Daniel I. Chu

2.9k total citations
140 papers, 1.9k citations indexed

About

Daniel I. Chu is a scholar working on Surgery, Oncology and General Health Professions. According to data from OpenAlex, Daniel I. Chu has authored 140 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Surgery, 47 papers in Oncology and 35 papers in General Health Professions. Recurrent topics in Daniel I. Chu's work include Cardiac, Anesthesia and Surgical Outcomes (33 papers), Enhanced Recovery After Surgery (27 papers) and Colorectal Cancer Surgical Treatments (23 papers). Daniel I. Chu is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (33 papers), Enhanced Recovery After Surgery (27 papers) and Colorectal Cancer Surgical Treatments (23 papers). Daniel I. Chu collaborates with scholars based in United States, South Africa and Australia. Daniel I. Chu's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Annals of Surgery.

In The Last Decade

Daniel I. Chu

119 papers receiving 1.9k citations

Peers

Daniel I. Chu

SURGE

ONCOL

CCM

GHP

PHEOH

Mark S. Gottlieb United States

Jacqui Wise

David D. Kim United States

Richard Contreras United States

Mark Corrigan Ireland

Shailesh Advani United States

Ehud Kokia Israel

John L. Tarpley United States

JudyAnn Bigby United States

Michael D. Swartz United States

Mark S. Gottlieb United States

Daniel I. Chu

439 ×0.6

SURGE

563 ×1.0

ONCOL

183 ×0.5

CCM

344 ×1.0

GHP

185 ×0.8

PHEOH

Citations per year, relative to Daniel I. Chu Daniel I. Chu (= 1×) peers Mark S. Gottlieb

Countries citing papers authored by Daniel I. Chu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel I. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel I. Chu. A scholar is included among the top collaborators of Daniel I. 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 Daniel I. Chu. Daniel I. Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Oslock, Wendelyn M., Lauren Wood, Mohanraj Thirumalai, et al.. (2025). De novo generation of colorectal patient educational materials using large language models: Prompt engineering key to improved readability. Surgery. 180. 109024–109024. 3 indexed citations

Chu, Daniel I., et al.. (2025). Defining Opportunities to Improve Perioperative Ostomy Care and Education. Annals of Surgery Open. 6(1). e563–e563.

Oslock, Wendelyn M., Bayley A. Jones, M. J. Ruzmyn Vilcassim, et al.. (2025). Ambient Air Pollution and Thoracic Surgery Outcomes: Assessing the Impact of Particulate Matter. The Annals of Thoracic Surgery. 120(3). 582–590.

Jones, Bayley A., Joshua Richman, L. Wood, et al.. (2025). Predictors of Patient-Reported Receipt of Preoperative Education in an Enhanced Recovery Program. Journal of Surgical Research. 313. 104–111.

Chu, Daniel I., et al.. (2024). Demographic, clinical, and social characteristics of anal cancer among patients stratified by age (<50 and ≥50 years) in Alabama between 2012 and 2018. Cancer Epidemiology. 92. 102612–102612. 1 indexed citations

Jones, Bayley A., Wendelyn M. Oslock, Robert H. Hollis, et al.. (2024). Novel Characterization of Socioecological Determinants of Health in Rural Alabama. Journal of Surgical Research. 301. 468–481.

Rocque, Gabrielle B., Stacey A. Ingram, Daniel I. Chu, et al.. (2024). Understanding Multi-Level Factors Impacting Digital Health Literacy in the Deep South of the United States. International Journal of Environmental Research and Public Health. 22(1). 41–41. 1 indexed citations

Bleicher, Josh, Robert D. Shaw, Richard J. Barth, et al.. (2023). Surgical Trainee Perspectives on the Opioid Crisis: The Influence of Explicit and Hidden Curricula. Journal of surgical education. 80(6). 786–796. 1 indexed citations

Jones, Bayley A., Maria Pisu, Yu‐Mei Schoenberger, et al.. (2023). Patient perspectives of the quality of preoperative education in surgical cancer care.. JCO Oncology Practice. 19(11_suppl). 207–207. 1 indexed citations

10.

Hollis, Robert H. & Daniel I. Chu. (2022). Healthcare Disparities and Colorectal Cancer. Surgical Oncology Clinics of North America. 31(2). 157–169. 17 indexed citations

11.

Irfan, Ahmer, Jeremie M. Lever, Mona N. Fouad, et al.. (2021). Does health literacy impact technological comfort in cancer patients?. The American Journal of Surgery. 223(4). 722–728. 15 indexed citations

12.

Kosaka, Hisashi, Masaki Kaibori, Daniel I. Chu, Arthur F. Stucchi, & Mitsugu Sekimoto. (2021). Role of Substance P–Dependent Chemotactic Signaling in Postoperative Adhesion Formation. Journal of Surgical Research. 270. 49–57. 3 indexed citations

13.

McLeod, M. Chandler, Lauren M. Theiss, Connie Shao, et al.. (2021). Ileostomy Patients Using Patient Engagement Technology Experience Decreased Length of Stay. Journal of Gastrointestinal Surgery. 26(3). 635–642. 8 indexed citations

14.

Sutzko, Danielle C., Colin Martin, & Daniel I. Chu. (2020). Development and implementation of virtual grand rounds in surgery. The American Journal of Surgery. 221(1). 46–48. 13 indexed citations

15.

Toh, James Wei Tatt, Kevin Phan, Grahame Ctercteko, et al.. (2018). The role of mechanical bowel preparation and oral antibiotics for left-sided laparoscopic and open elective restorative colorectal surgery with and without faecal diversion. International Journal of Colorectal Disease. 33(12). 1781–1791. 14 indexed citations

16.

Jones, Caroline E., Robert H. Hollis, Tyler S. Wahl, et al.. (2017). Venous thromboembolic events: How low can you go?. The American Journal of Surgery. 213(4). 706–710. 3 indexed citations

17.

Jones, Caroline E., et al.. (2016). Readmission rates after lower extremity bypass vary significantly by surgical indication. Journal of Vascular Surgery. 64(2). 458–464. 29 indexed citations

18.

Morris, Melanie S., et al.. (2016). Local repair of stoma prolapse: Case report of an in vivo application of linear stapler devices. Annals of Medicine and Surgery. 11. 32–35. 9 indexed citations

19.

Maples, Kirk R., Conrad R. Wheeler, Jacob J. Plattner, et al.. (2007). Novel Semisynthetic Derivative of Antibiotic Eremomycin Active against Drug-Resistant Gram-Positive Pathogens Including Bacillus anthracis. Journal of Medicinal Chemistry. 50(15). 3681–3685. 21 indexed citations

20.

Grigorian, R.A., et al.. (2006). Intra–Operative and Post–Operative Complications in Resident–Performed Cataract Surgery. Investigative Ophthalmology & Visual Science. 47(13). 656–656. 1 indexed citations

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.

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