Jeffery Shabanowitz

440 total citations
10 papers, 375 citations indexed

About

Jeffery Shabanowitz is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Jeffery Shabanowitz has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Genetics. Recurrent topics in Jeffery Shabanowitz's work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Jeffery Shabanowitz is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Jeffery Shabanowitz collaborates with scholars based in United States and Canada. Jeffery Shabanowitz's co-authors include Donald F. Hunt, Carl Lynch, Daniel A. Spyker, Joseph T. Opferman, Qinghui Hu, Philip G. Ashton‐Rickardt, Heeseog Kang, David M. Virshup, Gary S. Coombs and Wojciech Swiatek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Jeffery Shabanowitz

10 papers receiving 363 citations

Peers

Jeffery Shabanowitz

MB

IMMUN

CMN

PMH

BE

Lien Beckers United States

Mami Shibata Japan

Shao-Bin Wang China

Corinna Schlosser United Kingdom

Jui–Hsia Weng Taiwan

Joseph DeCourcey Ireland

Amy M. Palubinsky United States

Qicai Liu China

Lea L. Weston United States

A Ridley United Kingdom

Lien Beckers United States

Jeffery Shabanowitz

225 ×1.4

MB

100 ×0.7

IMMUN

27 ×0.4

CMN

8 ×0.3

PMH

15 ×0.6

BE

Citations per year, relative to Jeffery Shabanowitz Jeffery Shabanowitz (= 1×) peers Lien Beckers

Countries citing papers authored by Jeffery Shabanowitz

Since Specialization

Citations

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

Fields of papers citing papers by Jeffery Shabanowitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffery Shabanowitz

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

All Works

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10 of 10 papers shown

1.

Chrestensen, Carol A., Melanie Schroeder, Jared W. Pelo, et al.. (2008). Inhibition of tristetraprolin deadenylation by poly(A) binding protein. American Journal of Physiology-Gastrointestinal and Liver Physiology. 295(3). G421–G430. 15 indexed citations

2.

Swiatek, Wojciech, Heeseog Kang, Benjamin A. García, et al.. (2006). Negative Regulation of LRP6 Function by Casein Kinase I ϵ Phosphorylation. Journal of Biological Chemistry. 281(18). 12233–12241. 40 indexed citations

3.

Yue, Guihua Eileen, Michael G. Roper, Abigail Pulsipher, et al.. (2005). Protein digestion and phosphopeptide enrichment on a glass microchip. Analytica Chimica Acta. 564(1). 116–122. 29 indexed citations

4.

Saibil, Samuel D., Toshiaki Ohteki, Forest M. White, et al.. (2003). Weak agonist self‐peptides promote selection and tuning of virus‐specific T cells. European Journal of Immunology. 33(3). 685–696. 15 indexed citations

5.

Hanss, Basil, Edgar Leal-Pinto, Avelino Teixeira, et al.. (2002). Cytosolic malate dehydrogenase confers selectivity of the nucleic acid-conducting channel. Proceedings of the National Academy of Sciences. 99(3). 1707–1712. 28 indexed citations

6.

Gulden, Pamela H., Richard A. Pierce, Jeffrey Shabanowitz, et al.. (1997). A naturally processed peptide presented by HLA-A*0201 is expressed at low abundance and recognized by an alloreactive CD8+ cytotoxic T cell with apparent high affinity. The Journal of Immunology. 158(12). 5797–5804. 40 indexed citations

7.

Hu, Qinghui, et al.. (1997). Specific Recognition of Thymic Self-Peptides Induces the Positive Selection of Cytotoxic T Lymphocytes. Immunity. 7(2). 221–231. 80 indexed citations

8.

Kaliyaperumal, Arunan, Rocco Falchetto, Aaron R. Cox, et al.. (1995). Functional expression and recognition of nonclassical MHC class I T10b is not peptide-dependent. The Journal of Immunology. 155(5). 2379–2386. 25 indexed citations

9.

Yates, Nathan A., et al.. (1995). A novel N-terminal derivative designed to simplify peptide fragmentation. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 6 indexed citations

10.

Spyker, Daniel A., et al.. (1980). Poisoning with 4-Aminopyridine: Report of Three Cases. Clinical toxicology. 16(4). 487–497. 97 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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