Vidyanath Chaudhary

754 total citations
17 papers, 516 citations indexed

About

Vidyanath Chaudhary is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Vidyanath Chaudhary has authored 17 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Oncology. Recurrent topics in Vidyanath Chaudhary's work include interferon and immune responses (4 papers), Viral Infections and Vectors (4 papers) and Immune Cell Function and Interaction (3 papers). Vidyanath Chaudhary is often cited by papers focused on interferon and immune responses (4 papers), Viral Infections and Vectors (4 papers) and Immune Cell Function and Interaction (3 papers). Vidyanath Chaudhary collaborates with scholars based in Hong Kong, United States and China. Vidyanath Chaudhary's co-authors include Dong‐Yan Jin, Chi‐Ping Chan, Kit‐San Yuen, Kin‐Hang Kok, Pei‐Hui Wang, Yun Cheng, Weiwei Gao, Sin‐Yee Fung, Mifang Liang and Ching-Ping Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Vidyanath Chaudhary

17 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vidyanath Chaudhary Hong Kong 11 214 192 166 124 107 17 516
Erin M. McCartney Australia 12 285 1.3× 149 0.8× 216 1.3× 96 0.8× 237 2.2× 22 752
Remzi Onur Eren Switzerland 10 366 1.7× 110 0.6× 414 2.5× 240 1.9× 185 1.7× 13 862
Giulia Marsili Italy 17 406 1.9× 169 0.9× 172 1.0× 92 0.7× 113 1.1× 38 730
Sumudu Narayana Australia 7 249 1.2× 137 0.7× 146 0.9× 93 0.8× 171 1.6× 19 553
Andrea Matucci Italy 12 189 0.9× 135 0.7× 79 0.5× 39 0.3× 88 0.8× 43 504
Oliver Bauhofer Germany 11 193 0.9× 177 0.9× 126 0.8× 34 0.3× 122 1.1× 11 734
Mai Shiokawa Japan 11 58 0.3× 132 0.7× 173 1.0× 65 0.5× 180 1.7× 18 558
Rebecca J. Nusbaum United States 10 343 1.6× 215 1.1× 238 1.4× 55 0.4× 210 2.0× 13 750
Heike Kotarsky Sweden 17 130 0.6× 245 1.3× 319 1.9× 304 2.5× 98 0.9× 24 836

Countries citing papers authored by Vidyanath Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Vidyanath Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidyanath Chaudhary

This figure shows the co-authorship network connecting the top 25 collaborators of Vidyanath Chaudhary. A scholar is included among the top collaborators of Vidyanath Chaudhary 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 Vidyanath Chaudhary. Vidyanath Chaudhary 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.
Laurent, Paôline, Vidyanath Chaudhary, Da-Qiang Li, et al.. (2025). The immunoproteasome regulates ILC2 responses by modulating mitochondrial capacity. Proceedings of the National Academy of Sciences. 122(47). e2518190122–e2518190122. 1 indexed citations
2.
Bachu, Mahesh, et al.. (2025). IL-10 targets IRF transcription factors to suppress IFN and inflammatory response genes by epigenetic mechanisms. Nature Immunology. 26(5). 748–759. 13 indexed citations
3.
Kioon, Marie Dominique Ah, Paôline Laurent, Vidyanath Chaudhary, et al.. (2024). Modulation of plasmacytoid dendritic cells response in inflammation and autoimmunity. Immunological Reviews. 323(1). 241–256. 8 indexed citations
4.
Bale, Michael J., Andrew W. Daman, Vidyanath Chaudhary, et al.. (2024). Mechanisms of epigenomic and functional convergence between glucocorticoid- and IL4-driven macrophage programming. Nature Communications. 15(1). 9000–9000. 4 indexed citations
5.
Chaudhary, Vidyanath, Marie Dominique Ah Kioon, Yong Du, et al.. (2024). Mechanosensing regulates pDC activation in the skin through NRF2 activation. The Journal of Experimental Medicine. 222(3). 6 indexed citations
6.
Chaudhary, Vidyanath, Marie Dominique Ah Kioon, Sung‐Min Hwang, et al.. (2022). Chronic activation of pDCs in autoimmunity is linked to dysregulated ER stress and metabolic responses. The Journal of Experimental Medicine. 219(11). 42 indexed citations
7.
Du, Yong, Marie Dominique Ah Kioon, Paôline Laurent, et al.. (2022). Chemokines form nanoparticles with DNA and can superinduce TLR-driven immune inflammation. The Journal of Experimental Medicine. 219(7). 27 indexed citations
8.
Jangra, Sonia, et al.. (2021). Suppression of JAK-STAT Signaling by Epstein-Barr Virus Tegument Protein BGLF2 through Recruitment of SHP1 Phosphatase and Promotion of STAT2 Degradation. Journal of Virology. 95(20). e0102721–e0102721. 24 indexed citations
9.
--, Sonia, Kit‐San Yuen, Vidyanath Chaudhary, Michael G. Botelho, & Dong‐Yan Jin. (2019). Dysregulation of innate interferon signaling by Epstein-Barr virus tegument protein BGLF2. The Journal of Immunology. 202(1_Supplement). 127.4–127.4. 1 indexed citations
10.
Wang, Pei‐Hui, Zi‐Wei Ye, Kam‐Leung Siu, et al.. (2018). Inhibition of AIM 2 inflammasome activation by a novel transcript isoform of IFI 16. EMBO Reports. 19(10). 70 indexed citations
11.
Wang, Pei‐Hui, Sin‐Yee Fung, Weiwei Gao, et al.. (2018). A novel transcript isoform of STING that sequesters cGAMP and dominantly inhibits innate nucleic acid sensing. Nucleic Acids Research. 46(8). 4054–4071. 61 indexed citations
12.
Chaudhary, Vidyanath, Kit‐San Yuen, Jasper Fuk‐Woo Chan, et al.. (2017). Selective Activation of Type II Interferon Signaling by Zika Virus NS5 Protein. Journal of Virology. 91(14). 87 indexed citations
13.
Rezelj, Veronica V., Ping Li, Vidyanath Chaudhary, et al.. (2017). Differential Antagonism of Human Innate Immune Responses by Tick-BornePhlebovirusNonstructural Proteins. mSphere. 2(3). 41 indexed citations
14.
Deng, Jianjun, Weiwei Gao, Vidyanath Chaudhary, et al.. (2017). Interplay between SIRT1 and hepatitis B virus X protein in the activation of viral transcription. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1860(4). 491–501. 48 indexed citations
15.
Chaudhary, Vidyanath, Shuo Zhang, Kit‐San Yuen, et al.. (2015). Suppression of type I and type III IFN signalling by NSs protein of severe fever with thrombocytopenia syndrome virus through inhibition of STAT1 phosphorylation and activation. Journal of General Virology. 96(11). 3204–3211. 56 indexed citations
16.
Gao, Weiwei, Chi‐Ping Chan, Yun Cheng, et al.. (2014). Requirement of CRTC1 coactivator for hepatitis B virus transcription. Nucleic Acids Research. 42(20). 12455–12468. 24 indexed citations
17.
Rahman, Md. Atiar, et al.. (2012). ANTI-INFLAMMATORY, ANALGESIC AND GC - MS ANALYSIS OF ESSENTIAL OIL OF ALPINIA CALCARATA RHIZOME. International Journal of Pharma and Bio Sciences. 3 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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