Yu‐Ling Wu
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- MicroRNA in disease regulation
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Mitochondrial Function and Pathology 6
- Muscle Physiology and Disorders 3
- Retinoids in leukemia and cellular processes 2
-
- Genetic Neurodegenerative Diseases 7
- Co-authors
- Linda M. Boxer (2 shared papers)David H. Perlmutter (1 shared paper)Ernesto P. Molmenti (1 shared paper)Kirsty Moore (1 shared paper)Paul J. Hippenmeyer (1 shared paper)Magdalena Arcinas (1 shared paper)Caroline A. Heckman (1 shared paper)Xu‐Rong Jiang (5 shared papers)
- Journals
- Scientific Reports (3 papers)British Journal of Haematology (2 papers)Leukemia Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)Antioxidants (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu‐Ling Wu
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 200
- Cell Biology 131
- Molecular Biology 540
- Oncology 186
- Hematology 63
Countries citing papers authored by Yu‐Ling Wu
This map shows the geographic impact of Yu‐Ling Wu'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 Yu‐Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Ling Wu more than expected).
Fields of papers citing papers by Yu‐Ling Wu
This network shows the impact of papers produced by Yu‐Ling Wu. 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 Yu‐Ling Wu. The network helps show where Yu‐Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Ling Wu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 246 | |
| 2 | 2001 | 188 | |
| 3 | 2021 | 71 | |
| 4 | 2010 | 60 | |
| 5 | 2006 | 57 | |
| 6 | 2017 | 49 | |
| 7 | 1998 | 42 | |
| 8 | 2010 | 41 | |
| 9 | 2000 | 29 | |
| 10 | 2017 | 29 | |
| 11 | 2015 | 23 | |
| 12 | 2017 | 20 | |
| 13 | 2002 | 20 | |
| 14 | 2021 | 15 | |
| 15 | 1996 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2000 | 13 | |
| 18 | 2015 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 10 |
About Yu‐Ling Wu
Yu‐Ling Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Cancer Research and Hematology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers), Muscle Physiology and Disorders (3 papers), Immune Response and Inflammation (3 papers), Acute Myeloid Leukemia Research (3 papers), Liver physiology and pathology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (200 citations), Cell Biology (131 citations), Molecular Biology (540 citations), Oncology (186 citations) and Hematology (63 citations). Yu‐Ling Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Linda M. Boxer, David H. Perlmutter, Ernesto P. Molmenti, Kirsty Moore, Paul J. Hippenmeyer, Magdalena Arcinas, Caroline A. Heckman, Xu‐Rong Jiang, Stephen M. Kelsey and Adrian C. Newland. Their work appears in journals such as Scientific Reports, British Journal of Haematology, Leukemia Research, Biochemical and Biophysical Research Communications and Antioxidants.
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.