Tan Boon Toh

3.0k total citations · 1 hit paper
40 papers, 1.9k citations indexed

About

Tan Boon Toh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tan Boon Toh has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Tan Boon Toh's work include Cancer Cells and Metastasis (7 papers), Protein Degradation and Inhibitors (6 papers) and Glioma Diagnosis and Treatment (5 papers). Tan Boon Toh is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Protein Degradation and Inhibitors (6 papers) and Glioma Diagnosis and Treatment (5 papers). Tan Boon Toh collaborates with scholars based in Singapore, United States and China. Tan Boon Toh's co-authors include Edward Kai‐Hua Chow, Jhin Jieh Lim, Lissa Hooi, Lissa Nurrul Abdullah, Dean Ho, Mengjie Gu, Weixin Hou, Masturah Bte Mohd Abdul Rashid, Eliza Li Shan Fong and Xin Wang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Tan Boon Toh

40 papers receiving 1.9k citations

Hit Papers

Mitochondria-Targeting Type-I Photodrug: Harnessing Caspa... 2024 2026 2025 2024 20 40 60

Peers

Tan Boon Toh
Comparison fields: 5 of 113
  • Molecular Biology 917
  • Oncology 536
  • Biomedical Engineering 508
  • Materials Chemistry 347
  • Cancer Research 327
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Jamey P. Weichert United States
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Shanshan Wang China View profile →
Citations per field, relative to Tan Boon Toh
Tan Boon Toh · 1×
Citations per year, relative to Tan Boon Toh
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Countries citing papers authored by Tan Boon Toh

Since Specialization
Citations

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

Fields of papers citing papers by Tan Boon Toh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Boon Toh

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
Mitochondria-Targeting Type-I Photodrug: Harnessing Caspase-3 Activity for Pyroptotic Oncotherapy breakdown →
67
2 10
3 19
4 62
5 4
6 95
7 27
8 97
9 84
10 55
11 4
12 36
13 310
14 79
15 49
16 16
17 51
18 23
19 12
20 3

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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2026