Daniel Canaday

17 papers receiving 676 citations

Peers

Daniel Canaday
Comparison fields: 5 of 79
  • Biotechnology 80
  • Cancer Research 133
  • Biophysics 47
  • Rehabilitation 26
  • Otorhinolaryngology 20
Replace Michael A. Mackey with:
Michael A. Mackey United States
Greg S. Karczmar United States
Wolfram Bunk Germany
Kazuki Okamura Japan
Michael V. Filatov Russia
Andrew Evans Canada
Andreyan Nikolaevich Osipov Russia
Bakhyt T. Matkarimov Kazakhstan
Jorge Fernández-de-Cossio-Díaz Cuba
Jeffrey C. Miecznikowski United States
Daniel Canaday relative to Michael A. Mackey United States Michael A. Mackey's profile →
Citations per field
00.5×5×10×13×
Michael A. Mackey · 1×
Citations per year

Countries citing papers authored by Daniel Canaday

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Canaday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Canaday, 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 Daniel Canaday Line = papers co-authored together Daniel Canaday links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201494
2 201987
3 200081
4 199972
5 199368
6 202160
7 201759
8 199354
9 202137
10 199924
11 199420
12 201616
13 202111
14 19989
15 20154
16 20223
17 19971
18 20210
19 20250

About Daniel Canaday

Daniel Canaday is a scholar working on Cancer Research, Hardware and Architecture, Otorhinolaryngology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 700 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Head and Neck Cancer Studies (2 papers), Effects of Radiation Exposure (2 papers), Microbial Inactivation Methods (2 papers), Neural Networks and Reservoir Computing (1 paper), Chaos control and synchronization (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Biotechnology (80 citations), Cancer Research (133 citations), Biophysics (47 citations), Rehabilitation (26 citations) and Otorhinolaryngology (20 citations). Daniel Canaday has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Raphael C. Lee, Andrew Pomerance, Howard Doong, Martin Bier, Raymond Dean Astumian, Daniel J. Gauthier, Louis F. DiMauro, C. Palatchi, Pierre Agostini and Jan Marcus Dahlström. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Oncology, Radiation Research, Bioelectromagnetics and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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