In‐Kyung Song

1.1k citations
72 papers · 772 indexed · h-index 14
Topics
Hemodynamic Monitoring and Therapy (15 papers)Airway Management and Intubation Techniques (14 papers)Congenital Heart Disease Studies (10 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Society of NephrologyAnesthesiology

In The Last Decade

In‐Kyung Song

71 papers receiving 765 citations

Peers

In‐Kyung Song
Comparison fields: 5 of 98
  • Surgery 286
  • Pulmonary and Respiratory Medicine 265
  • Cardiology and Cardiovascular Medicine 153
  • Anesthesiology and Pain Medicine 142
  • Critical Care and Intensive Care Medicine 123
Replace Nicola Pirozzi with:
Nicola Pirozzi Italy
Riad Lutfi United States
Maureen McCunn United States
Edward J. Truemper United States
Jan Hofland Netherlands
Bennett P. deBoisblanc United States
Evan G. Pivalizza United States
K. Skarvan Switzerland
В. В. Лихванцев Russia
A. Trouwborst Netherlands
In‐Kyung Song relative to Nicola Pirozzi Italy Nicola Pirozzi's profile →
Citations per field
00.5×2.6×
Nicola Pirozzi · 1×
Citations per year

Countries citing papers authored by In‐Kyung Song

Since Specialization
Citations

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

Fields of papers citing papers by In‐Kyung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Kyung Song. 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 In‐Kyung Song. The network helps show where In‐Kyung Song may publish in the future.

Co-authorship network of co-authors of In‐Kyung Song

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Kyung Song. A scholar is included among the top collaborators of In‐Kyung Song 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 In‐Kyung Song. In‐Kyung Song 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 1
3 9
4 4
5 8
6 11
7 19
8 5
9 16
10 2
11 3
12 18
13 13
14 3
15 18
16 5
17 1
18 70
19
Keratectasia after Laser in Situ Keratomileusis: Clinicopathologic Case Report
2
20 22

About In‐Kyung Song

In‐Kyung Song is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Developmental Neuroscience, having authored 72 papers that have together received 772 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (15 papers), Airway Management and Intubation Techniques (14 papers) and Congenital Heart Disease Studies (10 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (142 citations), Critical Care and Intensive Care Medicine (123 citations) and Emergency Medical Services (103 citations). In‐Kyung Song has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jin‐Tae Kim, Hee‐Soo Kim, Eun‐Hee Kim, Ji‐Hyun Lee, Ji‐Hyun Lee, Tae‐Hwan Kwon, Young‐Eun Jang, Choun‐Ki Joo, Jørgen Frøkiær and Søren Nielsen. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Society of Nephrology and Anesthesiology.

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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