Suat‐Cheng Peh
Impact in
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
- Oncology 21
- Viral-associated cancers and disorders 15
- Polyomavirus and related diseases 2
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- Lymphoma Diagnosis and Treatment 18
- Genetic factors in colorectal cancer 3
- Co-authors
- Sin‐Yeang Teow (11 shared papers)Alan Soo Beng Khoo (3 shared papers)Kitson Liew (3 shared papers)Jiang Gu (2 shared papers)Syed Atif Ali (1 shared paper)Jian Xu (1 shared paper)Jingjing Yang (1 shared paper)Xiaohong Wei (1 shared paper)
- Journals
- Journal of Clinical and Experimental Hematopathology (6 papers)Pathology International (5 papers)Pathology (3 papers)Human Pathology (2 papers)Scientific Reports (1 paper)
- Partner nations
- MalaysiaNetherlandsChina
In The Last Decade
Suat‐Cheng Peh
43 papers receiving 1.9k citations
Suat‐Cheng Peh's Hit Papers
Peers
Comparison fields: 5 of 129
- Obstetrics and Gynecology 222
- Molecular Medicine 137
- Oncology 509
- Pathology and Forensic Medicine 282
- Infectious Diseases 273
Countries citing papers authored by Suat‐Cheng Peh
This map shows the geographic impact of Suat‐Cheng Peh'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 Suat‐Cheng Peh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suat‐Cheng Peh more than expected).
Fields of papers citing papers by Suat‐Cheng Peh
This network shows the impact of papers produced by Suat‐Cheng Peh. 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 Suat‐Cheng Peh. The network helps show where Suat‐Cheng Peh may publish in the future.
Co-authors
The 25 scholars most cited alongside Suat‐Cheng Peh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pathogenic Role of Immune Cells in Rheumatoid Arthritis: Implications in Clinical Treatment and Biomarker Development Hit paper breakdown → | 2018 | 342 |
| 2 | 2005 | 301 | |
| 3 | 2016 | 273 | |
| 4 | 2008 | 182 | |
| 5 | 2006 | 172 | |
| 6 | 2009 | 86 | |
| 7 | 2018 | 65 | |
| 8 | 2008 | 59 | |
| 9 | 2017 | 42 | |
| 10 | 2018 | 39 | |
| 11 | 2008 | 31 | |
| 12 | 2002 | 28 | |
| 13 | 1996 | 28 | |
| 14 | 2005 | 25 | |
| 15 | 2004 | 22 | |
| 16 | 2017 | 20 | |
| 17 | 2002 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2004 | 16 |
About Suat‐Cheng Peh
Suat‐Cheng Peh is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Physiology and Infectious Diseases, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (15 papers), COVID-19 epidemiological studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers), Histiocytic Disorders and Treatments (3 papers), Genetic factors in colorectal cancer (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Obstetrics and Gynecology (222 citations), Molecular Medicine (137 citations), Oncology (509 citations), Pathology and Forensic Medicine (282 citations) and Infectious Diseases (273 citations). Suat‐Cheng Peh has collaborated with scholars based in Malaysia, Netherlands and China. Frequent co-authors include Sin‐Yeang Teow, Alan Soo Beng Khoo, Kitson Liew, Jiang Gu, Syed Atif Ali, Jian Xu, Jingjing Yang, Xiaohong Wei, Encong Gong and Lihua Qi. Their work appears in journals such as Journal of Clinical and Experimental Hematopathology, Pathology International, Pathology, Human Pathology and Scientific Reports.
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.