Wei‐Ling Chang
Impact in
- Oncology top 10%
- Lymphatic System and Diseases
- Cell Biology top 10%
- melanin and skin pigmentation
Papers in
- Oncology 16
- Lymphatic System and Diseases 8
- Peptidase Inhibition and Analysis 3
-
- Network Security and Intrusion Detection 4
- Mobile Ad Hoc Networks 3
- Cooperative Communication and Network Coding 3
- Co-authors
- Bo Wang (2 shared papers)Xunxun Chen (2 shared papers)Hung‐Chi Chen (9 shared papers)Oscar J. Manrique (9 shared papers)Pedro Ciudad (9 shared papers)Jih‐Hwa Guh (6 shared papers)Mouchammed Agko (7 shared papers)Chi‐Chen Chen (1 shared paper)
- Journals
- Journal of Surgical Oncology (4 papers)Microsurgery (4 papers)Biochemical Pharmacology (2 papers)Oncotarget (2 papers)Development (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Wei‐Ling Chang
45 papers receiving 922 citations
Peers
Comparison fields: 5 of 113
- Oncology 303
- Cell Biology 153
- Computer Networks and Communications 134
- Surgery 167
- Pharmacology 27
Countries citing papers authored by Wei‐Ling Chang
This map shows the geographic impact of Wei‐Ling Chang'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 Wei‐Ling Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Ling Chang more than expected).
Fields of papers citing papers by Wei‐Ling Chang
This network shows the impact of papers produced by Wei‐Ling Chang. 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 Wei‐Ling Chang. The network helps show where Wei‐Ling Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ling Chang, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 100 | |
| 2 | 2023 | 75 | |
| 3 | 2017 | 71 | |
| 4 | 2009 | 58 | |
| 5 | 2017 | 53 | |
| 6 | 2015 | 46 | |
| 7 | 2019 | 43 | |
| 8 | 2015 | 42 | |
| 9 | 2016 | 40 | |
| 10 | 2008 | 36 | |
| 11 | 2021 | 34 | |
| 12 | 2012 | 32 | |
| 13 | 2019 | 30 | |
| 14 | 2010 | 27 | |
| 15 | 2013 | 26 | |
| 16 | 2007 | 25 | |
| 17 | 2006 | 22 | |
| 18 | 2015 | 20 | |
| 19 | 2017 | 16 | |
| 20 | 2016 | 16 |
About Wei‐Ling Chang
Wei‐Ling Chang is a scholar working on Oncology, Computer Networks and Communications, Molecular Biology, Surgery and Cell Biology, having authored 46 papers that have together received 947 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (8 papers), Network Security and Intrusion Detection (4 papers), Lymphatic Disorders and Treatments (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Diagnosis and Treatment of Venous Diseases (3 papers), Peptidase Inhibition and Analysis (3 papers), Mobile Ad Hoc Networks (3 papers) and Cooperative Communication and Network Coding (3 papers). The work is most often cited by research in Oncology (303 citations), Cell Biology (153 citations), Computer Networks and Communications (134 citations), Surgery (167 citations) and Pharmacology (27 citations). Wei‐Ling Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Bo Wang, Xunxun Chen, Hung‐Chi Chen, Oscar J. Manrique, Pedro Ciudad, Jih‐Hwa Guh, Mouchammed Agko, Chi‐Chen Chen, Fabio Nicoli and Shou‐Hsia Cheng. Their work appears in journals such as Journal of Surgical Oncology, Microsurgery, Biochemical Pharmacology, Oncotarget and Development.
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.