Noah Tubo

1.8k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Noah Tubo is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Noah Tubo has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 4 papers in Oncology and 2 papers in Hematology. Recurrent topics in Noah Tubo's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (7 papers). Noah Tubo is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (7 papers). Noah Tubo collaborates with scholars based in United States, France and Italy. Noah Tubo's co-authors include Marc K. Jenkins, Irina B. Mazo, Patrick Schaerli, I Huff, Tobias Junt, Amy J. Wagers, E. Ashley Moseman, Steffen Maßberg, Maria Köllnberger and Ulrich H. von Andrian and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Noah Tubo

14 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Immunosurveillance by Hematopoietic Progenitor Cells Trafficking through Blood, Lymph, and Peripheral Tissues

2007 551 citations Steffen Maßberg, Patrick Schaerli et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noah Tubo United States	12	1.1k	284	242	192	94	15	1.4k
Michael Gombert Germany	17	1.3k 1.2×	249 0.9×	302 1.2×	123 0.6×	106 1.1×	28	1.8k
Colleen M. Lau United States	22	1.5k 1.4×	381 1.3×	271 1.1×	228 1.2×	142 1.5×	37	1.9k
Barry D. Hock New Zealand	23	1.1k 1.0×	428 1.5×	252 1.0×	91 0.5×	105 1.1×	62	1.5k
Sonia Néron Canada	19	702 0.7×	428 1.5×	146 0.6×	234 1.2×	93 1.0×	51	1.3k
Michael G. Strainic United States	16	1.1k 1.1×	263 0.9×	84 0.3×	128 0.7×	119 1.3×	23	1.5k
Todd Pearson United States	19	830 0.8×	230 0.8×	328 1.4×	188 1.0×	95 1.0×	30	1.5k
Jörn C. Albring Germany	14	1.9k 1.8×	478 1.7×	372 1.5×	156 0.8×	157 1.7×	26	2.4k
J. Jeremiah Bell United States	18	1.0k 1.0×	289 1.0×	215 0.9×	191 1.0×	208 2.2×	29	1.6k
Andrew Getahun United States	26	1.1k 1.0×	529 1.9×	151 0.6×	111 0.6×	102 1.1×	49	1.7k
Sofia V. Gearty United States	5	563 0.5×	276 1.0×	257 1.1×	84 0.4×	90 1.0×	6	1.1k

Countries citing papers authored by Noah Tubo

Since Specialization

Citations

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

Fields of papers citing papers by Noah Tubo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Tubo

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

All Works

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15 of 15 papers shown

Tubo, Noah, Duncheng Wang, Qiuming He, et al.. (2023). A Public Neoantigen Produced By the SF3B1 K700E Mutation Is a Bona Fide T Cell Target in AML/MDS. Blood. 142(Supplement 1). 6816–6816.

Wong, Karrie, Sharon Lin, Leila J. Williams, et al.. (2021). 186 Development of KSQ-001, an engineered TIL (eTIL) therapy for solid tumors through CRISPR/Cas9-mediated editing of SOCS1. SHILAP Revista de lepidopterología. A198–A198. 1 indexed citations

Tubo, Noah, Brian T. Fife, Antonio J. Pagán, et al.. (2016). Most microbe-specific naïve CD4 ⁺ T cells produce memory cells during infection. Science. 351(6272). 511–514. 46 indexed citations

Laudenbach, Megan, Federico Baruffaldi, Mark D. Distefano, et al.. (2015). The Frequency of Naive and Early-Activated Hapten-Specific B Cell Subsets Dictates the Efficacy of a Therapeutic Vaccine against Prescription Opioid Abuse. The Journal of Immunology. 194(12). 5926–5936. 32 indexed citations

Yang, Jessica A., Noah Tubo, Micah D. Gearhart, Vivian J. Bardwell, & Marc K. Jenkins. (2015). Cutting Edge: Bcl6-Interacting Corepressor Contributes to Germinal Center T Follicular Helper Cell Formation and B Cell Helper Function. The Journal of Immunology. 194(12). 5604–5608. 27 indexed citations

Palin, Amy, Ki‐Duk Song, Jan Lee, et al.. (2015). TCR ITAM multiplicity is required for the generation of follicular helper T-cells. Nature Communications. 6(1). 6982–6982. 29 indexed citations

Nelson, Ryan, Daniel Beisang, Noah Tubo, et al.. (2015). T Cell Receptor Cross-Reactivity between Similar Foreign and Self Peptides Influences Naive Cell Population Size and Autoimmunity. Immunity. 42(6). 1212–1213. 5 indexed citations

Nelson, Ryan, Daniel Beisang, Noah Tubo, et al.. (2014). T Cell Receptor Cross-Reactivity between Similar Foreign and Self Peptides Influences Naive Cell Population Size and Autoimmunity. Immunity. 42(1). 95–107. 124 indexed citations

Tubo, Noah & Marc K. Jenkins. (2014). TCR signal quantity and quality in CD4+ T cell differentiation. Trends in Immunology. 35(12). 591–596. 112 indexed citations

10.

Tubo, Noah & Marc K. Jenkins. (2014). CD4⁺T Cells: Guardians of the Phagosome. Clinical Microbiology Reviews. 27(2). 200–213. 71 indexed citations

11.

Tubo, Noah, Antonio J. Pagán, Justin J. Taylor, et al.. (2013). Single Naive CD4+ T Cells from a Diverse Repertoire Produce Different Effector Cell Types during Infection. Cell. 153(4). 785–796. 335 indexed citations

12.

Lugt, Bryan Vander, Noah Tubo, Marianne Boes, et al.. (2013). CCR7 Plays No Appreciable Role in Trafficking of Central Memory CD4 T Cells to Lymph Nodes. The Journal of Immunology. 191(6). 3119–3127. 30 indexed citations

13.

Tubo, Noah, et al.. (2012). A Systemically-Administered Small Molecule Antagonist of CCR9 Acts as a Tissue-Selective Inhibitor of Lymphocyte Trafficking. PLoS ONE. 7(11). e50498–e50498. 14 indexed citations

14.

Tubo, Noah, James B. McLachlan, & James J. Campbell. (2011). Chemokine Receptor Requirements for Epidermal T-Cell Trafficking. American Journal Of Pathology. 178(6). 2496–2503. 35 indexed citations

15.

Maßberg, Steffen, Patrick Schaerli, Maria Köllnberger, et al.. (2007). Immunosurveillance by Hematopoietic Progenitor Cells Trafficking through Blood, Lymph, and Peripheral Tissues. Cell. 131(5). 994–1008. 551 indexed citations breakdown →

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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