Michael Tee

31 papers receiving 1.2k citations

Hit Papers

Psychological impact of COVID-19 pandemic in the Philippines 2020 · 433 citations
4332013202620172021100200300400

Peers

Michael Tee
Comparison fields: 5 of 107
  • Immunology 521
  • Clinical Psychology 449
  • Rheumatology 243
  • Applied Psychology 69
  • Economics and Econometrics 268
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William Weiss United States
Itai M. Pessach Israel
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Citations per year

Countries citing papers authored by Michael Tee

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Tee, 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 Michael Tee Line = papers co-authored together Michael Tee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A randomised, double-blind, parallel-group study to demonstrate equivalence in efficacy and safety of CT-P13 compared with innovator infliximab when coadministered with methotrexate in patients with active rheumatoid arthritis: the PLANETRA study
Hit paper breakdown →
2013487
2
Psychological impact of COVID-19 pandemic in the Philippines
Hit paper breakdown →
2020433
3 201974
4 202052
5 202149
6 200735
7 201917
8 202013
9 202012
10 201811
11 20129
12 20167
13 20217
14 20196
15 20225
16 20183
17 20163
18 20232
19 20212
20 20202

About Michael Tee

Michael Tee is a scholar working on Rheumatology, Applied Psychology, Geriatrics and Gerontology, Agronomy and Crop Science and Immunology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Zoonotic diseases and public health (5 papers), COVID-19 and Mental Health (5 papers), Biosimilars and Bioanalytical Methods (4 papers), Animal Disease Management and Epidemiology (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Immunology (521 citations), Clinical Psychology (449 citations), Rheumatology (243 citations), Applied Psychology (69 citations) and Economics and Econometrics (268 citations). Michael Tee has collaborated with scholars based in Philippines, United States and Mexico. Frequent co-authors include Cherica Tee, Roger Ho, Patrick Wincy C. Reyes, Vipat Kuruchittham, Edgar Ramiterre, Sergio Gutiérrez‐Ureña, Dae‐Hyun Yoo, Nenad Prodanović, Omid Zamani and Ulf Müller‐Ladner. Their work appears in journals such as Annals of the Rheumatic Diseases, Value in Health, Frontiers in Psychiatry, Journal of Affective Disorders and Journal of Global Health.

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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