Guan K. Tay

2.2k citations
81 papers · 1.5k indexed · h-index 20
  • Immunology top 5%
    • T-cell and B-cell Immunology 21
    • Immune Cell Function and Interaction 15
    • Immunotherapy and Immune Responses 6
  • Genetics top 5%
    • Genetic Associations and Epidemiology 17
    • Diabetes and associated disorders 6
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation 8
    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 7

Guan K. Tay

80 papers receiving 1.5k citations

Peers

Guan K. Tay
Comparison fields: 5 of 129
  • Immunology 512
  • Genetics 418
  • Transplantation 36
  • Hematology 114
  • Infectious Diseases 174
Replace José Manuel Rodrı́guez-Pérez with:
José Manuel Rodrı́guez-Pérez Mexico
Vasantha L. Kolachala United States
Gerhard Steinmann Germany
Andrew Wang United States
Eliana Mariño Australia
Sherry D. Fleming United States
Jennie M. Pater Netherlands
Mona Mashayekhi United States
Francisco Leyva‐Cobián Spain
Rosanna Vescovini Italy
Guan K. Tay relative to José Manuel Rodrı́guez-Pérez Mexico José Manuel Rodrı́guez-Pérez's profile →
Citations per field
00.5×3.3×
José Manuel Rodrı́guez-Pérez · 1×
Citations per year

Countries citing papers authored by Guan K. Tay

Since Specialization
Citations

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

Fields of papers citing papers by Guan K. Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan K. Tay. 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 Guan K. Tay. The network helps show where Guan K. Tay may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Guan K. Tay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guan K. Tay Line = papers co-authored together Guan K. Tay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 202351
3 20237
4 20223
5 20225
6 20223
7 202119
8 20213
9 202124
10 20216
11 202113
12 20207
13 20198
14 201624
15 201215
16 20112
17 200923
18 200217
19 20005
20 199878

About Guan K. Tay

Guan K. Tay is a scholar working on Immunology, Genetics and Hematology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Genetic Associations and Epidemiology (17 papers), Immune Cell Function and Interaction (15 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), COVID-19 Clinical Research Studies (7 papers), Diabetes and associated disorders (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (512 citations), Genetics (418 citations) and Transplantation (36 citations). Guan K. Tay has collaborated with scholars based in Australia, United Arab Emirates and United Kingdom. Frequent co-authors include Habiba Alsafar, Roger L. Dawkins, Silvana Gaudieri, Chanvit Leelayuwat, Jennie Hui, Sonia Cattley, Jerzy K. Kulski, Patricia Martínez, David A. Liberles and P.A. O’Brien.

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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