M. Tao

635 total citations
19 papers, 358 citations indexed

About

M. Tao is a scholar working on Pathology and Forensic Medicine, Genetics and Neurology. According to data from OpenAlex, M. Tao has authored 19 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 5 papers in Neurology. Recurrent topics in M. Tao's work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (6 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). M. Tao is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (6 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). M. Tao collaborates with scholars based in Singapore, China and Switzerland. M. Tao's co-authors include Soon Thye Lim, R. Quek, Lay Cheng Lim, David Chee Eng Ng, Siew Wan Hee, Yao Tan, Joanne Ngeow, Yu Xuan Koo, Jae Heun Chung and Tsung‐Lin Yang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

M. Tao

12 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Tao Singapore 4 210 134 130 92 89 19 358
Kazumasa Odagiri Japan 10 39 0.2× 54 0.4× 83 0.6× 92 1.0× 23 0.3× 14 323
Sabrina Aliberti Italy 11 178 0.8× 57 0.4× 84 0.6× 31 0.3× 21 0.2× 19 293
P Westling Sweden 7 115 0.5× 55 0.4× 107 0.8× 89 1.0× 40 0.4× 10 323
W. W. M. Lam China 8 234 1.1× 18 0.1× 54 0.4× 58 0.6× 58 0.7× 11 386
N. Jegadeesh United States 12 55 0.3× 31 0.2× 106 0.8× 128 1.4× 59 0.7× 20 350
Árpád Szomor Hungary 9 109 0.5× 84 0.6× 82 0.6× 43 0.5× 22 0.2× 31 267
Avyakta Kallam United States 9 102 0.5× 16 0.1× 104 0.8× 34 0.4× 27 0.3× 52 249
Sara Bartoncini Italy 11 65 0.3× 26 0.2× 47 0.4× 136 1.5× 24 0.3× 29 286
Dayanand Sharma India 10 40 0.2× 20 0.1× 116 0.9× 113 1.2× 50 0.6× 57 329
A. Timothy United Kingdom 7 141 0.7× 41 0.3× 69 0.5× 164 1.8× 8 0.1× 7 351

Countries citing papers authored by M. Tao

Since Specialization
Citations

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

Fields of papers citing papers by M. Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tao

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

All Works

19 of 19 papers shown
1.
Hao, Lei, Fuping Zhang, M. Tao, et al.. (2025). Overexpression of S100B promotes depressive-like behaviors in stroke-induced rats by modulating the PI3K/AKT/NF-κB pathway. Behavioural Brain Research. 488. 115597–115597.
2.
Lim, Nicole-Ann, Yang Sun, Jing Yuan Tan, et al.. (2025). Outcomes in relapsed/refractory diffuse large B-cell lymphoma in an Asian tertiary cancer center: real-world interventions as benchmark for novel therapy. SHILAP Revista de lepidopterología. 10. 100195–100195.
3.
Mao, Xiang, M. Tao, Feng Li, et al.. (2025). High-sensitivity cholesterol biosensor based on ChOx-decorated Au-Ag@Au/PB-PEDOT: Exploring serum-saliva relationship. Microchemical Journal. 219. 115959–115959.
4.
Tao, M., et al.. (2024). Early neurological deterioration with severe headache as the initial manifestation: A case report. SHILAP Revista de lepidopterología. 20(2). 1005–1008.
5.
6.
Sheng, Jennifer, Jing Tan, Yeh Hong Tan, et al.. (2023). 335MO Real-world outcomes of diffuse large B cell lymphoma treated with R-CHOP(-like) therapy in an Asian multi-ethnic population. Annals of Oncology. 34. S1601–S1601. 1 indexed citations
7.
Tan, Sze Huey, Vivianne Shih, Qingyuan Zhuang, et al.. (2020). 326P Management of diffuse large B cell lymphomas in the COVID-19 era. Annals of Oncology. 31. S1368–S1368. 1 indexed citations
8.
Chia, Burton Kuan Hui, Lay Poh Khoo, Chee Leong Cheng, et al.. (2018). Peripheral blood neutrophil-to-lymphocyte ratio in NK/T-cell lymphoma - prognostic significance and correlation with tumor transcriptomic profiles. Annals of Oncology. 29. ix88–ix89.
9.
Quek, R., Wen Yee Chay, Sze Huey Tan, et al.. (2017). Phase 2 clinical study of metronomic oral cyclophosphamide (MOC) in advanced sarcomas. Annals of Oncology. 28. x149–x150. 1 indexed citations
10.
Nagarajan, Chandramouli, Nicholas F. Grigoropoulos, S. Gopalakrishnan, et al.. (2017). VALIDATION OF THE CNS INTERNATIONAL PROGNOSTIC INDEX IN A LARGE ASIAN COHORT–DATA FROM THE SINGAPORE LYMPHOMA STUDY GROUP. Hematological Oncology. 35(S2). 197–198. 1 indexed citations
11.
Wong, Yu Jun, M. Tao, Rina Hui, et al.. (2014). Role of Bone Marrow Evaluation (Bme) in Primary Central Nervous System Lymphoma (Pcnsl) in a Multiracial Asian Population. Annals of Oncology. 25. iv144–iv144. 1 indexed citations
12.
Chung, Jae Heun, et al.. (2011). Central nervous system (CNS) relapse in diffuse large B cell lymphoma (DLBCL): pre- and post-rituximab. Annals of Hematology. 90(7). 809–818. 98 indexed citations
13.
Quek, R., et al.. (2011). Do We Have the Right Prognostic Index for Diffuse Large B Cell Lymphoma (DLBCL) in the Era of Rituximab?. SHILAP Revista de lepidopterología. 20(1). 48–54. 1 indexed citations
14.
Tan, Soo‐Yong, et al.. (2010). Primary mediastinal large B-cell lymphoma: Optimal therapy and prognostic factors in 40 consecutive Asian patients.. Journal of Clinical Oncology. 28(15_suppl). 8074–8074.
15.
Ngeow, Joanne, R. Quek, David Chee Eng Ng, et al.. (2009). High SUV uptake on FDG–PET/CT predicts for an aggressive B-cell lymphoma in a prospective study of primary FDG–PET/CT staging in lymphoma. Annals of Oncology. 20(9). 1543–1547. 113 indexed citations
16.
Lim, Soon Thye, M. Tao, YB Cheung, Sandeep K. Rajan, & Bhupinder Mann. (2005). Can patients with early-stage diffuse large B-cell lymphoma be treated without bone marrow biopsy?. Annals of Oncology. 16(2). 215–218. 20 indexed citations
17.
Tao, M., J. Russell Geyer, Richard Sposto, et al.. (2000). Radiation therapy for malignant brain tumors in infants less than 36 months old: Compliance and survival. International Journal of Radiation Oncology*Biology*Physics. 48(3). 180–180. 2 indexed citations
18.
Tan, E.H., K. Khoo, Joseph Wee, et al.. (1999). Phase II trial of a paclitaxel and carboplatin combination in Asian patients with metastatic nasopharyngeal carcinoma. Annals of Oncology. 10(2). 235–238. 118 indexed citations
19.
Yang, Zijian, et al.. (1990). Effect of three-year multidrug therapy in multibacillary leprosy patients.. PubMed. 5(1). 37–40. 1 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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