Daniel Holst
Impact in
- Health Informatics top 10%
-
- Surgical Simulation and Training
Papers in
- Surgery 8
- Surgical Simulation and Training 4
- Bladder and Urothelial Cancer Treatments 2
- Urinary and Genital Oncology Studies 2
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- Kidney Stones and Urolithiasis Treatments 3
- Co-authors
- Lee White (5 shared papers)Thomas S. Lendvay (5 shared papers)Timothy M. Kowalewski (4 shared papers)Timothy C. Brand (3 shared papers)Jonathan D. Harper (3 shared papers)Bryan A. Comstock (1 shared paper)Chris Lintott (1 shared paper)Carolyn Chen (1 shared paper)
- Journals
- Journal of Endourology (4 papers)Urology (3 papers)Journal of the American College of Surgeons (2 papers)Cancer (1 paper)Current Opinion in Urology (1 paper)
- Partner nations
- United StatesUnited KingdomEthiopia
In The Last Decade
Daniel Holst
12 papers receiving 347 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 13
- Surgery 232
- Cardiology and Cardiovascular Medicine 96
- Computer Science Applications 21
- Public Health, Environmental and Occupational Health 74
Countries citing papers authored by Daniel Holst
This map shows the geographic impact of Daniel Holst'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 Holst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Holst more than expected).
Fields of papers citing papers by Daniel Holst
This network shows the impact of papers produced by Daniel Holst. 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 Holst. The network helps show where Daniel Holst may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Holst, 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 | 2013 | 132 | |
| 2 | 2015 | 67 | |
| 3 | 2014 | 66 | |
| 4 | 2001 | 40 | |
| 5 | 2018 | 29 | |
| 6 | 2020 | 9 | |
| 7 | 2014 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2018 | 0 | |
| 14 | 2022 | 0 |
About Daniel Holst
Daniel Holst is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Urology, having authored 14 papers that have together received 361 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Urological Disorders and Treatments (3 papers), Pediatric Urology and Nephrology Studies (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Urinary and Genital Oncology Studies (2 papers). The work is most often cited by research in Health Informatics (13 citations), Surgery (232 citations), Cardiology and Cardiovascular Medicine (96 citations), Computer Science Applications (21 citations) and Public Health, Environmental and Occupational Health (74 citations). Daniel Holst has collaborated with scholars based in United States, United Kingdom and Ethiopia. Frequent co-authors include Lee White, Thomas S. Lendvay, Timothy M. Kowalewski, Timothy C. Brand, Jonathan D. Harper, Bryan A. Comstock, Chris Lintott, Carolyn Chen, Rajesh Aggarwal and Cecilia Aragón. Their work appears in journals such as Journal of Endourology, Urology, Journal of the American College of Surgeons, Cancer and Current Opinion in Urology.
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.