Ying Siow Tan

517 total citations
10 papers, 293 citations indexed

About

Ying Siow Tan is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Ying Siow Tan has authored 10 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Ying Siow Tan's work include Cancer Risks and Factors (3 papers), Complement system in diseases (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Ying Siow Tan is often cited by papers focused on Cancer Risks and Factors (3 papers), Complement system in diseases (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Ying Siow Tan collaborates with scholars based in United States, Denmark and Japan. Ying Siow Tan's co-authors include Vasile I. Pavlov, Gregory L. Stahl, Mikkel‐Ole Skjoedt, Chenhui Zou, Laura R. La Bonte, Peter Garred, Anne Rosbjerg, Richard C. Schwartz, Melissa A. Troester and Yong Zhao and has published in prestigious journals such as Circulation, The Journal of Immunology and Kidney International.

In The Last Decade

Ying Siow Tan

10 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Siow Tan United States	8	169	69	61	46	45	10	293
Michaela Calvillo Italy	12	139 0.8×	132 1.9×	50 0.8×	88 1.9×	14 0.3×	25	360
Genji Yamaoka Japan	14	65 0.4×	149 2.2×	111 1.8×	65 1.4×	20 0.4×	22	345
Ali‐Reza Biglarnia Sweden	7	101 0.6×	22 0.3×	39 0.6×	22 0.5×	12 0.3×	20	376
María Kourilovitch Ecuador	7	89 0.5×	60 0.9×	28 0.5×	24 0.5×	9 0.2×	8	267
Melody Campbell United States	6	97 0.6×	48 0.7×	60 1.0×	42 0.9×	107 2.4×	7	316
Masayuki Endo Japan	9	47 0.3×	47 0.7×	109 1.8×	46 1.0×	10 0.2×	20	323
Toshiyuki Takeishi Japan	11	58 0.3×	17 0.2×	80 1.3×	23 0.5×	12 0.3×	26	368
Qiaochuan Li China	10	49 0.3×	129 1.9×	110 1.8×	48 1.0×	80 1.8×	32	296
Mushfequr R. Haq United Kingdom	9	166 1.0×	60 0.9×	130 2.1×	8 0.2×	11 0.2×	10	413

Countries citing papers authored by Ying Siow Tan

Since Specialization

Citations

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

Fields of papers citing papers by Ying Siow Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Siow Tan. 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 Ying Siow Tan. The network helps show where Ying Siow Tan may publish in the future.

Co-authorship network of co-authors of Ying Siow Tan

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

All Works

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10 of 10 papers shown

Ozaki, Masayuki, Ying Siow Tan, Vasile I. Pavlov, et al.. (2016). Human mannose-binding lectin inhibitor prevents Shiga toxin–induced renal injury. Kidney International. 90(4). 774–782. 21 indexed citations

Aupperlee, Mark D., Yong Zhao, Ying Siow Tan, et al.. (2016). Pubertal and adult windows of susceptibility to a high animal fat diet in Trp53-null mammary tumorigenesis. Oncotarget. 7(50). 83409–83423. 25 indexed citations

Aupperlee, Mark D., Yong Zhao, Ying Siow Tan, et al.. (2015). Puberty-specific promotion of mammary tumorigenesis by a high animal fat diet. Breast Cancer Research. 17(1). 138–138. 22 indexed citations

Pavlov, Vasile I., Ying Siow Tan, Erin E. McClure, et al.. (2014). Human Mannose-Binding Lectin Inhibitor Prevents Myocardial Injury and Arterial Thrombogenesis in a Novel Animal Model. American Journal Of Pathology. 185(2). 347–355. 27 indexed citations

Zhao, Yong, Ying Siow Tan, Mark D. Aupperlee, et al.. (2013). Pubertal high fat diet: effects on mammary cancer development. Breast Cancer Research. 15(5). R100–R100. 38 indexed citations

Pavlov, Vasile I., Mikkel‐Ole Skjoedt, Ying Siow Tan, et al.. (2012). Endogenous and Natural Complement Inhibitor Attenuates Myocardial Injury and Arterial Thrombogenesis. Circulation. 126(18). 2227–2235. 65 indexed citations

Skjoedt, Mikkel‐Ole, Vasile I. Pavlov, Ying Siow Tan, et al.. (2012). Endogenous and natural complement inhibitor attenuates myocardial injury and arterial thrombogenesis. Immunobiology. 217(11). 1166–1167. 2 indexed citations

Bonte, Laura R. La, Vasile I. Pavlov, Ying Siow Tan, et al.. (2011). Mannose-Binding Lectin-Associated Serine Protease-1 Is a Significant Contributor to Coagulation in a Murine Model of Occlusive Thrombosis. The Journal of Immunology. 188(2). 885–891. 76 indexed citations

N′jai, Alhaji U., Darrell R. Boverhof, Edward Dere, et al.. (2008). Comparative Temporal Toxicogenomic Analysis of TCDD- and TCDF-Mediated Hepatic Effects in Immature Female C57BL/6 Mice. Toxicological Sciences. 103(2). 285–297. 16 indexed citations

10.

Tan, Ying Siow, et al.. (2003). Fever attribution in the SARS outbreak.. PubMed. 44(11). 590–4. 1 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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