish Patel, Catherine DeVoe, et al.. (2024). Utility of Serial Microbial Cell-free DNA Sequencing for Inpatient and Outpatient Pathogen Surveillance Among Allogeneic Hematopoietic Stem Cell Transplant Recipients. Open Forum Infectious Diseases. 11(8). ofae330–ofae330. 2 indexed citations

2.

Wollam, Joshua, Matthew Riopel, Yong‐Jiang Xu, et al.. (2019). Microbiota-Produced N-Formyl Peptide fMLF Promotes Obesity-Induced Glucose Intolerance. Diabetes. 68(7). 1415–1426. 28 indexed citations

3.

Bayha, Keith M., Caitlin N. Ryan, Kimberly J. Griffitt, et al.. (2017). Crude oil impairs immune function and increases susceptibility to pathogenic bacteria in southern flounder. PLoS ONE. 12(5). e0176559–e0176559. 39 indexed citations

4.

Ryan, Caitlin N., Mridul K. Thomas, & Elena Litchman. (2017). The effects of phosphorus and temperature on the competitive success of an invasive cyanobacterium. Aquatic Ecology. 51(3). 463–472. 13 indexed citations

5.

Alhasson, Firas, Suvarthi Das, Ratanesh Seth, et al.. (2017). Altered gut microbiome in a mouse model of Gulf War Illness causes neuroinflammation and intestinal injury via leaky gut and TLR4 activation. PLoS ONE. 12(3). e0172914–e0172914. 131 indexed citations

6.

Mudge, Joseph F., et al.. (2015). Monte carlo-based distance analysis using unit mass resolution ICP-MS data for shellfish site of origin verification. Integrated Environmental Assessment and Management. 11(3). 515–516. 1 indexed citations

7.

Brown‐Peterson, Nancy J., Michelle O. Krasnec, Ryan Takeshita, et al.. (2015). A multiple endpoint analysis of the effects of chronic exposure to sediment contaminated with Deepwater Horizon oil on juvenile Southern flounder and their associated microbiomes. Aquatic Toxicology. 165. 197–209. 69 indexed citations

8.

Tang, Song, Yonggan Wu, Caitlin N. Ryan, et al.. (2014). Distinct expression profiles of stress defense and DNA repair genes in Daphnia pulex exposed to cadmium, zinc, and quantum dots. Chemosphere. 120. 92–99. 36 indexed citations

9.

Schaefer, Adam M., John S. Reif, Juli D. Goldstein, et al.. (2009). Serological Evidence of Exposure to Selected Viral, Bacterial, and Protozoal Pathogens in Free-Ranging Atlantic Bottlenose Dolphins (<I>Tursiops truncatus</I>) from the Indian River Lagoon, Florida, and Charleston, South Carolina. Aquatic Mammals. 35(2). 163–170. 20 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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