Song Soo Kim

1.2k citations
46 papers · 582 indexed · h-index 13
Topics
Cardiac Imaging and Diagnostics (9 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers)Lung Cancer Diagnosis and Treatment (8 papers)
Journals
SHILAP Revista de lepidopterologíaRadiologyAmerican Journal of Roentgenology

In The Last Decade

Song Soo Kim

40 papers receiving 570 citations

Peers

Song Soo Kim
Comparison fields: 5 of 67
  • Pulmonary and Respiratory Medicine 378
  • Radiology, Nuclear Medicine and Imaging 151
  • Surgery 84
  • Cardiology and Cardiovascular Medicine 73
  • Biomedical Engineering 71
Replace Satoru Morita with:
Satoru Morita Japan
Ke Lv China
J. Mayo United States
Frank Pilleul France
Cesare Mantini Italy
L Battolla Italy
Niall Phelan Ireland
Ali Farooqi United States
Nitin Barman United States
Luca Camoni Italy
Song Soo Kim relative to Satoru Morita Japan Satoru Morita's profile →
Citations per field
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Citations per year

Countries citing papers authored by Song Soo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Song Soo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Soo Kim. 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 Song Soo Kim. The network helps show where Song Soo Kim may publish in the future.

Co-authorship network of co-authors of Song Soo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Song Soo Kim. A scholar is included among the top collaborators of Song Soo Kim 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 Song Soo Kim. Song Soo Kim 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 1
2 5
3 2
4 0
5 1
6 5
7 18
8 6
9 75
10 44
11 5
12 8
13 10
14 12
15 4
16 2
17 32
18 25
19 59
20 36

About Song Soo Kim

Song Soo Kim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 582 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (378 citations), Radiology, Nuclear Medicine and Imaging (151 citations) and Cardiology and Cardiovascular Medicine (73 citations). Song Soo Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joon Beom Seo, David A. Lynch, Joyce Schroeder, Jordan Zach, Atsushi Nambu, Russell P. Bowler, Namkug Kim, Christina Schnell, Young Ju Lee and Sung Min Ko. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.

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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