Sinu P. John

3.8k total citations · 1 hit paper
17 papers, 2.3k citations indexed

About

Sinu P. John is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Sinu P. John has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Sinu P. John's work include HIV Research and Treatment (6 papers), interferon and immune responses (5 papers) and HIV/AIDS drug development and treatment (5 papers). Sinu P. John is often cited by papers focused on HIV Research and Treatment (6 papers), interferon and immune responses (5 papers) and HIV/AIDS drug development and treatment (5 papers). Sinu P. John collaborates with scholars based in United States, United Kingdom and France. Sinu P. John's co-authors include Abraham L. Brass, Stephen J. Elledge, Eric M. Feeley, Erol Fikrig, I‐Chueh Huang, Manoj N. Krishnan, David J. Adams, Yair Benita, Michael Farzan and Ramnik J. Xavier and has published in prestigious journals such as Cell, The Journal of Immunology and Gastroenterology.

In The Last Decade

Sinu P. John

17 papers receiving 2.3k citations

Hit Papers

The IFITM Proteins Mediate Cellular Resistance to Influen... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sinu P. John United States 13 1.2k 815 784 749 377 17 2.3k
Eric M. Feeley United States 10 1.3k 1.1× 831 1.0× 617 0.8× 839 1.1× 294 0.8× 10 2.3k
Manoj N. Krishnan Singapore 17 936 0.8× 833 1.0× 829 1.1× 576 0.8× 232 0.6× 27 2.6k
Volker Fensterl United States 19 1.3k 1.1× 833 1.0× 672 0.9× 469 0.6× 141 0.4× 21 2.3k
Lubbertus C. F. Mulder United States 21 907 0.8× 1.1k 1.3× 1.0k 1.3× 459 0.6× 768 2.0× 36 2.5k
Mary Y. Murphy United States 4 1.3k 1.1× 651 0.8× 599 0.8× 456 0.6× 261 0.7× 7 2.3k
Chen Liang Canada 20 959 0.8× 707 0.9× 563 0.7× 409 0.5× 556 1.5× 35 1.8k
Mark Throsby Netherlands 23 985 0.8× 871 1.1× 774 1.0× 1.5k 2.0× 210 0.6× 46 3.3k
Alessia Ruggieri Germany 27 546 0.5× 1.1k 1.4× 670 0.9× 519 0.7× 329 0.9× 46 2.5k
Choon Ping Tan United Kingdom 13 2.2k 1.8× 1.2k 1.5× 620 0.8× 893 1.2× 383 1.0× 14 3.1k
Krzysztof Brzózka Poland 12 2.2k 1.8× 1.3k 1.5× 807 1.0× 865 1.2× 413 1.1× 44 3.4k

Countries citing papers authored by Sinu P. John

Since Specialization
Citations

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

Fields of papers citing papers by Sinu P. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sinu P. John. 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 Sinu P. John. The network helps show where Sinu P. John may publish in the future.

Co-authorship network of co-authors of Sinu P. John

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

All Works

17 of 17 papers shown
1.
Bradfield, Clinton J., Orna Ernst, Sinu P. John, et al.. (2023). Biphasic JNK signaling reveals distinct MAP3K complexes licensing inflammasome formation and pyroptosis. The Journal of Immunology. 210(Supplement_1). 167.01–167.01. 1 indexed citations
2.
John, Sinu P., Anju Singh, Jing Sun, et al.. (2022). Small-molecule screening identifies Syk kinase inhibition and rutaecarpine as modulators of macrophage training and SARS-CoV-2 infection. Cell Reports. 41(1). 111441–111441. 9 indexed citations
3.
John, Sinu P., Jing Sun, Rebecca J. Carlson, et al.. (2018). IFIT1 Exerts Opposing Regulatory Effects on the Inflammatory and Interferon Gene Programs in LPS-Activated Human Macrophages. Cell Reports. 25(1). 95–106.e6. 65 indexed citations
4.
Simpson, Sydney, Guillaume Fiches, Sinu P. John, et al.. (2018). Inhibition of Tip60 Reduces Lytic and Latent Gene Expression of Kaposi’s Sarcoma-Associated Herpes Virus (KSHV) and Proliferation of KSHV-Infected Tumor Cells. Frontiers in Microbiology. 9. 788–788. 10 indexed citations
5.
Savidis, George, William M. McDougall, Paul Meraner, et al.. (2016). Identification of Zika Virus and Dengue Virus Dependency Factors using Functional Genomics. Cell Reports. 16(1). 232–246. 282 indexed citations
6.
Li, Ning, Jing Sun, Zachary Benet, et al.. (2015). Development of a cell system for siRNA screening of pathogen responses in human and mouse macrophages. Scientific Reports. 5(1). 9559–9559. 20 indexed citations
7.
Zhu, Jian, Teresa Davoli, Christopher R. Chin, et al.. (2014). Comprehensive Identification of Host Modulators of HIV-1 Replication using Multiple Orthologous RNAi Reagents. Cell Reports. 9(2). 752–766. 44 indexed citations
8.
John, Sinu P., Christopher R. Chin, Jill M. Perreira, et al.. (2013). The CD225 Domain of IFITM3 Is Required for both IFITM Protein Association and Inhibition of Influenza A Virus and Dengue Virus Replication. Journal of Virology. 87(14). 7837–7852. 146 indexed citations
9.
Lin, Tsai‐Yu, Christopher R. Chin, Simon Clare, et al.. (2013). Amphotericin B Increases Influenza A Virus Infection by Preventing IFITM3-Mediated Restriction. Cell Reports. 5(4). 895–908. 91 indexed citations
10.
Fusco, Dahlene N., Cynthia Brisac, Sinu P. John, et al.. (2013). A Genetic Screen Identifies Interferon-α Effector Genes Required to Suppress Hepatitis C Virus Replication. Gastroenterology. 144(7). 1438–1449.e9. 30 indexed citations
11.
Zhu, Jian, Gaurav D. Gaiha, Sinu P. John, et al.. (2012). Reactivation of Latent HIV-1 by Inhibition of BRD4. Cell Reports. 2(4). 807–816. 197 indexed citations
12.
Feeley, Eric M., Jennifer S. Sims, Sinu P. John, et al.. (2011). IFITM3 Inhibits Influenza A Virus Infection by Preventing Cytosolic Entry. PLoS Pathogens. 7(10). e1002337–e1002337. 321 indexed citations
13.
Brass, Abraham L., I‐Chueh Huang, Yair Benita, et al.. (2009). The IFITM Proteins Mediate Cellular Resistance to Influenza A H1N1 Virus, West Nile Virus, and Dengue Virus. Cell. 139(7). 1243–1254. 1029 indexed citations breakdown →
14.
John, Sinu P., et al.. (2007). Ebola Virus VP30 Is an RNA Binding Protein. Journal of Virology. 81(17). 8967–8976. 52 indexed citations
15.
Coté, Marie L., Michael Scher, Joelle N. Pelletier, et al.. (2006). Revealing Domain Structure through Linker-Scanning Analysis of the Murine Leukemia Virus (MuLV) RNase H and MuLV and Human Immunodeficiency Virus Type 1 Integrase Proteins. Journal of Virology. 80(19). 9497–9510. 21 indexed citations
16.
John, Sinu P., Thomas Fletcher, & Colleen B. Jonsson. (2005). Development and Application of a High-Throughput Screening Assay for HIV-1 Integrase Enzyme Activities. SLAS DISCOVERY. 10(6). 606–614. 17 indexed citations
17.
Wang, Tan, et al.. (2003). Rapid, high-throughput purification of HIV-1 integrase using microtiter plate technology. Protein Expression and Purification. 33(2). 232–237. 4 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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