Barry Ripley

1.9k total citations
24 papers, 1.5k citations indexed

About

Barry Ripley is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Barry Ripley has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Barry Ripley's work include Cytokine Signaling Pathways and Interactions (10 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (4 papers). Barry Ripley is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (4 papers). Barry Ripley collaborates with scholars based in Japan, United Kingdom and Saudi Arabia. Barry Ripley's co-authors include Tadamitsu Kishimoto, Satoshi Serada, Tetsuji Naka, Minoru Fujimoto, Akihiro Kimura, Teppei Nishikawa, Shintaro Nomura, Yoshiyuki Ohsugi, Hiroto Yoshida and Nobuo Koike and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Barry Ripley

24 papers receiving 1.5k citations

Peers

Barry Ripley
Mengkun Zhang United States
Taylor B. Guo China
Julie Carman United States
Deepa Hammaker United States
David Fernández United States
Takeru Yoshimura Japan
Askar M. Akimzhanov United States
Nella Prevete Italy
Min Sun Shin United States
Mengkun Zhang United States
Barry Ripley
Citations per year, relative to Barry Ripley Barry Ripley (= 1×) peers Mengkun Zhang

Countries citing papers authored by Barry Ripley

Since Specialization
Citations

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

Fields of papers citing papers by Barry Ripley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barry Ripley

This figure shows the co-authorship network connecting the top 25 collaborators of Barry Ripley. A scholar is included among the top collaborators of Barry Ripley 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 Barry Ripley. Barry Ripley 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.
Dubey, Praveen Kumar, Kazuya Masuda, Kishan Kumar Nyati, et al.. (2017). Arid5a-deficient mice are highly resistant to bleomycin-induced lung injury. International Immunology. 29(2). 79–85. 14 indexed citations
2.
Han, Yongmei, Barry Ripley, Satoshi Serada, Tetsuji Naka, & Minoru Fujimoto. (2016). Interleukin-6 Deficiency Does Not Affect Motor Neuron Disease Caused by Superoxide Dismutase 1 Mutation. PLoS ONE. 11(4). e0153399–e0153399. 20 indexed citations
3.
Zaman, Mohammad Mahabub-Uz, Kazuya Masuda, Kishan Kumar Nyati, et al.. (2016). Arid5a exacerbates IFN-γ–mediated septic shock by stabilizing T-bet mRNA. Proceedings of the National Academy of Sciences. 113(41). 11543–11548. 48 indexed citations
4.
Masuda, Kazuya, Barry Ripley, Kishan Kumar Nyati, et al.. (2016). Arid5a regulates naive CD4+ T cell fate through selective stabilization of Stat3 mRNA. The Journal of Experimental Medicine. 213(4). 605–619. 70 indexed citations
5.
Chinen, Ichino, Taisuke Nakahama, Akihiro Kimura, et al.. (2015). The aryl hydrocarbon receptor/microRNA-212/132 axis in T cells regulates IL-10 production to maintain intestinal homeostasis. International Immunology. 27(8). 405–415. 73 indexed citations
6.
Masuda, Kazuya, Barry Ripley, Riko Nishimura, et al.. (2013). Arid5a controls IL-6 mRNA stability, which contributes to elevation of IL-6 level in vivo. Proceedings of the National Academy of Sciences. 110(23). 9409–9414. 173 indexed citations
7.
Iwahori, Kota, Satoshi Serada, Minoru Fujimoto, et al.. (2012). SOCS‐1 gene delivery cooperates with cisplatin plus pemetrexed to exhibit preclinical antitumor activity against malignant pleural mesothelioma. International Journal of Cancer. 132(2). 459–471. 24 indexed citations
8.
9.
Souma, Yoshihito, Toshirou Nishida, Satoshi Serada, et al.. (2011). Antiproliferative effect of SOCS‐1 through the suppression of STAT3 and p38 MAPK activation in gastric cancer cells. International Journal of Cancer. 131(6). 1287–1296. 55 indexed citations
10.
Iwahori, Kota, Satoshi Serada, Minoru Fujimoto, et al.. (2010). Overexpression of SOCS3 exhibits preclinical antitumor activity against malignant pleural mesothelioma. International Journal of Cancer. 129(4). 993–1005. 49 indexed citations
11.
Ripley, Barry, Minoru Fujimoto, Satoshi Serada, et al.. (2010). Green tea polyphenol epigallocatechin gallate inhibits cell signaling by inducing SOCS1 gene expression. International Immunology. 22(5). 359–366. 13 indexed citations
12.
Fujimoto, Minoru, Mayumi Nakano, Fumitaka Terabe, et al.. (2010). The Influence of Excessive IL-6 Production In Vivo on the Development and Function of Foxp3+ Regulatory T Cells. The Journal of Immunology. 186(1). 32–40. 134 indexed citations
13.
Kim, Ayako, Takayuki Enomoto, Satoshi Serada, et al.. (2009). Enhanced expression of Annexin A4 in clear cell carcinoma of the ovary and its association with chemoresistance to carboplatin. International Journal of Cancer. 125(10). 2316–2322. 55 indexed citations
14.
Serada, Satoshi, et al.. (2009). 8007 Enhanced expression of Annexin A4 in clear cell carcinoma of the ovary and its association with chemoresistance to carboplatin. European Journal of Cancer Supplements. 7(2). 452–452. 2 indexed citations
15.
Fujimoto, Minoru, Satoshi Serada, Masahiko Mihara, et al.. (2008). Interleukin‐6 blockade suppresses autoimmune arthritis in mice by the inhibition of inflammatory Th17 responses. Arthritis & Rheumatism. 58(12). 3710–3719. 189 indexed citations
16.
Serada, Satoshi, Minoru Fujimoto, Masahiko Mihara, et al.. (2008). IL-6 blockade inhibits the induction of myelin antigen-specific Th17 cells and Th1 cells in experimental autoimmune encephalomyelitis. Proceedings of the National Academy of Sciences. 105(26). 9041–9046. 289 indexed citations
17.
Ndisang, Daniel, David J. Faulkes, Duncan M. Gascoyne, et al.. (2005). Differential regulation of different human papilloma virus variants by the POU family transcription factor Brn-3a. Oncogene. 25(1). 51–60. 12 indexed citations
18.
19.
Ripley, Barry, et al.. (2005). Raised levels of interleukin 6 in systemic lupus erythematosus correlate with anaemia. Annals of the Rheumatic Diseases. 64(6). 849–853. 99 indexed citations
20.
Ripley, Barry, David Isenberg, & D.S. Latchman. (2001). Elevated Levels of the 90 kDa Heat Shock Protein (hsp90) in SLE Correlate with Levels of IL-6 and Autoantibodies to hsp90. Journal of Autoimmunity. 17(4). 341–346. 44 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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