Yip Cheng Har
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Metabolism, Diabetes, and Cancer 2
- DNA Repair Mechanisms 1
- Signaling Pathways in Disease 1
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Nur Aishah Mohd Taib (9 shared papers)Mogana Darshini Ganggayah (1 shared paper)Píetro Lió (1 shared paper)Sarinder Kaur Dhillon (1 shared paper)Rakesh Naidu (8 shared papers)Khatijah Lim Abdullah (1 shared paper)Pathmanathan Rajadurai (1 shared paper)
- Journals
- Apmis (1 paper)Pathology & Oncology Research (1 paper)BMC Medical Informatics and Decision Making (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)Pathology International (1 paper)
- Partner nations
- MalaysiaUnited Kingdom
In The Last Decade
Yip Cheng Har
11 papers receiving 348 citations
Peers
Comparison fields: 5 of 80
- Health Information Management 67
- Health Informatics 7
- Clinical Biochemistry 26
- Artificial Intelligence 126
- Cancer Research 48
Countries citing papers authored by Yip Cheng Har
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
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-authors
The 7 scholars most cited alongside Yip Cheng Har, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 213 | |
| 2 | Informational needs of breast cancer patients on chemotherapy: differences between patients' and nurses' perceptions. | 2011 | 37 |
| 3 | 2009 | 30 | |
| 4 | 2010 | 21 | |
| 5 | 2009 | 19 | |
| 6 | P27 V109G Polymorphism is associated with lymph node metastases but not with increased risk of breast cancer. | 2007 | 19 |
| 7 | 2011 | 12 | |
| 8 | 2011 | 6 | |
| 9 | 2011 | 6 | |
| 10 | 2010 | 2 | |
| 11 | 2016 | 1 |
About Yip Cheng Har
Yip Cheng Har is a scholar working on Molecular Biology, Cancer Research, Clinical Biochemistry, Pathology and Forensic Medicine and Dermatology, having authored 11 papers that have together received 366 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), DNA Repair Mechanisms (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Digestive system and related health (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Signaling Pathways in Disease (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Health Information Management (67 citations), Health Informatics (7 citations), Clinical Biochemistry (26 citations), Artificial Intelligence (126 citations) and Cancer Research (48 citations). Yip Cheng Har has collaborated with scholars based in Malaysia and United Kingdom. Frequent co-authors include Nur Aishah Mohd Taib, Mogana Darshini Ganggayah, Píetro Lió, Sarinder Kaur Dhillon, Rakesh Naidu, Khatijah Lim Abdullah and Pathmanathan Rajadurai. Their work appears in journals such as Apmis, Pathology & Oncology Research, BMC Medical Informatics and Decision Making, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics and Pathology International.
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.