D. Hashimoto

607 citations
6 papers · 177 indexed · h-index 5

Impact in

    • Surgical Simulation and Training
    • Minimally Invasive Surgical Techniques
    • Pelvic and Acetabular Injuries

Papers in

D. Hashimoto

6 papers receiving 172 citations

Peers

D. Hashimoto
Comparison fields: 5 of 56
  • Health Informatics 6
  • Surgery 115
  • Pulmonary and Respiratory Medicine 43
  • Cardiology and Cardiovascular Medicine 28
  • Radiology, Nuclear Medicine and Imaging 28
Replace Michael Mulligan with:
Michael Mulligan United States
Giovanni Guglielmo Laracca Italy
Willem M. Brinkman Netherlands
André Luiz Gioia Morrell Brazil
Anirudh Chandrashekar United Kingdom
Youngjune Kim South Korea
Federica Negri Italy
Jeffrey S. Levy United States
Sheldon Derkatch Canada
D. Hashimoto relative to Michael Mulligan United States Michael Mulligan's profile →
Citations per field
00.5×
Michael Mulligan · 1×
Citations per year

Countries citing papers authored by D. Hashimoto

Since Specialization
Citations

This map shows the geographic impact of D. Hashimoto'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 D. Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Hashimoto more than expected).

Fields of papers citing papers by D. Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Hashimoto. 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 D. Hashimoto. The network helps show where D. Hashimoto may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Hashimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Hashimoto Line = papers co-authored together D. Hashimoto links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2019136
2
National Electrical Manufacturers Association recommendations for implementing SPECT instrumentation quality control.
200013
3 202312
4 201911
5 20174
6
National Electrical Manufacturers Association recommendations for implementing SPECT instrumentation quality control.
19991

About D. Hashimoto

D. Hashimoto is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Surgery, Biomedical Engineering and Infectious Diseases, having authored 6 papers that have together received 177 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Surgical Simulation and Training (2 papers), Advanced X-ray and CT Imaging (2 papers), Colorectal Cancer Screening and Detection (2 papers), Pelvic and Acetabular Injuries (1 paper), Enhanced Recovery After Surgery (1 paper) and Esophageal Cancer Research and Treatment (1 paper). The work is most often cited by research in Health Informatics (6 citations), Surgery (115 citations), Pulmonary and Respiratory Medicine (43 citations), Cardiology and Cardiovascular Medicine (28 citations) and Radiology, Nuclear Medicine and Imaging (28 citations). D. Hashimoto has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sanjoy Roy, Naeem Soomro, C. Ridley, W. Marsh, Nader Francis, Phil Vernon, V. Simcic, H. Hines, James G. Colsher and Nathan Curtis. Their work appears in journals such as BJS Open, Surgical Endoscopy, Journal of Visceral Surgery, Gastroenterology Research and Practice and PubMed.

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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