Jun-ichi Kadota

793 citations
22 papers · 548 indexed · h-index 12
Topics
Pneumonia and Respiratory Infections (6 papers)Respiratory viral infections research (4 papers)Influenza Virus Research Studies (3 papers)
Partner nations
JapanSouth KoreaTaiwan

In The Last Decade

Jun-ichi Kadota

21 papers receiving 535 citations

Peers

Jun-ichi Kadota
Comparison fields: 5 of 73
  • Epidemiology 289
  • Infectious Diseases 135
  • Pulmonary and Respiratory Medicine 102
  • Molecular Biology 83
  • Immunology 81
Replace Ekkehard Siegel with:
Ekkehard Siegel Germany
Carl B. Lauter United States
Paul McWhinney United Kingdom
Colin G. Fink United Kingdom
Julio C. Melo United States
Güher Göral Türkiye
Hideomi Asanuma Japan
N. Kaabia Tunisia
Daire O’Shea Canada
R Enzensberger Germany
Jun-ichi Kadota relative to Ekkehard Siegel Germany Ekkehard Siegel's profile →
Citations per field
00.5×3.1×
Ekkehard Siegel · 1×
Citations per year

Countries citing papers authored by Jun-ichi Kadota

Since Specialization
Citations

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

Fields of papers citing papers by Jun-ichi Kadota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-ichi Kadota. 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 Jun-ichi Kadota. The network helps show where Jun-ichi Kadota may publish in the future.

Co-authorship network of co-authors of Jun-ichi Kadota

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-ichi Kadota. A scholar is included among the top collaborators of Jun-ichi Kadota 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 Jun-ichi Kadota. Jun-ichi Kadota 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 6
2 2
3 14
4 11
5 70
6 20
7 54
8 18
9 26
10 97
11 73
12 10
13 89
14 23
15
[Evaluation of CYFRA 21-1 and ProGRP in serum and bronchoalveolar lavage fluid of patients with benign lung disease].
1
16 6
17 3
18
[Epidemiology of HTLV-I carriers in Hirado Island and virological and immunological investigation of HTLV-I associated pulmonary disease].
4
19 2
20 2

About Jun-ichi Kadota

Jun-ichi Kadota is a scholar working on Epidemiology, Infectious Diseases and Microbiology, having authored 22 papers that have together received 548 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (6 papers), Respiratory viral infections research (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Epidemiology (289 citations), Infectious Diseases (135 citations) and Clinical Biochemistry (34 citations). Jun-ichi Kadota has collaborated with scholars based in Japan, South Korea and Taiwan. Frequent co-authors include Shigeru Kohno, Hiroshi Mukae, Hee Jin Cheong, Jingoro Shimada, Hiroshi Kida, Nobuo Hirotsu, Muh‐Yong Yen, Tadashi Ishida, Masashi Mizuguchi and Jiro Fujita. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026