Yip Cheng Har

488 total citations
11 papers, 338 citations indexed

About

Yip Cheng Har is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yip Cheng Har has authored 11 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Yip Cheng Har's work include Cancer, Hypoxia, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Yip Cheng Har is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Yip Cheng Har collaborates with scholars based in Malaysia and United Kingdom. Yip Cheng Har's co-authors include Nur Aishah Mohd Taib, Rakesh Naidu, Píetro Lió, Mogana Darshini Ganggayah, Sarinder Kaur Dhillon, Khatijah Lim Abdullah, Ping Lei Chui and Pathmanathan Rajadurai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scandinavian Journal of Clinical and Laboratory Investigation and BMC Medical Informatics and Decision Making.

In The Last Decade

Yip Cheng Har

11 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yip Cheng Har Malaysia 7 123 114 90 68 62 11 338
Travis Osterman United States 11 119 1.0× 70 0.6× 127 1.4× 37 0.5× 64 1.0× 33 504
Matthew Zhang United States 11 99 0.8× 77 0.7× 24 0.3× 42 0.6× 27 0.4× 37 488
Rebecca S. Jacobson United States 10 202 1.6× 189 1.7× 27 0.3× 52 0.8× 54 0.9× 17 404
Ryan Goosen Switzerland 5 235 1.9× 77 0.7× 71 0.8× 68 1.0× 157 2.5× 5 529
Arturo López Pineda United States 8 82 0.7× 129 1.1× 23 0.3× 57 0.8× 37 0.6× 16 366
Dai Feng United States 13 84 0.7× 55 0.5× 57 0.6× 46 0.7× 36 0.6× 41 442
Tran Diem Nghi Vietnam 11 186 1.5× 21 0.2× 64 0.7× 29 0.4× 77 1.2× 14 424
Giovanna Nicora Italy 9 167 1.4× 79 0.7× 22 0.2× 46 0.7× 57 0.9× 35 434
Kim Erlend Mortensen Norway 11 40 0.3× 60 0.5× 143 1.6× 38 0.6× 38 0.6× 21 423
Poonam Patil India 7 22 0.2× 114 1.0× 55 0.6× 136 2.0× 32 0.5× 31 356

Countries citing papers authored by Yip Cheng Har

Since Specialization
Citations

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

Fields of papers citing papers by Yip Cheng Har

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yip Cheng Har. 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 Yip Cheng Har. The network helps show where Yip Cheng Har may publish in the future.

Co-authorship network of co-authors of Yip Cheng Har

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

All Works

11 of 11 papers shown
1.
Ganggayah, Mogana Darshini, Nur Aishah Mohd Taib, Yip Cheng Har, Píetro Lió, & Sarinder Kaur Dhillon. (2019). Predicting factors for survival of breast cancer patients using machine learning techniques. BMC Medical Informatics and Decision Making. 19(1). 48–48. 184 indexed citations
2.
Rajadurai, Pathmanathan, et al.. (2016). Invasive Carcinoma of Breast with Adnexal Differentiation of Trichoblastic Type. SHILAP Revista de lepidopterología. 4(2). 48–48. 1 indexed citations
3.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2011). Analysis of peptidyl-propyl-cis/trans isomerase 1 (PIN1) gene −842(G > C) and −667(T > C) polymorphic variants in relation to breast cancer risk and clinico-pathological parameters. Scandinavian Journal of Clinical and Laboratory Investigation. 71(6). 500–506. 12 indexed citations
4.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2011). Polymorphic Variant Ser128Arg of E-Selectin is Associated with Breast Cancer Risk and High Grade Tumors. Onkologie. 34(11). 592–597. 6 indexed citations
5.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2011). Genetic polymorphisms of TP53-binding protein 1 (TP53BP1) gene and association with breast cancer risk. Apmis. 119(7). 460–467. 6 indexed citations
6.
Chui, Ping Lei, Yip Cheng Har, & Khatijah Lim Abdullah. (2011). Informational needs of breast cancer patients on chemotherapy: differences between patients' and nurses' perceptions.. PubMed. 12(3). 797–802. 37 indexed citations
7.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2010). Glyoxalase I Ala111Glu gene polymorphism: No association with breast cancer risk but correlated with absence of progesterone receptor. Pathology International. 60(9). 614–620. 2 indexed citations
8.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2010). Genetic Polymorphisms of Paraoxonase 1 (PON1) Gene: Association Between L55M or Q192R with Breast Cancer Risk and Clinico-Pathological Parameters. Pathology & Oncology Research. 16(4). 533–540. 21 indexed citations
9.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2009). Polymorphism of FGFR4 Gly388Arg Does Not Confer an Increased Risk to Breast Cancer Development. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 18(2). 65–71. 19 indexed citations
10.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2009). Associations between hypoxia-inducible factor-1α (HIF-1α) gene polymorphisms and risk of developing breast cancer. Neoplasma. 56(5). 441–447. 31 indexed citations
11.
Naidu, Rakesh, Yip Cheng Har, & Nur Aishah Mohd Taib. (2007). P27 V109G Polymorphism is associated with lymph node metastases but not with increased risk of breast cancer.. PubMed. 26(1). 133–40. 19 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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