Chris Mok

838 total citations
9 papers, 501 citations indexed

About

Chris Mok is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Chris Mok has authored 9 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Chris Mok's work include Influenza Virus Research Studies (4 papers), interferon and immune responses (3 papers) and COVID-19 Clinical Research Studies (3 papers). Chris Mok is often cited by papers focused on Influenza Virus Research Studies (4 papers), interferon and immune responses (3 papers) and COVID-19 Clinical Research Studies (3 papers). Chris Mok collaborates with scholars based in Hong Kong, China and France. Chris Mok's co-authors include Malik Peiris, Leo L. M. Poon, Sophie A. Valkenburg, Anna H.Y. Law, Chung Yan Cheung, Alex W. H. Chin, Niloufar Kavian, Owen TY Tsang, Asmaa Hachim and Ranawaka A. P. M. Perera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chris Mok

9 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Mok Hong Kong	9	223	180	173	159	60	9	501
Soner Yildiz Switzerland	10	181 0.8×	115 0.6×	179 1.0×	273 1.7×	31 0.5×	16	505
Ivette A. Nuñez United States	11	163 0.7×	199 1.1×	64 0.4×	90 0.6×	40 0.7×	16	410
Raveen Rathnasinghe United States	10	216 1.0×	107 0.6×	60 0.3×	99 0.6×	43 0.7×	18	392
Lasata Shrestha United States	8	602 2.7×	84 0.5×	81 0.5×	172 1.1×	54 0.9×	13	726
Aarthi Talla United States	12	191 0.9×	137 0.8×	245 1.4×	139 0.9×	64 1.1×	16	615
Umut Karakus Switzerland	9	187 0.8×	149 0.8×	124 0.7×	90 0.6×	33 0.6×	12	366
Yoriyuki Konno Japan	5	341 1.5×	59 0.3×	171 1.0×	79 0.5×	73 1.2×	9	462
Thomas Gerlach Germany	12	199 0.9×	185 1.0×	155 0.9×	157 1.0×	29 0.5×	20	511
Keiya Uriu Japan	6	395 1.8×	50 0.3×	135 0.8×	102 0.6×	76 1.3×	11	495
Gayle M. Boxx United States	8	211 0.9×	131 0.7×	233 1.3×	232 1.5×	13 0.2×	11	563

Countries citing papers authored by Chris Mok

Since Specialization

Citations

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

Fields of papers citing papers by Chris Mok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Mok

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

All Works

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9 of 9 papers shown

Wong, Martin C. S., Lin Zhang, Jessica Y. L. Ching, et al.. (2023). Effects of Gut Microbiome Modulation on Reducing Adverse Health Outcomes among Elderly and Diabetes Patients during the COVID-19 Pandemic: A Randomised, Double-Blind, Placebo-Controlled Trial (IMPACT Study). Nutrients. 15(8). 1982–1982. 16 indexed citations

Lau, Raphaela Iris, Qi Su, Jessica Ching, et al.. (2023). A synbiotic preparation (SIM01) for post-acute COVID-19 syndrome in Hong Kong (RECOVERY): a randomised, double-blind, placebo-controlled trial. The Lancet Infectious Diseases. 24(3). 256–265. 54 indexed citations

Hachim, Asmaa, Haogao Gu, Otared Kavian, et al.. (2022). SARS-CoV-2 accessory proteins reveal distinct serological signatures in children. Nature Communications. 13(1). 2951–2951. 17 indexed citations

Biquand, Élise, Raquel Muñoz-Moreno, Chris Mok, et al.. (2020). OTUB1 Is a Key Regulator of RIG-I-Dependent Immune Signaling and Is Targeted for Proteasomal Degradation by Influenza A NS1. Cell Reports. 30(5). 1570–1584.e6. 51 indexed citations

Hachim, Asmaa, Niloufar Kavian, Carolyn A. Cohen, et al.. (2020). ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection. Nature Immunology. 21(10). 1293–1301. 148 indexed citations

Fan, Ying, Chris Mok, Michael C. W. Chan, et al.. (2017). Cell Cycle-independent Role of Cyclin D3 in Host Restriction of Influenza Virus Infection. Journal of Biological Chemistry. 292(12). 5070–5088. 34 indexed citations

Chin, Alex W. H., et al.. (2014). Influenza A viruses with different amino acid residues at PB2-627 display distinct replication properties in vitro and in vivo: Revealing the sequence plasticity of PB2-627 position. Virology. 468-470. 545–555. 19 indexed citations

Valkenburg, Sophie A., Olive T. W. Li, Polly Mak, et al.. (2014). IL-15 adjuvanted multivalent vaccinia-based universal influenza vaccine requires CD4 ⁺ T cells for heterosubtypic protection. Proceedings of the National Academy of Sciences. 111(15). 5676–5681. 41 indexed citations

Cheung, Chung Yan, et al.. (2005). p38 Mitogen-Activated Protein Kinase-Dependent Hyperinduction of Tumor Necrosis Factor Alpha Expression in Response to Avian Influenza Virus H5N1. Journal of Virology. 79(16). 10147–10154. 121 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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