Kodai Suzuki

1.6k total citations
51 papers, 477 citations indexed

About

Kodai Suzuki is a scholar working on Surgery, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Kodai Suzuki has authored 51 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Epidemiology and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Kodai Suzuki's work include Sepsis Diagnosis and Treatment (7 papers), Atmospheric Ozone and Climate (5 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers). Kodai Suzuki is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Atmospheric Ozone and Climate (5 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers). Kodai Suzuki collaborates with scholars based in Japan, United States and Sweden. Kodai Suzuki's co-authors include Sadaki Inokuchi, Shigeaki Inoue, Shinji Ogura, Takehito Sato, Hideshi Okada, Katsuto Hozumi, Kyoko Suzuki-Utsunomiya, Philippe Baron, Hideo Sagawa and Shozo Yoshida and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Kodai Suzuki

42 papers receiving 464 citations

Peers

Kodai Suzuki
Comparison fields: 5 of 112
  • Immunology 92
  • Epidemiology 89
  • Molecular Biology 73
  • Critical Care and Intensive Care Medicine 66
  • Surgery 57
Replace Takashi Koide with:
Takashi Koide Japan
Ruijin Liu China
Jianjie Wang China
Sang Kim United States
M. Zhang China
Jonathan D. Wells United States
Kai Heckel Germany
Vijay Gupta India
Yuhong Li China
Masaki Okuyama Japan
Takashi Koide Japan View profile →
Citations per field, relative to Kodai Suzuki
Kodai Suzuki · 1×
Citations per year, relative to Kodai Suzuki
Kodai Suzuki · 1×

Countries citing papers authored by Kodai Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Kodai Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kodai Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Kodai Suzuki. A scholar is included among the top collaborators of Kodai Suzuki 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 Kodai Suzuki. Kodai Suzuki 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 2
3 1
4 0
5 0
6 0
7 5
8 1
9 53
10 26
11 9
12 8
13 4
14 1
15 3
16 3
17 2
18 34
19
AMATERASU: Model for atmospheric TeraHertz Radiation analysis and simulation
24
20 6

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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