Keng Chen
Impact in
- Pathology and Forensic Medicine top 10%
- Spinal Cord Injury Research
-
- Cancer-related molecular mechanisms research
Papers in
-
- Spinal Cord Injury Research 6
- Spine and Intervertebral Disc Pathology 4
- Co-authors
- Stephen Shumack (6 shared papers)Lin Huang (14 shared papers)Zhaopeng Cai (14 shared papers)Huiyong Shen (13 shared papers)Jichao� Ye (10 shared papers)Adrian Lim (2 shared papers)Huiyong Shen (7 shared papers)Rui Yang (6 shared papers)
- Journals
- Australasian Journal of Dermatology (4 papers)Medicine (2 papers)European Spine Journal (2 papers)Antiviral Therapy (1 paper)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Keng Chen
55 papers receiving 905 citations
Peers
Comparison fields: 5 of 113
- Pathology and Forensic Medicine 161
- Cancer Research 111
- Genetics 59
- Rheumatology 79
- Dermatology 45
Countries citing papers authored by Keng Chen
This map shows the geographic impact of Keng Chen'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 Keng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keng Chen more than expected).
Fields of papers citing papers by Keng Chen
This network shows the impact of papers produced by Keng Chen. 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 Keng Chen. The network helps show where Keng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Keng Chen, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 64 | |
| 2 | 2013 | 63 | |
| 3 | 2020 | 61 | |
| 4 | 2014 | 60 | |
| 5 | 2014 | 51 | |
| 6 | 2017 | 45 | |
| 7 | 2022 | 42 | |
| 8 | 2003 | 35 | |
| 9 | 2020 | 35 | |
| 10 | 2016 | 34 | |
| 11 | 2015 | 28 | |
| 12 | 2012 | 28 | |
| 13 | 2009 | 27 | |
| 14 | 2018 | 22 | |
| 15 | 2020 | 20 | |
| 16 | 2019 | 18 | |
| 17 | 2003 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2002 | 16 | |
| 20 | 2011 | 15 |
About Keng Chen
Keng Chen is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Surgery, Oncology and Cancer Research, having authored 62 papers that have together received 920 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Spinal Fractures and Fixation Techniques (4 papers), Management of metastatic bone disease (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), MicroRNA in disease regulation (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (161 citations), Cancer Research (111 citations), Genetics (59 citations), Rheumatology (79 citations) and Dermatology (45 citations). Keng Chen has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Stephen Shumack, Lin Huang, Zhaopeng Cai, Huiyong Shen, Jichao� Ye, Adrian Lim, Huiyong Shen, Rui Yang, Yong Tang and Peng Wang. Their work appears in journals such as Australasian Journal of Dermatology, Medicine, European Spine Journal, Antiviral Therapy and Carbohydrate Polymers.
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.