Daniel I. Chu
Impact in
- Surgery top 5%
- Enhanced Recovery After Surgery
- Surgical site infection prevention
- Intestinal and Peritoneal Adhesions
- Health Informatics top 10%
Papers in
- Co-authors
- Melanie S. Morris (30 shared papers)Jamie A. Cannon (14 shared papers)Isabel Marques (16 shared papers)Robert H. Hollis (28 shared papers)Joshua Richman (14 shared papers)Mary T. Hawn (4 shared papers)Tyler S. Wahl (7 shared papers)Lauren Goss (7 shared papers)
- Journals
- The American Journal of Surgery (16 papers)Journal of Surgical Research (12 papers)Journal of Gastrointestinal Surgery (10 papers)Journal of the American College of Surgeons (7 papers)Surgery (6 papers)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Daniel I. Chu
121 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 158
- Surgery 602
- Health Informatics 19
- Oncology 295
- General Health Professions 218
- Cardiology and Cardiovascular Medicine 139
Countries citing papers authored by Daniel I. Chu
This map shows the geographic impact of Daniel I. 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 Daniel I. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel I. Chu more than expected).
Fields of papers citing papers by Daniel I. Chu
This network shows the impact of papers produced by Daniel I. 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 Daniel I. Chu. The network helps show where Daniel I. Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel I. Chu, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 154 | |
| 2 | 2015 | 141 | |
| 3 | 2017 | 123 | |
| 4 | 2020 | 121 | |
| 5 | 2011 | 74 | |
| 6 | 2018 | 64 | |
| 7 | 2020 | 62 | |
| 8 | 2018 | 53 | |
| 9 | 2004 | 50 | |
| 10 | 2021 | 48 | |
| 11 | 2016 | 45 | |
| 12 | 2018 | 41 | |
| 13 | 2011 | 40 | |
| 14 | 2019 | 36 | |
| 15 | 2017 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2020 | 33 | |
| 18 | 2011 | 32 | |
| 19 | 2020 | 31 | |
| 20 | 2016 | 29 |
About Daniel I. Chu
Daniel I. Chu is a scholar working on Surgery, Oncology, General Health Professions, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 142 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enhanced Recovery After Surgery (20 papers), Health Literacy and Information Accessibility (11 papers), Cardiac, Anesthesia and Surgical Outcomes (9 papers), Colorectal Cancer Surgical Treatments (8 papers), COVID-19 and healthcare impacts (6 papers), Telemedicine and Telehealth Implementation (5 papers), Intestinal and Peritoneal Adhesions (5 papers) and Stoma care and complications (5 papers). The work is most often cited by research in Surgery (602 citations), Health Informatics (19 citations), Oncology (295 citations), General Health Professions (218 citations) and Cardiology and Cardiovascular Medicine (139 citations). Daniel I. Chu has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Melanie S. Morris, Jamie A. Cannon, Isabel Marques, Robert H. Hollis, Joshua Richman, Mary T. Hawn, Tyler S. Wahl, Lauren Goss, Lauren M. Theiss and Laura A. Graham. Their work appears in journals such as The American Journal of Surgery, Journal of Surgical Research, Journal of Gastrointestinal Surgery, Journal of the American College of Surgeons and 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.