Mee‐Hoong See

1.7k total citations
74 papers, 979 citations indexed

About

Mee‐Hoong See is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Mee‐Hoong See has authored 74 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 29 papers in Cancer Research and 17 papers in Surgery. Recurrent topics in Mee‐Hoong See's work include Breast Cancer Treatment Studies (25 papers), Global Cancer Incidence and Screening (15 papers) and Breast Lesions and Carcinomas (12 papers). Mee‐Hoong See is often cited by papers focused on Breast Cancer Treatment Studies (25 papers), Global Cancer Incidence and Screening (15 papers) and Breast Lesions and Carcinomas (12 papers). Mee‐Hoong See collaborates with scholars based in Malaysia, Netherlands and United Kingdom. Mee‐Hoong See's co-authors include Nur Aishah Mohd Taib, Suniza Jamaris, Nirmala Bhoo‐Pathy, GH Tan, K.P. Ng, Rafid Salim Jabir, Cheng Har Yip, Maznah Dahlui, Lee Lee Lai and Chong Guan Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Mee‐Hoong See

67 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mee‐Hoong See Malaysia 15 548 245 190 136 103 74 979
Yi‐Ping Hung Taiwan 17 337 0.6× 119 0.5× 232 1.2× 115 0.8× 85 0.8× 45 839
Chan Shen United States 17 654 1.2× 107 0.4× 272 1.4× 170 1.3× 104 1.0× 50 1.4k
Ishwaria M. Subbiah United States 19 583 1.1× 140 0.6× 324 1.7× 118 0.9× 171 1.7× 94 1.1k
Weng Ng Australia 20 655 1.2× 167 0.7× 181 1.0× 153 1.1× 199 1.9× 73 1.1k
Gianluca Vanni Italy 20 553 1.0× 258 1.1× 250 1.3× 336 2.5× 56 0.5× 104 1.2k
Kerri Beckmann Australia 22 716 1.3× 271 1.1× 388 2.0× 188 1.4× 129 1.3× 116 1.7k
Rachel V. Stankowski United States 17 448 0.8× 238 1.0× 114 0.6× 183 1.3× 331 3.2× 26 1.2k
Shayna L. Showalter United States 18 510 0.9× 312 1.3× 138 0.7× 188 1.4× 122 1.2× 72 1.1k
Uwe Güth Switzerland 22 694 1.3× 457 1.9× 178 0.9× 199 1.5× 205 2.0× 102 1.4k
Kristin Anderson United States 13 400 0.7× 186 0.8× 87 0.5× 108 0.8× 253 2.5× 17 1.3k

Countries citing papers authored by Mee‐Hoong See

Since Specialization
Citations

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

Fields of papers citing papers by Mee‐Hoong See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mee‐Hoong See. 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 Mee‐Hoong See. The network helps show where Mee‐Hoong See may publish in the future.

Co-authorship network of co-authors of Mee‐Hoong See

This figure shows the co-authorship network connecting the top 25 collaborators of Mee‐Hoong See. A scholar is included among the top collaborators of Mee‐Hoong See 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 Mee‐Hoong See. Mee‐Hoong See 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
1.
See, Mee‐Hoong, et al.. (2025). Patients’ Acceptability and Perspective on Utilizing Telemedicine in Breast Cancer Care and Management. Telemedicine Journal and e-Health. 31(5). 624–633. 1 indexed citations
2.
Hasan, Siti Norhidayu, Tania Islam, Li‐Ying Teoh, et al.. (2024). Clustering of HR + /HER2− breast cancer in an Asian cohort is driven by immune phenotypes. Breast Cancer Research. 26(1). 67–67.
3.
Hasan, Siti Norhidayu, Tania Islam, Li‐Ying Teoh, et al.. (2024). Gene expression signature for predicting homologous recombination deficiency in triple-negative breast cancer. npj Breast Cancer. 10(1). 60–60. 2 indexed citations
4.
Barathan, Muttiah, et al.. (2023). Anticancer effect of aromatic isoniazid derivatives in human gastric adenocarcinoma cells. Toxicology and Applied Pharmacology. 481. 116767–116767. 7 indexed citations
5.
Subramaniam, Shridevi, Yek‐Ching Kong, Cheng Har Yip, et al.. (2023). Association between pre-existing cardiometabolic comorbidities and the pathological profiles of breast cancer at initial diagnosis: a cross sectional study. ecancermedicalscience. 17. 1 indexed citations
6.
Gils, Carla H. van, Cheng Har Yip, Isabelle Soerjomataram, et al.. (2023). Discriminatory Ability and Clinical Utility of the AJCC7 and AJCC8 Staging Systems for Breast Cancer in a Middle-Income Setting. Diagnostics. 13(4). 674–674. 1 indexed citations
7.
Barathan, Muttiah, Kumutha Malar Vellasamy, Zaridatul Aini Ibrahim, et al.. (2023). Hyperforin-mediated anticancer mechanisms in MDA-MB-231 cell line: insights into apoptotic mediator modulation and caspase activation. SHILAP Revista de lepidopterología. 17(1). 2 indexed citations
8.
9.
Dahlui, Maznah, Meram Azzani, Nur Aishah Mohd Taib, et al.. (2023). Breast conserving surgery versus mastectomy: the effect of surgery on quality of life in breast cancer survivors in Malaysia. BMC Women s Health. 23(1). 607–607. 4 indexed citations
10.
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Yip, Cheng Har, Nur Aishah Mohd Taib, Mee‐Hoong See, et al.. (2022). Association Between Adherence to Clinical Practice Guidelines for Adjuvant Therapy for Breast Cancer and Survival in a Resource-Limited Setting. JCO Global Oncology. 8(8). e2100314–e2100314. 5 indexed citations
13.
Loh, Pui San, Sook Hui Chaw, Rafdzah Ahmad Zaki, et al.. (2022). Psychological distress among elderly surgical patients who had their surgery postponed during the COVID-19 pandemic. SHILAP Revista de lepidopterología. 11(1). 10–10. 1 indexed citations
14.
Ng, Wei Lin, et al.. (2021). Desmoid Type Fibromatosis of the Breast Masquerading as Breast Carcinoma: Value of Dynamic Magnetic Resonance Imaging and Its Correlation. SHILAP Revista de lepidopterología. 17(2). 197–199. 6 indexed citations
15.
Subramaniam, Shridevi, Yek‐Ching Kong, Cuno S.P.M. Uiterwaal, et al.. (2021). Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer. ecancermedicalscience. 15. 1293–1293. 10 indexed citations
16.
Teoh, Li‐Ying, Lee Lee Lai, Suniza Jamaris, et al.. (2020). Oncological safety and postoperative complications in oncoplastic breast surgery among Asian women: A single institutional review. The Breast Journal. 26(11). 2208–2212. 2 indexed citations
17.
18.
Moradi, F., Ngie Min Ung, Ghafour Amouzad Mahdiraji, et al.. (2019). Evaluation of Ge-doped silica fibre TLDs for in vivo dosimetry during intraoperative radiotherapy. Physics in Medicine and Biology. 64(8). 08NT04–08NT04. 18 indexed citations
19.
Rahmat, Kartini, et al.. (2018). Radiopathological characteristics and outcomes of phyllodes tumor of the breast in Malaysian women. Medicine. 97(31). e11412–e11412. 12 indexed citations
20.
Bhoo‐Pathy, Nirmala, Mee‐Hoong See, Gie-Hooi Tan, et al.. (2014). Prediction of Lymph Node Involvement in Patients with Breast Tumors Measuring 3–5 cm in a Middle‐Income Setting: the Role of CancerMath. World Journal of Surgery. 38(12). 3133–3137. 3 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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