Seigo Kitada

1.9k citations
79 papers · 1.4k indexed · h-index 21

Impact in

Papers in

Seigo Kitada

77 papers receiving 1.3k citations

Peers

Seigo Kitada
Comparison fields: 5 of 94
  • Small Animals 320
  • Infectious Diseases 642
  • Epidemiology 883
  • Complementary and alternative medicine 130
  • Endocrine and Autonomic Systems 73
Replace Yuka Sasaki with:
Yuka Sasaki Japan
Takako Murayama Japan
Yoshihisa Urita Japan
Hitoshi Tajiri Japan
Cilmery Suemi Kurokawa Brazil
Jodie L. Simpson Australia
Arlene Taylor United States
W. Grant Guilford New Zealand
Doron Boltin Israel
Harry Acquatella Venezuela
Seigo Kitada relative to Yuka Sasaki Japan Yuka Sasaki's profile →
Citations per field
00.5×10×13×
Yuka Sasaki · 1×
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-authorship network

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
#Work
1 20244
2 20220
3 202118
4 202012
5 20202
6
Clinical Effects Of Acupuncture On The Pathophysiological Mechanism Of Chronic Obstructive Pulmonary Disease During Exercise
20191
7 201912
8 20187
9 20182
10 201712
11 201531
12 201524
13 20131
14 201297
15 20111
16 200946
17 200831
18 200780
19 20048
20 200352

About Seigo Kitada

Seigo Kitada is a scholar working on Microbiology, Small Animals, Infectious Diseases, Complementary and alternative medicine and Epidemiology, 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 (30 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Infectious Diseases and Mycology (13 papers), Cardiovascular and exercise physiology (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Respiratory Support and Mechanisms (8 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Small Animals (320 citations), Infectious Diseases (642 citations), Epidemiology (883 citations), Complementary and alternative medicine (130 citations) and Endocrine and Autonomic Systems (73 citations). Seigo Kitada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Ryoji Maekura, Mari Miki, Kenji Yoshimura, Yoshitaka Tateishi, Toru Hiraga, Keisuke Miki, Kazuo Kobayashi, Masami Ito, Yukiko Nishiuchi and Masahide Mori. Their work appears in journals such as European Respiratory Journal, International Journal of COPD, BMC Pulmonary Medicine, Microbiology Spectrum and Journal of Clinical Microbiology.

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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