Owen Tan

861 citations
24 papers · 549 · h-index 13

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 3
    • Melanoma and MAPK Pathways 2
    • interferon and immune responses 7
    • Immunotherapy and Immune Responses 4

Owen Tan

23 papers receiving 544 citations

Peers

Owen Tan
Comparison fields: 5 of 91
  • Immunology 146
  • Cancer Research 97
  • Molecular Biology 282
  • Pathology and Forensic Medicine 68
  • Complementary and alternative medicine 31
Replace Mingwei Chen with:
Mingwei Chen China
Mohammad Zahid Kamran India
Łukasz Sędek Poland
Holger Bartsch Germany
Eun‐Taik Jeong South Korea
Marion Ganslmayer Germany
Michela Piezzo Italy
Dan Zang China
Alex Starr Israel
Emmanuel N. Kontomanolis Greece
Owen Tan relative to Mingwei Chen China Mingwei Chen's profile →
Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Owen Tan

Since Specialization
Citations

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

Fields of papers citing papers by Owen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 201760
3 201056
4 200356
5 201648
6 202035
7 201130
8 200929
9 201429
10 201324
11 201721
12 201316
13 201515
14 202111
15 200511
16 201910
17 20169
18 20238
19 20147
20 20243

About Owen Tan

Owen Tan is a scholar working on Molecular Biology, Immunology, Neurology, Epidemiology and Genetics, having authored 24 papers that have together received 549 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Immunotherapy and Immune Responses (4 papers), Neuroblastoma Research and Treatments (4 papers), Healthcare innovation and challenges (3 papers), Retinoids in leukemia and cellular processes (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Melanoma and MAPK Pathways (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Immunology (146 citations), Cancer Research (97 citations), Molecular Biology (282 citations), Pathology and Forensic Medicine (68 citations) and Complementary and alternative medicine (31 citations). Owen Tan has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Belamy B. Cheung, Glenn M. Marshall, Deborah Schofield, Rupendra Shrestha, Michelle Cunich, Michelle Haber, Murray D. Norris, Tao Liu, Selina K. Sutton and Jessica Koach. Their work appears in journals such as Cancer Letters, Oncotarget, Scientific Reports, Molecular Oncology and Oncology Reports.

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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