Samuel Young

608 total citations
10 papers, 380 citations indexed

About

Samuel Young is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Samuel Young has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Samuel Young's work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (4 papers). Samuel Young is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (4 papers). Samuel Young collaborates with scholars based in United States and Netherlands. Samuel Young's co-authors include Ileana S. Mauldin, Craig L. Slingluff, Max O. Meneveau, Víctor H. Engelhard, Nolan A. Wages, Marit M. Melssen, Amber N. Woods, Katie M. Leick, Kevin Lynch and Robin S. Lindsay and has published in prestigious journals such as Journal of Neuroscience, Methods in enzymology on CD-ROM/Methods in enzymology and Cell Reports.

In The Last Decade

Samuel Young

10 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Young United States 8 273 252 59 34 28 10 380
Hadas Lewinsky Israel 9 236 0.9× 91 0.4× 92 1.6× 28 0.8× 27 1.0× 12 338
Ayush Pant United States 9 131 0.5× 142 0.6× 109 1.8× 37 1.1× 40 1.4× 15 300
Negar Hosseinkhani Iran 11 161 0.6× 227 0.9× 105 1.8× 23 0.7× 43 1.5× 12 370
Luke Drury United States 7 144 0.5× 188 0.7× 135 2.3× 46 1.4× 45 1.6× 12 358
Elaine M. Binkley United States 11 120 0.4× 141 0.6× 143 2.4× 21 0.6× 29 1.0× 42 401
Rishi R. Rampersad United States 9 155 0.6× 96 0.4× 123 2.1× 27 0.8× 37 1.3× 16 325
George A. Dominguez United States 5 198 0.7× 126 0.5× 73 1.2× 8 0.2× 27 1.0× 12 279
Erin D. Lucas Australia 8 160 0.6× 125 0.5× 163 2.8× 14 0.4× 25 0.9× 9 372
Kun‐Hui Lu Australia 6 147 0.5× 155 0.6× 204 3.5× 25 0.7× 45 1.6× 8 344
Gustavo Roversi United States 7 153 0.6× 128 0.5× 118 2.0× 91 2.7× 55 2.0× 13 347

Countries citing papers authored by Samuel Young

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Young

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

All Works

10 of 10 papers shown
1.
Young, Samuel, et al.. (2022). CD103 and periplakin are potential biomarkers for response of metastatic melanoma to pembrolizumab. Melanoma Research. 32(6). 440–450. 6 indexed citations
2.
Mauldin, Ileana S., et al.. (2021). Multiplex Immunofluorescence Histology for Immune Cell Infiltrates in Melanoma-Associated Tertiary Lymphoid Structures. Methods in molecular biology. 2265. 573–587. 10 indexed citations
3.
Lynch, Kevin, Samuel Young, Max O. Meneveau, et al.. (2021). Heterogeneity in tertiary lymphoid structure B-cells correlates with patient survival in metastatic melanoma. Journal for ImmunoTherapy of Cancer. 9(6). e002273–e002273. 75 indexed citations
4.
Rodriguez, Anthony B., J. David Peske, Amber N. Woods, et al.. (2021). Immune mechanisms orchestrate tertiary lymphoid structures in tumors via cancer-associated fibroblasts. Cell Reports. 36(3). 109422–109422. 159 indexed citations
5.
Mauldin, Ileana S., Jasmin Jo, Nolan A. Wages, et al.. (2021). Proliferating CD8+ T Cell Infiltrates Are Associated with Improved Survival in Glioblastoma. Cells. 10(12). 3378–3378. 49 indexed citations
6.
Meneveau, Max O., Marit M. Melssen, Kevin Lynch, et al.. (2020). Incomplete Freund’s adjuvant reduces arginase and enhances Th1 dominance, TLR signaling and CD40 ligand expression in the vaccine site microenvironment. Journal for ImmunoTherapy of Cancer. 8(1). e000544–e000544. 23 indexed citations
7.
Rodriguez, Anthony B., J. David Peske, Amber N. Woods, et al.. (2020). Immune Mechanisms Orchestrate Tertiary Lymphoid Structures in Tumors Via Cancer-Associated Fibroblasts. SSRN Electronic Journal. 21 indexed citations
8.
Mauldin, Ileana S., Natasha Sheybani, Samuel Young, Richard J. Price, & Craig L. Slingluff. (2019). Deconvolution of the immunological contexture of mouse tumors with multiplexed immunohistochemistry. Methods in enzymology on CD-ROM/Methods in enzymology. 635. 81–93. 3 indexed citations
9.
Leick, Katie M., Joel Pinczewski, Ileana S. Mauldin, et al.. (2019). Patterns of immune-cell infiltration in murine models of melanoma: roles of antigen and tissue site in creating inflamed tumors. Cancer Immunology Immunotherapy. 68(7). 1121–1132. 13 indexed citations
10.
Young, Samuel, et al.. (2015). Coronin-1 and Calcium Signaling Governs Sympathetic Final Target Innervation. Journal of Neuroscience. 35(9). 3893–3902. 21 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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