Daniel V. Wakefield

25 papers receiving 279 citations

Peers

Daniel V. Wakefield
Comparison fields: 5 of 85
  • Geriatrics and Gerontology 22
  • Biological Psychiatry 14
  • Periodontics 9
  • Endocrine and Autonomic Systems 13
  • Gastroenterology 9
Replace Diego Chambergo‐Michilot with:
Diego Chambergo‐Michilot Peru
Nobuyuki Hirohashi Japan
Catalina Bonet Spain
Balàzs Nagy Hungary
Fatemeh Mansouri Iran
Lisbeth A. Boulé United States
Antonio Navareño Mateos Spain
Włodzimierz Mazur Poland
Delphine Klein France
Daniel V. Wakefield relative to Diego Chambergo‐Michilot Peru Diego Chambergo‐Michilot's profile →
Citations per field
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Diego Chambergo‐Michilot · 1×
Citations per year

Countries citing papers authored by Daniel V. Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by Daniel V. Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201629
3 202229
4 202015
5 201513
6 202112
7 201910
8 20179
9 20169
10 20208
11 20168
12 20188
13 20108
14 20186
15 20226
16 20205
17 20214
18 20202
19 20202
20 20222

About Daniel V. Wakefield

Daniel V. Wakefield is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Public Health, Environmental and Occupational Health, Economics and Econometrics and Surgery, having authored 26 papers that have together received 280 indexed citations. Recurring topics across this work include Advances in Oncology and Radiotherapy (8 papers), Radiation Dose and Imaging (8 papers), Global Cancer Incidence and Screening (4 papers), Economic and Financial Impacts of Cancer (3 papers), Advanced Radiotherapy Techniques (3 papers), COVID-19 and healthcare impacts (3 papers), Global Health and Surgery (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Geriatrics and Gerontology (22 citations), Biological Psychiatry (14 citations), Periodontics (9 citations), Endocrine and Autonomic Systems (13 citations) and Gastroenterology (9 citations). Daniel V. Wakefield has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include James J. Grady, Frank C. Nichols, Mai Fujiwara, Robert B. Clark, Xudong Yao, James O. Donaldson, Reza Nemati, Vahid Farrokhi, Emily J. Anstadt and Noam A. VanderWalde. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology, Radiotherapy and Oncology, Journal of Geriatric Oncology and The Science of The Total Environment.

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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