Song Am Lee

750 citations
54 papers · 529 indexed · h-index 14
Topics
Diagnosis and Treatment of Venous Diseases (14 papers)Venous Thromboembolism Diagnosis and Management (13 papers)Central Venous Catheters and Hemodialysis (8 papers)
Partner nations
South KoreaCanada

In The Last Decade

Song Am Lee

49 papers receiving 509 citations

Peers

Song Am Lee
Comparison fields: 5 of 69
  • Surgery 263
  • Pulmonary and Respiratory Medicine 192
  • Internal Medicine 84
  • Critical Care and Intensive Care Medicine 74
  • Cardiology and Cardiovascular Medicine 74
Replace Marcin Karcz with:
Marcin Karcz United States
Şenol Yavuz Türkiye
Maylin Koo Spain
T.S. Creasy United Kingdom
S. Yalçin Türkiye
C Mouritzen Denmark
Khaled Yassen Egypt
Peter Faybik Austria
Koray Ak Türkiye
Justin M. Carter Germany
Song Am Lee relative to Marcin Karcz United States Marcin Karcz's profile →
Citations per field
00.5×3.4×
Marcin Karcz · 1×
Citations per year

Countries citing papers authored by Song Am Lee

Since Specialization
Citations

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

Fields of papers citing papers by Song Am Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Am Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Song Am Lee. A scholar is included among the top collaborators of Song Am Lee 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 Am Lee. Song Am Lee 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 4
3 3
4 0
5 7
6 25
7 0
8 7
9 7
10 18
11 62
12 13
13 7
14 12
15 17
16 13
17 3
18 13
19 14
20 4

About Song Am Lee

Song Am Lee is a scholar working on Internal Medicine, Emergency Medical Services and Surgery, having authored 54 papers that have together received 529 indexed citations. Recurring topics across this work include Diagnosis and Treatment of Venous Diseases (14 papers), Venous Thromboembolism Diagnosis and Management (13 papers) and Central Venous Catheters and Hemodialysis (8 papers). The work is most often cited by research in Internal Medicine (84 citations), Critical Care and Intensive Care Medicine (74 citations) and Anesthesiology and Pain Medicine (72 citations). Song Am Lee has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Woo Surng Lee, Jae Joon Hwang, Jun Seok Kim, Hyun Keun Chee, Jae Bum Park, Jin Yong Kim, Sang Woo Park, Seung Hyun Lee, Ik Jin Yun and Yo Han Kim. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and BioMed Research International.

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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