Shen Yun Foo

585 total citations
8 papers, 480 citations indexed

About

Shen Yun Foo is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Shen Yun Foo has authored 8 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Immunology and Allergy and 2 papers in Immunology. Recurrent topics in Shen Yun Foo's work include RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Shen Yun Foo is often cited by papers focused on RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Shen Yun Foo collaborates with scholars based in Australia, Singapore and Israel. Shen Yun Foo's co-authors include Simon Phipps, Paul S. Foster, Klaus I. Matthaei, Gerard E. Kaiko, Sophia Davidson, Chuan En Lam, Hovav Nechushtan, Ashley Mansell, Jessica Barry and Joërg Mattes and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Shen Yun Foo

8 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shen Yun Foo Australia	8	226	139	99	95	90	8	480
Sean Roberts United States	13	217 1.0×	97 0.7×	44 0.4×	96 1.0×	120 1.3×	21	485
Joerg Willers Switzerland	6	348 1.5×	107 0.8×	86 0.9×	115 1.2×	47 0.5×	7	537
Andrea C. Klucken Germany	5	138 0.6×	118 0.8×	82 0.8×	58 0.6×	86 1.0×	6	402
Ebony Benjamin United States	7	273 1.2×	187 1.3×	56 0.6×	45 0.5×	126 1.4×	7	490
Jennifer Bassett Canada	10	263 1.2×	99 0.7×	32 0.3×	99 1.0×	58 0.6×	10	512
Hsiao Hui Ong Singapore	11	183 0.8×	101 0.7×	88 0.9×	212 2.2×	115 1.3×	27	581
Rakhim M. Khaitov Russia	12	124 0.5×	58 0.4×	43 0.4×	62 0.7×	64 0.7×	32	330
Kunio Sano Japan	12	421 1.9×	221 1.6×	132 1.3×	102 1.1×	36 0.4×	22	632
Katja Heinemann Germany	2	374 1.7×	90 0.6×	66 0.7×	96 1.0×	42 0.5×	4	478
Sudarshan Seshadri United States	11	237 1.0×	163 1.2×	167 1.7×	187 2.0×	46 0.5×	18	622

Countries citing papers authored by Shen Yun Foo

Since Specialization

Citations

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

Fields of papers citing papers by Shen Yun Foo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shen Yun Foo. 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 Shen Yun Foo. The network helps show where Shen Yun Foo may publish in the future.

Co-authorship network of co-authors of Shen Yun Foo

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Park, Min‐Chul, Shen Yun Foo, Yoon Kyung Jeon, et al.. (2017). Serine 207 phosphorylated lysyl-tRNA synthetase predicts disease-free survival of non-small-cell lung carcinoma. Oncotarget. 8(39). 65186–65198. 9 indexed citations

2.

Foo, Shen Yun, Vivian Zhang, Jason P. Lynch, et al.. (2015). Regulatory T Cells Prevent Inducible BALT Formation by Dampening Neutrophilic Inflammation. The Journal of Immunology. 194(9). 4567–4576. 35 indexed citations

3.

Nechushtan, Hovav, et al.. (2013). Non-canonical roles of lysyl-tRNA synthetase in health and disease. Trends in Molecular Medicine. 19(12). 726–731. 36 indexed citations

4.

Davidson, Sophia, Gerard E. Kaiko, Zhixuan Loh, et al.. (2011). Plasmacytoid Dendritic Cells Promote Host Defense against Acute Pneumovirus Infection via the TLR7–MyD88-Dependent Signaling Pathway. The Journal of Immunology. 186(10). 5938–5948. 74 indexed citations

5.

Foo, Shen Yun & Simon Phipps. (2010). Regulation of inducible BALT formation and contribution to immunity and pathology. Mucosal Immunology. 3(6). 537–544. 97 indexed citations

6.

Phipps, Simon, Chuan En Lam, Gerard E. Kaiko, et al.. (2009). Toll/IL-1 Signaling Is Critical for House Dust Mite–specific Th1 and Th2 Responses. American Journal of Respiratory and Critical Care Medicine. 179(10). 883–893. 136 indexed citations

7.

Shi, Minlong, Shen Yun Foo, Suet‐Mien Tan, et al.. (2007). A Structural Hypothesis for the Transition between Bent and Extended Conformations of the Leukocyte β2 Integrins. Journal of Biological Chemistry. 282(41). 30198–30206. 41 indexed citations

8.

Guan, Ming, et al.. (2004). Recombinant Protein-Based Enzyme-Linked Immunosorbent Assay and Immunochromatographic Tests for Detection of Immunoglobulin G Antibodies to Severe Acute Respiratory Syndrome (SARS) Coronavirus in SARS Patients. Clinical and Vaccine Immunology. 11(2). 287–291. 52 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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