Matthew Smith-Raska

987 total citations · 1 hit paper
7 papers, 752 citations indexed

About

Matthew Smith-Raska is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Matthew Smith-Raska has authored 7 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Hematology. Recurrent topics in Matthew Smith-Raska's work include T-cell and B-cell Immunology (3 papers), Genetic Syndromes and Imprinting (2 papers) and Immunotherapy and Immune Responses (2 papers). Matthew Smith-Raska is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Genetic Syndromes and Imprinting (2 papers) and Immunotherapy and Immune Responses (2 papers). Matthew Smith-Raska collaborates with scholars based in United States and Greece. Matthew Smith-Raska's co-authors include Boris Reizis, Teresita L. Arenzana, Jack E. Dixon, Siddhartha Mukherjee, Michael Churchill, Ji Zhang, Apostolos Klinakis, Stuart P. Weisberg, Leonid A. Mirny and Colleen M. Lau and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Frontiers in Immunology.

In The Last Decade

Matthew Smith-Raska

7 papers receiving 747 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.

Notch–RBP-J signaling controls the homeostasis of CD8− dendritic cells in the spleen

2007 653 citations Matthew Smith-Raska, Boris Reizis et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Smith-Raska United States	5	576	205	84	69	44	7	752
Sally V. Watt Australia	8	531 0.9×	98 0.5×	70 0.8×	69 1.0×	39 0.9×	10	660
Christina Helbig Netherlands	9	761 1.3×	158 0.8×	202 2.4×	84 1.2×	27 0.6×	11	919
Federica Capolunghi Italy	9	425 0.7×	125 0.6×	50 0.6×	65 0.9×	58 1.3×	10	645
Giada Amodio Italy	16	624 1.1×	143 0.7×	72 0.9×	46 0.7×	55 1.3×	27	805
Marko Janke Germany	9	415 0.7×	129 0.6×	106 1.3×	58 0.8×	36 0.8×	12	570
Marcella Flores United States	5	551 1.0×	124 0.6×	171 2.0×	33 0.5×	28 0.6×	5	657
Ehssan Sharif‐Askari Canada	10	398 0.7×	159 0.8×	74 0.9×	54 0.8×	61 1.4×	13	522
Shruti Athale United States	4	432 0.8×	219 1.1×	45 0.5×	84 1.2×	31 0.7×	5	593
Ken-ichi Hirano Japan	10	284 0.5×	254 1.2×	93 1.1×	111 1.6×	44 1.0×	22	639
Cecilia Oderup United States	10	866 1.5×	148 0.7×	183 2.2×	53 0.8×	113 2.6×	13	1.0k

Countries citing papers authored by Matthew Smith-Raska

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Smith-Raska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Smith-Raska. 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 Matthew Smith-Raska. The network helps show where Matthew Smith-Raska may publish in the future.

Co-authorship network of co-authors of Matthew Smith-Raska

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

All Works

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7 of 7 papers shown

1.

Cullen, Sean M., et al.. (2021). Effects of noninherited ancestral genotypes on offspring phenotypes†. Biology of Reproduction. 105(3). 747–760. 3 indexed citations

2.

Smith-Raska, Matthew, et al.. (2020). Evidence for germline non-genetic inheritance of human phenotypes and diseases. Clinical Epigenetics. 12(1). 136–136. 36 indexed citations

3.

Smith-Raska, Matthew, Teresita L. Arenzana, Louise M. D’Cruz, et al.. (2018). The Transcription Factor Zfx Regulates Peripheral T Cell Self-Renewal and Proliferation. Frontiers in Immunology. 9. 1482–1482. 10 indexed citations

4.

Smith-Raska, Matthew, et al.. (2016). Emergent Pericardiocentesis. NeoReviews. 17(10). e627–e629. 2 indexed citations

5.

Weisberg, Stuart P., Matthew Smith-Raska, Ji Zhang, et al.. (2014). ZFX Controls Propagation and Prevents Differentiation of Acute T-Lymphoblastic and Myeloid Leukemia. Cell Reports. 6(3). 528–540. 22 indexed citations

6.

Arenzana, Teresita L., Matthew Smith-Raska, & Boris Reizis. (2009). Transcription factor Zfx controls BCR-induced proliferation and survival of B lymphocytes. Blood. 113(23). 5857–5867. 26 indexed citations

7.

Smith-Raska, Matthew, et al.. (2007). Notch–RBP-J signaling controls the homeostasis of CD8− dendritic cells in the spleen. The Journal of Experimental Medicine. 204(7). 1653–1664. 653 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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