Seigo Kitada

77 papers receiving 1.4k citations

Peers

Seigo Kitada
Comparison fields: 5 of 86
  • Small Animals 241
  • Infectious Diseases 504
  • Epidemiology 888
  • Complementary and alternative medicine 93
  • Endocrine and Autonomic Systems 71
Replace Takako Murayama with:
Takako Murayama Japan
Cilmery Suemi Kurokawa Brazil
İhsan Hakkı Çiftçi Türkiye
Angelos Pefanis Greece
R H Hunt Canada
N Moon United States
Hitoshi Tajiri Japan
Yoshihisa Urita Japan
Harry Acquatella Venezuela
Andrea Restrepo Colombia
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Citations per field
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Citations per year

Countries citing papers authored by Seigo Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Seigo Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seigo Kitada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seigo Kitada Line = papers co-authored together Seigo Kitada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 200797
3 200787
4 200261
5 200557
6 201255
7 200354
8 200949
9
Mycobacterium avium complex organisms predominantly colonize in the bathtub inlets of patients' bathrooms.
200948
10 200543
11 200439
12 201239
13 200835
14 201532
15 202029
16 201527
17 200724
18 201923
19 201623
20 201521

About Seigo Kitada

Seigo Kitada is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery and Small Animals, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (41 papers), Tuberculosis Research and Epidemiology (22 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers), Infectious Diseases and Mycology (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Cardiovascular and exercise physiology (6 papers), Respiratory Support and Mechanisms (5 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Small Animals (241 citations), Infectious Diseases (504 citations), Epidemiology (888 citations), Complementary and alternative medicine (93 citations) and Endocrine and Autonomic Systems (71 citations). Seigo Kitada has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Ryoji Maekura, Mari Miki, Kenji Yoshimura, Yoshitaka Tateishi, Toru Hiraga, Keisuke Miki, Masami Ito, Kazuo Kobayashi, Yukiko Nishiuchi and Masahide Mori. Their work appears in journals such as European Respiratory Journal, International Journal of COPD, Journal of Clinical Microbiology, Microbiology Spectrum and BMC Pulmonary Medicine.

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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