Keibun Liu

1.9k total citations
61 papers, 579 citations indexed

About

Keibun Liu is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Radiological and Ultrasound Technology. According to data from OpenAlex, Keibun Liu has authored 61 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Critical Care and Intensive Care Medicine, 22 papers in Pulmonary and Respiratory Medicine and 17 papers in Radiological and Ultrasound Technology. Recurrent topics in Keibun Liu's work include Intensive Care Unit Cognitive Disorders (36 papers), Respiratory Support and Mechanisms (18 papers) and Family and Patient Care in Intensive Care Units (17 papers). Keibun Liu is often cited by papers focused on Intensive Care Unit Cognitive Disorders (36 papers), Respiratory Support and Mechanisms (18 papers) and Family and Patient Care in Intensive Care Units (17 papers). Keibun Liu collaborates with scholars based in Japan, Australia and United States. Keibun Liu's co-authors include Kensuke Nakamura, Hajime Katsukawa, Takayuki Ogura, Kunihiko Takahashi, Shigeaki Inoue, Osamu Nishida, Alan Kawarai Lefor, Nobuto Nakanishi, Junji Hatakeyama and Peter Nydahl and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Keibun Liu

51 papers receiving 564 citations

Peers

Keibun Liu
Comparison fields: 5 of 74
  • Critical Care and Intensive Care Medicine 350
  • Radiological and Ultrasound Technology 159
  • Pulmonary and Respiratory Medicine 145
  • Neurology 109
  • Emergency Medicine 86
Replace Junji Hatakeyama with:
Junji Hatakeyama Japan
Tatsuya Kawasaki Japan
Ilse Gradwohl-Matis Austria
Daniela Dettling-Ihnenfeldt Netherlands
Sarah E. Jolley United States
Kirby P. Mayer United States
Evelyn Corner United Kingdom
Rita N. Bakhru United States
Ashley Montgomery-Yates United States
Lisa Beach Australia
Junji Hatakeyama Japan View profile →
Citations per field, relative to Keibun Liu
Keibun Liu · 1×
Citations per year, relative to Keibun Liu
Keibun Liu · 1×

Countries citing papers authored by Keibun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Keibun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keibun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Keibun Liu. A scholar is included among the top collaborators of Keibun Liu 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 Keibun Liu. Keibun Liu 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
# Work Indexed citations
1 0
2 1
3 1
4 5
5 1
6 4
7 2
8 2
9 1
10 1
11 4
12 10
13 17
14 12
15 2
16 14
17 6
18 56
19 13
20 8

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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