Jeffrey A. Carrell

3.1k total citations
11 papers, 866 citations indexed

About

Jeffrey A. Carrell is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jeffrey A. Carrell has authored 11 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jeffrey A. Carrell's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immune Response and Inflammation (3 papers). Jeffrey A. Carrell is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immune Response and Inflammation (3 papers). Jeffrey A. Carrell collaborates with scholars based in United States. Jeffrey A. Carrell's co-authors include Henrik S. Olsen, Svetlana Sosnovtseva, Bernardetta Nardelli, Thi Migone, Judith G. Giri, Ping Feng, David M. Hilbert, Ornella Belvedere, Paul A. Moore and Viktor Roschke and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Jeffrey A. Carrell

10 papers receiving 842 citations

Peers

Jeffrey A. Carrell
Sambasiva P. Rao United States
Keith M. Hamel United States
Barbara J. Vilen United States
Masanao Asano United States
T Kobata Japan
Vicky M. Lentz United States
Frank J. Ward United Kingdom
Sambasiva P. Rao United States
Jeffrey A. Carrell
Citations per year, relative to Jeffrey A. Carrell Jeffrey A. Carrell (= 1×) peers Sambasiva P. Rao

Countries citing papers authored by Jeffrey A. Carrell

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Carrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Carrell. 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 Jeffrey A. Carrell. The network helps show where Jeffrey A. Carrell may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Carrell

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

All Works

11 of 11 papers shown
1.
Bafor, Enitome E., Jeffrey A. Carrell, Megan Karwan, et al.. (2023). Isolation of single cells from individual mouse ovaries for flow cytometry and functional analysis. STAR Protocols. 4(4). 102710–102710. 3 indexed citations
2.
Wright, Paul W., Hongchuan Li, Erik Anderson, et al.. (2023). The KIR2DL1 intermediate upstream element participates in gene activation. Immunogenetics. 75(6). 495–506.
3.
Groves, Christopher J., Jeffrey A. Carrell, R W Grady, et al.. (2018). CD19-positive antibody-secreting cells provide immune memory. Blood Advances. 2(22). 3163–3176. 19 indexed citations
4.
Britton, Zachary T., Jeffrey A. Carrell, Trevor Wilkinson, et al.. (2018). Tag-on-Demand: exploiting amber codon suppression technology for the enrichment of high-expressing membrane protein cell lines. Protein Engineering Design and Selection. 31(10). 389–398. 4 indexed citations
5.
Carrell, Jeffrey A. & Christopher J. Groves. (2017). OMIP‐043: Identification of human antibody secreting cell subsets. Cytometry Part A. 93(2). 190–193. 7 indexed citations
6.
Luster, Troy A., Jeffrey A. Carrell, Yun Hee Cho, et al.. (2012). Fusion Toxin BLyS-Gelonin Inhibits Growth of Malignant Human B Cell Lines In Vitro and In Vivo. PLoS ONE. 7(10). e47361–e47361. 10 indexed citations
7.
Luster, Troy A., et al.. (2009). Mapatumumab and lexatumumab induce apoptosis in TRAIL-R1 and TRAIL-R2 antibody-resistant NSCLC cell lines when treated in combination with bortezomib. Molecular Cancer Therapeutics. 8(2). 292–302. 54 indexed citations
8.
Halpern, Wendy, Todd Riccobene, Kevin C. Baker, et al.. (2002). AlbugraninTM, a Recombinant Human Granulocyte Colony Stimulating Factor (G-CSF) Genetically Fused to Recombinant Human Albumin Induces Prolonged Myelopoietic Effects in Mice and Monkeys. Pharmaceutical Research. 19(11). 1720–1729. 68 indexed citations
9.
Parry, Tom J., Todd Riccobene, Steven J. Strawn, et al.. (2001). Pharmacokinetics and Immunological Effects of Exogenously Administered Recombinant Human B Lymphocyte Stimulator (BLyS) in Mice. Journal of Pharmacology and Experimental Therapeutics. 296(2). 396–404. 38 indexed citations
10.
Nardelli, Bernardetta, Ornella Belvedere, Viktor Roschke, et al.. (2001). Synthesis and release of B-lymphocyte stimulator from myeloid cells. Blood. 97(1). 198–204. 477 indexed citations
11.
Shi, Yanggu, Stephen J. Ullrich, Jun Zhang, et al.. (2000). A Novel Cytokine Receptor-Ligand Pair. Journal of Biological Chemistry. 275(25). 19167–19176. 186 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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