Katherine Wu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 7
- Cancer Cells and Metastasis 3
- CAR-T cell therapy research 2
- Co-authors
- Tuomas Tammela (5 shared papers)Tyler Jacks (3 shared papers)Thales Papagiannakopoulos (3 shared papers)Quynh P. Pham (1 shared paper)W. E. Billups (1 shared paper)Lon J. Wilson (1 shared paper)Balaji Sitharaman (1 shared paper)Antonios G. Mikos (1 shared paper)
- Journals
- Nature (2 papers)Oncotarget (2 papers)Gastroenterology (2 papers)Thyroid (1 paper)Annals of Surgery (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Katherine Wu
18 papers receiving 1.3k citations
Katherine Wu's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 237
- Oncology 321
- Biomaterials 131
- Biotechnology 86
- Pulmonary and Respiratory Medicine 277
Countries citing papers authored by Katherine Wu
This map shows the geographic impact of Katherine 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 Katherine Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Wu more than expected).
Fields of papers citing papers by Katherine Wu
This network shows the impact of papers produced by Katherine 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 Katherine Wu. The network helps show where Katherine Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine 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
| # | Work | ||
|---|---|---|---|
| 1 | Anatomically and Functionally Distinct Lung Mesenchymal Populations Marked by Lgr5 and Lgr6 Hit paper breakdown → | 2017 | 256 |
| 2 | 2017 | 235 | |
| 3 | 2007 | 231 | |
| 4 | 1994 | 96 | |
| 5 | The pleiotropic functions of reactive oxygen species in cancer Hit paper breakdown → | 2024 | 94 |
| 6 | 2021 | 57 | |
| 7 | 2014 | 52 | |
| 8 | 2016 | 49 | |
| 9 | 2018 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2020 | 32 | |
| 12 | 2021 | 30 | |
| 13 | 2010 | 23 | |
| 14 | 2018 | 18 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 |
About Katherine Wu
Katherine Wu is a scholar working on Molecular Biology, Oncology, Surgery, Biotechnology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Research and Treatments (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer Cells and Metastasis (3 papers), Genetic factors in colorectal cancer (2 papers), Virus-based gene therapy research (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), CAR-T cell therapy research (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Cancer Research (237 citations), Oncology (321 citations), Biomaterials (131 citations), Biotechnology (86 citations) and Pulmonary and Respiratory Medicine (277 citations). Katherine Wu has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Tuomas Tammela, Tyler Jacks, Thales Papagiannakopoulos, Quynh P. Pham, W. E. Billups, Lon J. Wilson, Balaji Sitharaman, Antonios G. Mikos, Feng Liang and Xinfeng Shi. Their work appears in journals such as Nature, Oncotarget, Gastroenterology, Thyroid and Annals of Surgery.
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.