R. Anthony Barnitz

3.6k total citations · 2 hit papers
16 papers, 2.6k citations indexed

About

R. Anthony Barnitz is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, R. Anthony Barnitz has authored 16 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in R. Anthony Barnitz's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). R. Anthony Barnitz is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). R. Anthony Barnitz collaborates with scholars based in United States, Japan and France. R. Anthony Barnitz's co-authors include W. Nicholas Haining, Jernej Godec, Makoto Kurachi, E. John Wherry, Debattama R. Sen, Pamela M. Odorizzi, Nir Yosef, Kathleen B. Yates, Flavian D. Brown and Zeyu Chen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

R. Anthony Barnitz

16 papers receiving 2.6k citations

Hit Papers

Epigenetic stability of exhausted T cells limits durabili... 2016 2026 2019 2022 2016 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Anthony Barnitz United States 11 1.8k 1.3k 744 189 150 16 2.6k
Daniel T. Utzschneider Switzerland 19 2.3k 1.3× 1.6k 1.2× 605 0.8× 257 1.4× 306 2.0× 23 3.1k
Ian A. Parish Australia 24 3.0k 1.7× 1.0k 0.8× 1.0k 1.3× 194 1.0× 290 1.9× 37 3.9k
Arnold Han United States 18 1.6k 0.9× 703 0.5× 1.1k 1.4× 181 1.0× 251 1.7× 24 2.6k
Paul Rogers United States 19 2.2k 1.2× 571 0.4× 518 0.7× 202 1.1× 268 1.8× 29 2.8k
Juan Dubrot Spain 25 1.4k 0.8× 841 0.6× 525 0.7× 100 0.5× 156 1.0× 45 2.1k
Ryuichi Amakawa Japan 23 2.2k 1.2× 648 0.5× 638 0.9× 197 1.0× 265 1.8× 59 3.0k
Tao Zou United States 13 1.8k 1.0× 907 0.7× 436 0.6× 74 0.4× 294 2.0× 18 2.3k
Ascensión López-Dı́az de Cerio Spain 22 1.5k 0.8× 917 0.7× 740 1.0× 97 0.5× 162 1.1× 43 2.4k
Walter C. Olson United States 28 1.4k 0.8× 896 0.7× 824 1.1× 102 0.5× 197 1.3× 56 2.0k
Mark DeBenedette United States 22 1.8k 1.0× 680 0.5× 490 0.7× 182 1.0× 98 0.7× 37 2.3k

Countries citing papers authored by R. Anthony Barnitz

Since Specialization
Citations

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

Fields of papers citing papers by R. Anthony Barnitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Anthony Barnitz. 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 R. Anthony Barnitz. The network helps show where R. Anthony Barnitz may publish in the future.

Co-authorship network of co-authors of R. Anthony Barnitz

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

All Works

16 of 16 papers shown
1.
Tsao, Hsiao‐Wei, James J. Kaminski, Makoto Kurachi, et al.. (2022). Batf-mediated epigenetic control of effector CD8 + T cell differentiation. Science Immunology. 7(68). eabi4919–eabi4919. 33 indexed citations
2.
Pauken, Kristen E., Morgan A. Sammons, Pamela M. Odorizzi, et al.. (2016). Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade. Science. 354(6316). 1160–1165. 900 indexed citations breakdown →
3.
Beyaz, Semir, Ji Hyung Kim, Luca Pinello, et al.. (2016). The histone demethylase UTX regulates the lineage-specific epigenetic program of invariant natural killer T cells. Nature Immunology. 18(2). 184–195. 42 indexed citations
4.
Sen, Debattama R., James J. Kaminski, R. Anthony Barnitz, et al.. (2016). The epigenetic landscape of T cell exhaustion. Science. 354(6316). 1165–1169. 659 indexed citations breakdown →
5.
Huet, Heather, R. Anthony Barnitz, Kathleen E. McGinness, et al.. (2016). Targeting CD20+ Relapsed Refractory B Cell Lymphoma with ACTR087, Antibody-Coupled T-Cell Receptor (ACTR) Engineered Autologous T Cells, in Combination with Rituximab. Blood. 128(22). 3512–3512. 2 indexed citations
6.
Kim, Hye‐Jung, R. Anthony Barnitz, Taras Kreslavsky, et al.. (2015). Stable inhibitory activity of regulatory T cells requires the transcription factor Helios. Science. 350(6258). 334–339. 297 indexed citations
7.
Kurachi, Makoto, R. Anthony Barnitz, Nir Yosef, et al.. (2014). The transcription factor BATF operates as an essential differentiation checkpoint in early effector CD8+ T cells. Nature Immunology. 15(4). 373–383. 267 indexed citations
8.
Godec, Jernej, Glenn S. Cowley, R. Anthony Barnitz, et al.. (2014). Inducible RNAi in vivo reveals that the transcription factor BATF is required to initiate but not maintain CD8 + T-cell effector differentiation. Proceedings of the National Academy of Sciences. 112(2). 512–517. 25 indexed citations
9.
Barnitz, R. Anthony, Sabrina Imam, Kathleen B. Yates, & W. Nicholas Haining. (2013). Isolation of RNA and the Synthesis and Amplification of cDNA from Antigen-Specific T Cells for Genome-Wide Expression Analysis. Methods in molecular biology. 979. 161–173. 8 indexed citations
10.
Barnitz, R. Anthony, Makoto Kurachi, Madeleine E. Lemieux, et al.. (2013). The Transcription Factor BATF Controls CD8+ T Cell Effector Differentiation. Blood. 122(21). 189–189. 1 indexed citations
11.
Barnitz, R. Anthony, Benjamin Chaigne-Delalande, Diane L. Bolton, & Michael J. Lenardo. (2011). Exposed Hydrophobic Residues in Human Immunodeficiency Virus Type 1 Vpr Helix-1 Are Important for Cell Cycle Arrest and Cell Death. PLoS ONE. 6(9). e24924–e24924. 9 indexed citations
12.
Sakai, Keiko, R. Anthony Barnitz, Benjamin Chaigne-Delalande, Nicolas Bidère, & Michael J. Lenardo. (2011). Human Immunodeficiency Virus Type 1 Vif causes dysfunction of Cdk1 and CyclinB1: implications for cell cycle arrest. Virology Journal. 8(1). 219–219. 21 indexed citations
13.
Haining, W. Nicholas & R. Anthony Barnitz. (2011). Deconvolving heterogeneity in the CD8+ T-cell response to HIV. Current Opinion in HIV and AIDS. 7(1). 38–43. 2 indexed citations
14.
Barnitz, R. Anthony, et al.. (2010). Protein Kinase A Phosphorylation Activates Vpr-Induced Cell Cycle Arrest during Human Immunodeficiency Virus Type 1 Infection. Journal of Virology. 84(13). 6410–6424. 25 indexed citations
15.
Bolton, Diane L., R. Anthony Barnitz, Keiko Sakai, & Michael J. Lenardo. (2008). 14-3-3 theta binding to cell cycle regulatory factors is enhanced by HIV-1 Vpr. Biology Direct. 3(1). 17–17. 22 indexed citations
16.
Wan, Fengyi, Darrell E. Anderson, R. Anthony Barnitz, et al.. (2007). Ribosomal Protein S3: A KH Domain Subunit in NF-κB Complexes that Mediates Selective Gene Regulation. Cell. 131(5). 927–939. 283 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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