Jennifer E. Smith‐Garvin

2.3k total citations · 1 hit paper
7 papers, 1.7k citations indexed

About

Jennifer E. Smith‐Garvin is a scholar working on Immunology, Molecular Biology and Toxicology. According to data from OpenAlex, Jennifer E. Smith‐Garvin has authored 7 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Toxicology. Recurrent topics in Jennifer E. Smith‐Garvin's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (3 papers). Jennifer E. Smith‐Garvin is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (3 papers). Jennifer E. Smith‐Garvin collaborates with scholars based in United States, Israel and Germany. Jennifer E. Smith‐Garvin's co-authors include Martha S. Jordan, Gary A. Koretzky, Tao Zou, Jiyeon S. Kim, Jonathan S. Maltzman, Mercy Gohil, Jeremy C. Burns, E. John Wherry, Shannon A. Carty and Scott M. Gordon and has published in prestigious journals such as Nature, The EMBO Journal and Blood.

In The Last Decade

Jennifer E. Smith‐Garvin

7 papers receiving 1.7k 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.

T Cell Activation

2009 1.5k citations Jennifer E. Smith‐Garvin, Gary A. Koretzky et al. Annual Review of Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer E. Smith‐Garvin United States	6	1.2k	492	492	106	106	7	1.7k
Sašo Čemerski United States	16	1.2k 1.0×	441 0.9×	377 0.8×	162 1.5×	78 0.7×	21	1.7k
Isabelle Vergnon France	25	1.4k 1.1×	395 0.8×	721 1.5×	62 0.6×	77 0.7×	33	1.7k
Wolfgang Paster Austria	21	1.0k 0.8×	609 1.2×	458 0.9×	171 1.6×	48 0.5×	37	1.5k
Byron B. Au‐Yeung United States	17	1.1k 0.9×	368 0.7×	423 0.9×	118 1.1×	46 0.4×	27	1.5k
Wan‐Lin Lo United States	17	901 0.7×	565 1.1×	367 0.7×	96 0.9×	161 1.5×	24	1.5k
Mario Piccoli Italy	26	1.1k 0.9×	432 0.9×	346 0.7×	110 1.0×	101 1.0×	48	1.7k
Christel Goudot France	13	975 0.8×	558 1.1×	425 0.9×	38 0.4×	92 0.9×	21	1.5k
Emanuele Giurisato Italy	22	1.1k 0.9×	788 1.6×	440 0.9×	56 0.5×	138 1.3×	39	2.1k
Beom K. Choi South Korea	29	1.9k 1.6×	460 0.9×	882 1.8×	126 1.2×	160 1.5×	70	2.6k

Countries citing papers authored by Jennifer E. Smith‐Garvin

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer E. Smith‐Garvin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Smith‐Garvin. 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 Jennifer E. Smith‐Garvin. The network helps show where Jennifer E. Smith‐Garvin may publish in the future.

Co-authorship network of co-authors of Jennifer E. Smith‐Garvin

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Smith‐Garvin. A scholar is included among the top collaborators of Jennifer E. Smith‐Garvin 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 Jennifer E. Smith‐Garvin. Jennifer E. Smith‐Garvin 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.

Smith‐Garvin, Jennifer E. & Luis J. Sigal. (2013). Memory cells sound the alarm. Nature. 497(7448). 194–196. 3 indexed citations

2.

Saveliev, Alexander, Robert Köchl, Mustapha Faroudi, et al.. (2012). Mechanism and function of Vav1 localization in TCR signaling. Journal of Cell Science. 125(Pt 22). 5302–14. 26 indexed citations

3.

Sela, Meirav, Dvora Beach, Thomas Oellerich, et al.. (2011). Sequential phosphorylation of SLP‐76 at tyrosine 173 is required for activation of T and mast cells. The EMBO Journal. 30(15). 3160–3172. 22 indexed citations

4.

Wu, Gregory F., Michelle Schmidt, Jennifer E. Smith‐Garvin, et al.. (2011). Conditional deletion of SLP‐76 in mature T cells abrogates peripheral immune responses. European Journal of Immunology. 41(7). 2064–2073. 14 indexed citations

5.

Gordon, Scott M., Shannon A. Carty, Jiyeon S. Kim, et al.. (2011). Requirements for Eomesodermin and Promyelocytic Leukemia Zinc Finger in the Development of Innate-Like CD8+ T Cells. The Journal of Immunology. 186(8). 4573–4578. 54 indexed citations

6.

Smith‐Garvin, Jennifer E., Jeremy C. Burns, Mercy Gohil, et al.. (2010). T-cell receptor signals direct the composition and function of the memory CD8+ T-cell pool. Blood. 116(25). 5548–5559. 56 indexed citations

7.

Smith‐Garvin, Jennifer E., Gary A. Koretzky, & Martha S. Jordan. (2009). T Cell Activation. Annual Review of Immunology. 27(1). 591–619. 1541 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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