Ga Jin Seo

10 total papers · 665 total citations
6 papers, 375 citations indexed

About

Ga Jin Seo is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ga Jin Seo has authored 6 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Anesthesiology and Pain Medicine and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ga Jin Seo's work include Respiratory Support and Mechanisms (5 papers), Airway Management and Intubation Techniques (4 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Ga Jin Seo is often cited by papers focused on Respiratory Support and Mechanisms (5 papers), Airway Management and Intubation Techniques (4 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Ga Jin Seo collaborates with scholars based in South Korea. Ga Jin Seo's co-authors include Younsuck Koh, Eun Young Kim, Hee Jung Suh, Jin Won Huh, Chae‐Man Lim, Sang‐Bum Hong, Seunghee Baek, Byung Ju Kang, Eun Young Kim and Sung-Soon Lee and has published in prestigious journals such as Critical Care Medicine, Intensive Care Medicine and Frontiers in Medicine.

In The Last Decade

Ga Jin Seo

6 papers receiving 362 citations

Hit Papers

Failure of high-flow nasa... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ga Jin Seo 348 150 129 107 64 6 375
Eun Young Kim 350 1.0× 149 1.0× 128 1.0× 107 1.0× 65 1.0× 7 390
David Granton 315 0.9× 117 0.8× 144 1.1× 86 0.8× 36 0.6× 8 370
Lintong Zhou 321 0.9× 158 1.1× 86 0.7× 120 1.1× 49 0.8× 9 361
Davide Eleuteri 325 0.9× 151 1.0× 97 0.8× 120 1.1× 32 0.5× 11 368
Immaculada Vallverdú 349 1.0× 140 0.9× 84 0.7× 167 1.6× 56 0.9× 8 403
Sophie Cayot-Constantin 264 0.8× 108 0.7× 64 0.5× 118 1.1× 104 1.6× 12 390
Jean Marie Forel 203 0.6× 176 1.2× 61 0.5× 104 1.0× 80 1.3× 5 353
K. Nourdine 288 0.8× 200 1.3× 73 0.6× 88 0.8× 57 0.9× 6 347
Nattakarn Praphruetkit 281 0.8× 84 0.6× 134 1.0× 88 0.8× 32 0.5× 13 333
Lluís Blanch 314 0.9× 128 0.9× 54 0.4× 89 0.8× 68 1.1× 14 365

Countries citing papers authored by Ga Jin Seo

Since Specialization
Citations

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

Fields of papers citing papers by Ga Jin Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ga Jin Seo. 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 Ga Jin Seo. The network helps show where Ga Jin Seo may publish in the future.

Co-authorship network of co-authors of Ga Jin Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Ga Jin Seo. A scholar is included among the top collaborators of Ga Jin Seo 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 Ga Jin Seo. Ga Jin Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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