Johnson Darko

696 citations
51 papers · 517 indexed · h-index 13

Impact in

Papers in

Johnson Darko

46 papers receiving 498 citations

Peers

Johnson Darko
Comparison fields: 5 of 93
  • Radiation 172
  • Radiology, Nuclear Medicine and Imaging 281
  • Pulmonary and Respiratory Medicine 191
  • Molecular Medicine 22
  • Radiological and Ultrasound Technology 20
Replace Emiliano C. C. Pozzi with:
Emiliano C. C. Pozzi Argentina
Marcela A. Garabalino Argentina
S. Kandaiya Malaysia
Hassan Yousefnia Iran
Verónica A. Trivillin Argentina
Douglas N. Abrams Canada
Alireza Farajollahi Iran
Shih‐Ming Hsu Taiwan
Silvia I. Thorp Argentina
M. Neves Portugal
Johnson Darko relative to Emiliano C. C. Pozzi Argentina Emiliano C. C. Pozzi's profile →
Citations per field
00.5×5.5×
Emiliano C. C. Pozzi · 1×
Citations per year

Countries citing papers authored by Johnson Darko

Since Specialization
Citations

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

Fields of papers citing papers by Johnson Darko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200162
2 201256
3 201851
4 201942
5 200932
6 201831
7 200920
8 200519
9 200818
10 200318
11 201017
12 201216
13 201015
14 200312
15 20179
16 20138
17 20157
18 20197
19 20197
20 20197

About Johnson Darko

Johnson Darko is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Materials Chemistry, having authored 51 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (31 papers), Medical Imaging Techniques and Applications (20 papers), Radiation Therapy and Dosimetry (20 papers), Advanced X-ray and CT Imaging (7 papers), Radiation Dose and Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Radiation (172 citations), Radiology, Nuclear Medicine and Imaging (281 citations), Pulmonary and Respiratory Medicine (191 citations), Molecular Medicine (22 citations) and Radiological and Ultrasound Technology (20 citations). Johnson Darko has collaborated with scholars based in Canada, India and New Zealand. Frequent co-authors include Ernest Osei, L J Schreiner, Andre Fleck, Shruti Nambiar, Shawn Wettig, Anthony J. Mutsaers, Chandra P. Joshi, Ivan Yeung, M. Haider and Michael Milosevic. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Journal of Veterinary Internal Medicine and Plastic & Reconstructive Surgery.

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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