High-Seng Chai

1.1k total citations
7 papers, 404 citations indexed

About

High-Seng Chai is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, High-Seng Chai has authored 7 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in High-Seng Chai's work include Acute Myocardial Infarction Research (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). High-Seng Chai is often cited by papers focused on Acute Myocardial Infarction Research (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). High-Seng Chai collaborates with scholars based in United States and Belarus. High-Seng Chai's co-authors include Bekele Afessa, Vlad C. Vasile, Allan S. Jaffe, José A. Pérez, Jorge R. Alegría, Luciano Babuin, Kent R. Bailey, Yan W. Asmann, Jean‐Pierre Kocher and LaPrincess C. Brewer and has published in prestigious journals such as Nucleic Acids Research, The American Journal of Medicine and Critical Care Medicine.

In The Last Decade

High-Seng Chai

7 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
High-Seng Chai United States	7	241	99	90	88	85	7	404
Małgorzata Pyda Poland	13	271 1.1×	73 0.7×	57 0.6×	159 1.8×	96 1.1×	66	456
José Luis Zamorano Spain	13	290 1.2×	59 0.6×	86 1.0×	75 0.9×	47 0.6×	41	458
Thomas Zegkos Greece	12	291 1.2×	53 0.5×	59 0.7×	88 1.0×	49 0.6×	53	418
Roberto Galea Switzerland	13	525 2.2×	72 0.7×	95 1.1×	95 1.1×	146 1.7×	36	642
Kambiz Ghafourian United States	10	149 0.6×	65 0.7×	26 0.3×	112 1.3×	56 0.7×	40	360
P Gregor Czechia	10	228 0.9×	46 0.5×	64 0.7×	61 0.7×	55 0.6×	62	323
Marco Gobbo Italy	9	383 1.6×	72 0.7×	29 0.3×	74 0.8×	46 0.5×	14	458
Albert Topf Austria	9	144 0.6×	72 0.7×	54 0.6×	53 0.6×	34 0.4×	41	329
Nondita Sarkar Sweden	11	177 0.7×	102 1.0×	19 0.2×	106 1.2×	101 1.2×	17	355
Paolo Righini Italy	11	155 0.6×	55 0.6×	71 0.8×	123 1.4×	14 0.2×	57	438

Countries citing papers authored by High-Seng Chai

Since Specialization

Citations

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

Fields of papers citing papers by High-Seng Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by High-Seng Chai. 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 High-Seng Chai. The network helps show where High-Seng Chai may publish in the future.

Co-authorship network of co-authors of High-Seng Chai

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

All Works

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7 of 7 papers shown

1.

Vasile, Vlad C., et al.. (2013). Elevated Cardiac Troponin T Levels in Critically Ill Patients with Sepsis. The American Journal of Medicine. 126(12). 1114–1121. 63 indexed citations

2.

Asmann, Yan W., Asif Hossain, Brian M. Necela, et al.. (2011). A novel bioinformatics pipeline for identification and characterization of fusion transcripts in breast cancer and normal cell lines. Nucleic Acids Research. 39(15). e100–e100. 80 indexed citations

3.

Vasile, Vlad C., High-Seng Chai, Sherezade Khambatta, Bekele Afessa, & Allan S. Jaffe. (2010). Significance of Elevated Cardiac Troponin T Levels in Critically Ill Patients with Acute Respiratory Disease. The American Journal of Medicine. 123(11). 1049–1058. 42 indexed citations

4.

Chai, High-Seng, Hugues Sicotte, Kent R. Bailey, et al.. (2009). GLOSSI: a method to assess the association of genetic loci-sets with complex diseases. BMC Bioinformatics. 10(1). 102–102. 27 indexed citations

5.

Vasile, Vlad C., Luciano Babuin, José A. Pérez, et al.. (2008). Long-term prognostic significance of elevated cardiac troponin levels in critically ill patients with acute gastrointestinal bleeding*. Critical Care Medicine. 37(1). 140–147. 41 indexed citations

6.

Babuin, Luciano, Vlad C. Vasile, José A. Pérez, et al.. (2008). Elevated cardiac troponin is an independent risk factor for short- and long-term mortality in medical intensive care unit patients. Critical Care Medicine. 36(3). 759–765. 108 indexed citations

7.

Brewer, LaPrincess C., High-Seng Chai, Kent R. Bailey, & Iftikhar J. Kullo. (2006). Measures of arterial stiffness and wave reflection are associated with walking distance in patients with peripheral arterial disease. Atherosclerosis. 191(2). 384–390. 43 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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