Ryan P. Sullivan

1.9k total citations
35 papers, 1.3k citations indexed

About

Ryan P. Sullivan is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ryan P. Sullivan has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 9 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Ryan P. Sullivan's work include Immune Cell Function and Interaction (22 papers), MicroRNA in disease regulation (9 papers) and IL-33, ST2, and ILC Pathways (4 papers). Ryan P. Sullivan is often cited by papers focused on Immune Cell Function and Interaction (22 papers), MicroRNA in disease regulation (9 papers) and IL-33, ST2, and ILC Pathways (4 papers). Ryan P. Sullivan collaborates with scholars based in United States, Australia and Austria. Ryan P. Sullivan's co-authors include Todd A. Fehniger, Jeffrey Leong, Rizwan Romee, Megan A. Cooper, Julie Chase, Catherine R. Keppel, Stephanie Schneider, Stephanie Schneider, Stephanie E. Schneider and Elizabeth Germino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ryan P. Sullivan

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan P. Sullivan United States 14 1.0k 357 284 214 123 35 1.3k
Liqun Luo China 21 895 0.9× 697 2.0× 329 1.2× 73 0.3× 19 0.2× 36 1.5k
Lawrence R. Shiow United States 9 1.2k 1.2× 183 0.5× 464 1.6× 64 0.3× 53 0.4× 9 1.8k
Marina Nanni Italy 10 1.2k 1.2× 413 1.2× 150 0.5× 21 0.1× 134 1.1× 15 1.5k
Wendy C. Rowan United Kingdom 15 663 0.7× 195 0.5× 445 1.6× 44 0.2× 54 0.4× 22 1.2k
Janelle Waite United States 12 1.1k 1.1× 369 1.0× 441 1.6× 45 0.2× 83 0.7× 16 1.7k
Nadine Tarantino France 17 417 0.4× 214 0.6× 478 1.7× 278 1.3× 17 0.1× 32 1.1k
Jellert T. Gaublomme United States 8 584 0.6× 159 0.4× 1.1k 3.8× 236 1.1× 42 0.3× 11 1.7k
Shiwei Zheng United States 9 431 0.4× 186 0.5× 862 3.0× 171 0.8× 60 0.5× 11 1.2k
Alexis J. Combes United States 18 1.1k 1.1× 613 1.7× 526 1.9× 148 0.7× 28 0.2× 37 1.7k
Reiner Schulte Germany 9 315 0.3× 169 0.5× 422 1.5× 92 0.4× 166 1.3× 14 871

Countries citing papers authored by Ryan P. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Ryan P. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan P. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan P. Sullivan. A scholar is included among the top collaborators of Ryan P. Sullivan 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 Ryan P. Sullivan. Ryan P. Sullivan 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.
Winter, Sophie L., Josh Moore, Adriana Tavares, et al.. (2025). A global effort toward standards for data sharing in biomedical imaging. EMBO Reports. 27(1). 10–14.
2.
Caffery, Liam J, Ryan P. Sullivan, Aideen McInerney‐Leo, et al.. (2025). Privacy in Imaging for Dermatology Research. Journal of Investigative Dermatology. 145(11). 2662–2664. 1 indexed citations
3.
Bai, Lei, Dongang Wang, Michael Barnett, et al.. (2024). Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artificial Intelligence in Medicine. 152. 102872–102872. 10 indexed citations
4.
Andrews, Jessica L., Andrew Zalesky, Shalima S. Nair, et al.. (2023). Genetic and Epigenetic Regulation in Lingo-1: Effects on Cognitive Function and White Matter Microstructure in a Case-Control Study for Schizophrenia. International Journal of Molecular Sciences. 24(21). 15624–15624. 2 indexed citations
5.
Wagner, Julia A., Pamela Wong, Timothy Schappe, et al.. (2020). Stage-Specific Requirement for Eomes in Mature NK Cell Homeostasis and Cytotoxicity. Cell Reports. 31(9). 107720–107720. 46 indexed citations
6.
Wagner, Julia A., Rizwan Romee, Maximillian Rosario, et al.. (2016). Human CD56bright NK Cells Acquire Potent Anti-Leukemia Functionality Following IL-15 Priming. Blood. 128(22). 550–550.
7.
Leong, Jeffrey, Stephanie E. Schneider, Ryan P. Sullivan, et al.. (2015). PTEN regulates natural killer cell trafficking in vivo. Proceedings of the National Academy of Sciences. 112(7). E700–9. 26 indexed citations
8.
Leong, Jeffrey, Julie Chase, Rizwan Romee, et al.. (2014). Preactivation with IL-12, IL-15, and IL-18 Induces CD25 and a Functional High-Affinity IL-2 Receptor on Human Cytokine-Induced Memory-like Natural Killer Cells. Biology of Blood and Marrow Transplantation. 20(4). 463–473. 202 indexed citations
9.
Leong, Jeffrey, et al.. (2014). PTEN Regulates Natural Killer Cell Trafficking in Vivo. Blood. 124(21). 753–753. 1 indexed citations
10.
O’Connell, Cathal, Michael J. Higgins, Ryan P. Sullivan, et al.. (2013). Nanoscale platinum printing on insulating substrates. Nanotechnology. 24(50). 505301–505301. 6 indexed citations
11.
Sullivan, Ryan P., Jeffrey Leong, & Todd A. Fehniger. (2013). MicroRNA regulation of natural killer cells. Frontiers in Immunology. 4. 44–44. 47 indexed citations
12.
Wagner, Michał, Cathal O’Connell, David G. Harman, et al.. (2013). Synthesis and optimization of PEDOT:PSS based ink for printing nanoarrays using Dip-Pen Nanolithography. Synthetic Metals. 181. 64–71. 11 indexed citations
14.
Sullivan, Ryan P., Leslie A. Fogel, Jeffrey Leong, et al.. (2013). MicroRNA-155 Tunes Both the Threshold and Extent of NK Cell Activation via Targeting of Multiple Signaling Pathways. The Journal of Immunology. 191(12). 5904–5913. 49 indexed citations
15.
Romee, Rizwan, Stephanie Schneider, Jeffrey Leong, et al.. (2012). Cytokine activation induces human memory-like NK cells. Blood. 120(24). 4751–4760. 491 indexed citations
16.
Fehniger, Todd A., Todd Wylie, Elizabeth Germino, et al.. (2010). Next-generation sequencing identifies the natural killer cell microRNA transcriptome. Genome Research. 20(11). 1590–1604. 120 indexed citations
17.
Bae, Brian, Ryan P. Sullivan, Huimin Zhao, & Satish K. Nair. (2010). Structure and Engineering of l-Arabinitol 4-Dehydrogenase from Neurospora crassa. Journal of Molecular Biology. 402(1). 230–240. 16 indexed citations
18.
Sullivan, Ryan P., et al.. (2010). Cloning, characterization, and engineering of fungal L-arabinitol dehydrogenases. Applied Microbiology and Biotechnology. 87(4). 1407–1414. 10 indexed citations
19.
Bass, Caroline E., et al.. (2010). Optogenetic control of striatal dopamine release in rats. Journal of Neurochemistry. 114(5). 1344–1352. 80 indexed citations
20.
Nair, Nikhil U., Zengyi Shao, Hua Zhao, et al.. (2008). Biobutanol from yeast. A synergistic genome and protein engineering approach. 1 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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