Leonard Sunwoo

1.9k citations
72 papers · 1.2k indexed · 1 hit paper · h-index 21
Topics
Acute Ischemic Stroke Management (21 papers)Cerebrovascular and Carotid Artery Diseases (17 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEStroke

In The Last Decade

Leonard Sunwoo

65 papers receiving 1.2k citations

Hit Papers

${k}$ -Space Deep Learning for Accelerated MRI2019202620212023201950100150200

Peers

Leonard Sunwoo
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 695
  • Pulmonary and Respiratory Medicine 303
  • Genetics 191
  • Epidemiology 180
  • Biomedical Engineering 175
Replace Se Jin Cho with:
Se Jin Cho South Korea
Noriyuki Fujima Japan
Estanislao Arana Spain
Rebecca E. Thornhill Canada
Ramona Woitek Austria
Daniela Origgi Italy
Daniel Chow United States
Ida Häggström United States
Khin Khin Tha Japan
Moritz C. Wurnig Switzerland
Leonard Sunwoo relative to Se Jin Cho South Korea Se Jin Cho's profile →
Citations per field
00.5×10×20×32×
Se Jin Cho · 1×
Citations per year

Countries citing papers authored by Leonard Sunwoo

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Sunwoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Sunwoo

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Sunwoo. A scholar is included among the top collaborators of Leonard Sunwoo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonard Sunwoo. Leonard Sunwoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 5
5 1
6 3
7 5
8 10
9 2
10 2
11 2
12 1
13 5
14 1
15 40
16 37
17 26
18 40
19 56
20 10

About Leonard Sunwoo

Leonard Sunwoo is a scholar working on Health Informatics, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (21 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). The work is most often cited by research in Health Informatics (74 citations), Radiology, Nuclear Medicine and Imaging (695 citations) and Genetics (191 citations). Leonard Sunwoo has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jong Chul Ye, Yoseob Han, Jae Hyoung Kim, Byung Se Choi, Yun Jung Bae, Se Jin Cho, Cheolkyu Jung, Sung Hyun Baik, Kyong Joon Lee and Roh‐Eul Yoo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

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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