Linda C. Chu
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Co-authors
- Elliot K. FishmanRalph H. HrubanMichael GogginsSteven P. RoweSatomi KawamotoChristina L. StallingsMichael S. GlickmanBryce E. Nickels
- Topics
- Pancreatic and Hepatic Oncology Research (47 papers)Radiomics and Machine Learning in Medical Imaging (40 papers)Neuroendocrine Tumor Research Advances (12 papers)
- Journals
- CellJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceGermany
In The Last Decade
Linda C. Chu
151 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Oncology 1.0k
- Radiology, Nuclear Medicine and Imaging 781
- Surgery 524
- Pulmonary and Respiratory Medicine 518
- Molecular Biology 481
Countries citing papers authored by Linda C. Chu
This map shows the geographic impact of Linda C. Chu'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 Linda C. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda C. Chu more than expected).
Fields of papers citing papers by Linda C. Chu
This network shows the impact of papers produced by Linda C. Chu. 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 Linda C. Chu. The network helps show where Linda C. Chu may publish in the future.
Co-authorship network of co-authors of Linda C. Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Linda C. Chu. A scholar is included among the top collaborators of Linda C. Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda C. Chu. Linda C. Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 9 |
About Linda C. Chu
Linda C. Chu is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 170 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (47 papers), Radiomics and Machine Learning in Medical Imaging (40 papers) and Neuroendocrine Tumor Research Advances (12 papers). The work is most often cited by research in Health Informatics (75 citations), Oncology (1.0k citations) and Radiology, Nuclear Medicine and Imaging (781 citations). Linda C. Chu has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Elliot K. Fishman, Ralph H. Hruban, Michael Goggins, Steven P. Rowe, Satomi Kawamoto, Christina L. Stallings, Michael S. Glickman, Bryce E. Nickels, Nicolas C. Stephanou and Shahab Shayesteh. Their work appears in journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.