Robert C. Rickert

8.2k total citations · 1 hit paper
81 papers, 6.4k citations indexed

About

Robert C. Rickert is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Robert C. Rickert has authored 81 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Immunology, 34 papers in Molecular Biology and 16 papers in Cancer Research. Recurrent topics in Robert C. Rickert's work include T-cell and B-cell Immunology (41 papers), Immune Cell Function and Interaction (35 papers) and Immunotherapy and Immune Responses (16 papers). Robert C. Rickert is often cited by papers focused on T-cell and B-cell Immunology (41 papers), Immune Cell Function and Interaction (35 papers) and Immunotherapy and Immune Responses (16 papers). Robert C. Rickert collaborates with scholars based in United States, Germany and Italy. Robert C. Rickert's co-authors include Klaus Rajewsky, Jürgen Roes, Sidne A. Omori, Dennis C. Otero, Julia Jellusova, Ana V. Miletic, Matthew H. Cato, Mark Boothby, Michael Karin and Bahram Khadivi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Robert C. Rickert

81 papers receiving 6.4k citations

Hit Papers

Impairment of T-cell-depe... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert C. Rickert 3.8k 2.6k 1.4k 1.2k 623 81 6.4k
Barbara A. Malynn 3.3k 0.9× 2.7k 1.0× 1.3k 0.9× 815 0.7× 303 0.5× 48 5.6k
Robert Rottapel 3.7k 1.0× 4.0k 1.5× 1.0k 0.7× 2.5k 2.1× 618 1.0× 134 8.2k
Nils Holler 3.9k 1.0× 5.0k 1.9× 1.5k 1.1× 1.1k 1.0× 257 0.4× 20 8.3k
John Manis 3.0k 0.8× 6.2k 2.3× 979 0.7× 2.3k 2.0× 412 0.7× 78 9.3k
Vu N. Ngo 4.8k 1.3× 2.3k 0.9× 890 0.6× 2.3k 2.0× 430 0.7× 42 7.6k
Teresa G. Cachero 4.3k 1.2× 1.4k 0.5× 759 0.5× 705 0.6× 397 0.6× 29 6.6k
Elaine M. Hurt 2.0k 0.5× 3.1k 1.2× 1.0k 0.7× 2.4k 2.1× 298 0.5× 59 6.3k
Rie Watanabe‐Fukunaga 3.2k 0.8× 4.2k 1.6× 663 0.5× 976 0.8× 207 0.3× 21 6.9k
Juan M. Zapata 1.8k 0.5× 4.0k 1.5× 1.2k 0.9× 1.4k 1.2× 1.0k 1.6× 81 6.2k
Karen E. Pollok 1.6k 0.4× 2.7k 1.0× 671 0.5× 1.7k 1.5× 677 1.1× 142 5.6k

Countries citing papers authored by Robert C. Rickert

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Rickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Rickert. 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 Robert C. Rickert. The network helps show where Robert C. Rickert may publish in the future.

Co-authorship network of co-authors of Robert C. Rickert

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

All Works

20 of 20 papers shown
1.
Bhat, Numana, Richard Virgen‐Slane, Parham Ramezani-Rad, et al.. (2021). Regnase-1 is essential for B cell homeostasis to prevent immunopathology. The Journal of Experimental Medicine. 218(5). 17 indexed citations
2.
Ramezani-Rad, Parham, et al.. (2020). Cyclin D3 Governs Clonal Expansion of Dark Zone Germinal Center B Cells. Cell Reports. 33(7). 108403–108403. 28 indexed citations
3.
Deshpande, Anagha, Anagha Deshpande, Benson Chen, et al.. (2018). Targeting MYC-Driven B-Cell Lymphoma By Inhibition of the Histone Methyltransferase DOT1L. Blood. 132(Supplement 1). 2839–2839. 1 indexed citations
4.
Ramezani-Rad, Parham & Robert C. Rickert. (2017). Murine models of germinal center derived-lymphomas. Current Opinion in Immunology. 45. 31–36. 12 indexed citations
5.
Jin, Hyun Yong, Alicia González-Martín, Ana V. Miletic, et al.. (2015). Transfection of microRNA Mimics Should Be Used with Caution. Frontiers in Genetics. 6. 340–340. 137 indexed citations
6.
Scortegagna, Marzia, Chelsea M. Ruller, Yongmei Feng, et al.. (2013). Genetic inactivation or pharmacological inhibition of Pdk1 delays development and inhibits metastasis of BrafV600E::Pten–/– melanoma. Oncogene. 33(34). 4330–4339. 56 indexed citations
7.
Cato, Matthew H., et al.. (2013). Censoring of Self-Reactive B Cells by Follicular Dendritic Cell–Displayed Self-Antigen. The Journal of Immunology. 191(3). 1082–1090. 19 indexed citations
8.
Vang, Torkel, Johannes Landskron, Marte K. Viken, et al.. (2013). The autoimmune-predisposing variant of lymphoid tyrosine phosphatase favors T helper 1 responses. Human Immunology. 74(5). 574–585. 46 indexed citations
9.
Vang, Torkel, Wallace H. Liu, Laurence Delacroix, et al.. (2012). LYP inhibits T-cell activation when dissociated from CSK. Nature Chemical Biology. 8(5). 437–446. 109 indexed citations
10.
Cato, Matthew H., et al.. (2011). Magnetic-based purification of untouched mouse germinal center B cells for ex vivo manipulation and biochemical analysis. Nature Protocols. 6(7). 953–960. 23 indexed citations
11.
Miletic, Ana V., David Mills, Sidne A. Omori, et al.. (2010). Coordinate suppression of B cell lymphoma by PTEN and SHIP phosphatases. The Journal of Experimental Medicine. 207(11). 2407–2420. 74 indexed citations
12.
Cantor, Joseph M., Cecille D. Browne, Raphael Ruppert, et al.. (2009). CD98hc facilitates B cell proliferation and adaptive humoral immunity. Nature Immunology. 10(4). 412–419. 85 indexed citations
13.
Omori, Sidne A. & Robert C. Rickert. (2007). Phosphatidylinositol 3-kinase (PI3K) Signaling and Regulation of the Antibody Response. Cell Cycle. 6(4). 397–402. 20 indexed citations
14.
Enzler, Thomas, Giuseppina Bonizzi, Gregg J. Silverman, et al.. (2006). Alternative and Classical NF-κB Signaling Retain Autoreactive B Cells in the Splenic Marginal Zone and Result in Lupus-like Disease. Immunity. 25(3). 403–415. 141 indexed citations
15.
Kolla, Ravi V., et al.. (2005). A Critical Role for Complement C3d and the B Cell Coreceptor (CD19/CD21) Complex in the Initiation of Inflammatory Arthritis. The Journal of Immunology. 175(8). 5379–5389. 44 indexed citations
16.
Otero, Dennis C., et al.. (2005). CD19 Function in Central and Peripheral B-Cell Development. Immunologic Research. 31(2). 119–132. 68 indexed citations
17.
Otero, Dennis C. & Robert C. Rickert. (2003). CD19 Function in Early and Late B Cell Development. II. CD19 Facilitates the Pro-B/Pre-B Transition. The Journal of Immunology. 171(11). 5921–5930. 62 indexed citations
18.
Li, Zhiwei, Sidne A. Omori, Tord Labuda, Michael Karin, & Robert C. Rickert. (2003). IKKβ Is Required for Peripheral B Cell Survival and Proliferation. The Journal of Immunology. 170(9). 4630–4637. 150 indexed citations
19.
Goda, Nobuhito, et al.. (2002). Hypoxia-Inducible Factor 1α Is Essential for Cell Cycle Arrest during Hypoxia. Molecular and Cellular Biology. 23(1). 359–369. 427 indexed citations
20.
Alborán, Ignacio Moreno de, Rónán C. O’Hagan, Fátima Gärtner, et al.. (2001). Analysis of C-MYC Function in Normal Cells via Conditional Gene-Targeted Mutation. Immunity. 14(1). 45–55. 319 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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