Ryan Stott

1.3k total citations · 1 hit paper
9 papers, 923 citations indexed

About

Ryan Stott is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Ryan Stott has authored 9 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Ryan Stott's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Ryan Stott is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Ryan Stott collaborates with scholars based in United States, China and Italy. Ryan Stott's co-authors include Ram Madabhushi, Elizabeta Gjoneska, Alexi Nott, Li-Huei Tsai, Ping‐Chieh Pao, Andreas R. Pfenning, Sukhee Cho, Fan Gao, Richard Rueda and Ling Pan and has published in prestigious journals such as Cell, PLoS ONE and Cancer Research.

In The Last Decade

Ryan Stott

8 papers receiving 919 citations

Hit Papers

Activity-Induced DNA Breaks Govern the Expression of Neur... 2015 2026 2018 2022 2015 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
Ryan Stott United States 7 470 253 115 111 80 9 923
Ariya D. Lapan United States 6 569 1.2× 795 3.1× 167 1.5× 182 1.6× 22 0.3× 6 1.5k
Darienne R. Myers United States 12 749 1.6× 556 2.2× 178 1.5× 86 0.8× 41 0.5× 15 1.3k
Massimo Ulivi Italy 16 410 0.9× 178 0.7× 135 1.2× 35 0.3× 21 0.3× 27 879
Raúl Jiménez Heredia Austria 12 293 0.6× 114 0.5× 22 0.2× 75 0.7× 20 0.3× 32 581
Miwa Washida Japan 12 467 1.0× 187 0.7× 203 1.8× 142 1.3× 12 0.1× 15 871
Helena Sim Australia 13 635 1.4× 115 0.5× 88 0.8× 554 5.0× 43 0.5× 15 1.0k
Ameya S. Champhekar United States 11 357 0.8× 410 1.6× 158 1.4× 27 0.2× 15 0.2× 15 872
Martha Hughes Canada 15 555 1.2× 214 0.8× 59 0.5× 197 1.8× 11 0.1× 18 1.1k
Ryan M. Teague United States 19 571 1.2× 757 3.0× 499 4.3× 600 5.4× 49 0.6× 38 1.7k
Catheryne Whittle United Kingdom 8 466 1.0× 71 0.3× 28 0.2× 202 1.8× 25 0.3× 8 690

Countries citing papers authored by Ryan Stott

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Stott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Stott

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

All Works

9 of 9 papers shown
1.
Yu, Tingsheng, Jawad Abousoud, Ryan Stott, et al.. (2025). Abstract 4075: GEM-X Flex: scalable and cost-effective whole transcriptome single cell analysis for cancer marker detection from FFPE tissue section slides. Cancer Research. 85(8_Supplement_1). 4075–4075.
2.
Stott, Ryan, et al.. (2021). Profiling DNA break sites and transcriptional changes in response to contextual fear learning. PLoS ONE. 16(7). e0249691–e0249691. 35 indexed citations
3.
Madabhushi, Ram, Fan Gao, Andreas R. Pfenning, et al.. (2015). Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes. Cell. 161(7). 1592–1605. 489 indexed citations breakdown →
4.
Lee, K., et al.. (2014). NKT Cells May Play a Role in B Cell-Dependent Transplant Tolerance.. Transplantation. 98. 28–28. 1 indexed citations
5.
Lee, Kang Mi, Ryan Stott, Gaoping Zhao, et al.. (2014). TGF‐β‐producing regulatory B cells induce regulatory T cells and promote transplantation tolerance. European Journal of Immunology. 44(6). 1728–1736. 201 indexed citations
6.
Kim, James I., Ryan Stott, Kang Mi Lee, et al.. (2013). Elevated Levels of Interferon-γ Production by Memory T Cells Do Not Promote Transplant Tolerance Resistance in Aged Recipients. PLoS ONE. 8(12). e82856–e82856. 6 indexed citations
7.
Kim, Jong‐Il, Ryan Stott, Heidi Yeh, et al.. (2012). Anti-CD45RB/Anti-TIM-1-Induced Tolerance Requires Regulatory B Cells. American Journal of Transplantation. 12(8). 2072–2078. 89 indexed citations
8.
Rood, Benjamin D., Ryan Stott, Samantha You, et al.. (2012). Site of origin of and sex differences in the vasopressin innervation of the mouse (Mus musculus) brain. The Journal of Comparative Neurology. 521(10). 2321–2358. 90 indexed citations
9.
Lee, Kang Mi, Heidi Yeh, Gaoping Zhao, et al.. (2012). B-Cell Depletion Improves Islet Allograft Survival with Anti-CD45RB. Cell Transplantation. 23(1). 51–58. 12 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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