Kazutaka Takami

1.0k total citations
14 papers, 813 citations indexed

About

Kazutaka Takami is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Genetics. According to data from OpenAlex, Kazutaka Takami has authored 14 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 4 papers in Physiology and 2 papers in Genetics. Recurrent topics in Kazutaka Takami's work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Respiratory Support and Mechanisms (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Kazutaka Takami is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Respiratory Support and Mechanisms (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Kazutaka Takami collaborates with scholars based in Japan, Ireland and Pakistan. Kazutaka Takami's co-authors include Hajime Takizawa, Takayuki Ohtoshi, Mitsuru Tanaka, Takahide Nagase, Yasuhiro Yamauchi, Kazuhiko Nakahara, Koji Ito, Fumihiro Yamasawa, Akira Umeda and Yasumasa Okada and has published in prestigious journals such as The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Kazutaka Takami

14 papers receiving 790 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazutaka Takami Japan 11 465 223 157 94 85 14 813
Rahul Y. Mahida United Kingdom 12 314 0.7× 201 0.9× 191 1.2× 76 0.8× 120 1.4× 26 810
S. Carnevali Italy 17 436 0.9× 391 1.8× 192 1.2× 77 0.8× 110 1.3× 27 957
Amanda Iglesias Spain 15 452 1.0× 276 1.2× 148 0.9× 40 0.4× 116 1.4× 40 760
R.J. Sapsford United Kingdom 13 340 0.7× 368 1.7× 103 0.7× 40 0.4× 153 1.8× 20 1.0k
Masamichi Sato Japan 15 288 0.6× 115 0.5× 90 0.6× 48 0.5× 55 0.6× 68 663
Thomas H. Acciani United States 12 274 0.6× 296 1.3× 153 1.0× 58 0.6× 253 3.0× 13 938
Geert R. Van Pottelberge Belgium 10 383 0.8× 196 0.9× 259 1.6× 24 0.3× 215 2.5× 10 784
Androniki Kollintza Greece 17 559 1.2× 167 0.7× 153 1.0× 93 1.0× 124 1.5× 24 1.0k
Alessandro Radaeli Italy 19 582 1.3× 429 1.9× 106 0.7× 38 0.4× 162 1.9× 45 955
Yongchang Sun China 15 264 0.6× 105 0.5× 108 0.7× 33 0.4× 79 0.9× 54 537

Countries citing papers authored by Kazutaka Takami

Since Specialization
Citations

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

Fields of papers citing papers by Kazutaka Takami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutaka Takami

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Takami. A scholar is included among the top collaborators of Kazutaka Takami 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 Kazutaka Takami. Kazutaka Takami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kage, Hidenori, Yasushi Goto, Yosuke Amano, et al.. (2016). Development of Pulmonary Artery Aneurysms Due to Behçet's Disease and Resolution after Treatment. Internal Medicine. 55(22). 3337–3340. 7 indexed citations
2.
Yamauchi, Yasuhiro, Hideo Yasunaga, Hiroki Matsui, et al.. (2015). Comparison of in‐hospital mortality in patients with COPD , asthma and asthma– COPD overlap exacerbations. Respirology. 20(6). 940–946. 44 indexed citations
3.
Yamauchi, Yasuhiro, Hideo Yasunaga, Hiroki Matsui, et al.. (2015). Comparison of clinical characteristics and outcomes between aspiration pneumonia and community-acquired pneumonia in patients with chronic obstructive pulmonary disease. BMC Pulmonary Medicine. 15(1). 69–69. 18 indexed citations
4.
Hasegawa, Wakae, Yasuhiro Yamauchi, Hideo Yasunaga, et al.. (2014). Factors affecting mortality following emergency admission for chronic obstructive pulmonary disease. BMC Pulmonary Medicine. 14(1). 151–151. 48 indexed citations
5.
Yamauchi, Yasuhiro, Wakae Hasegawa, Hideo Yasunaga, et al.. (2014). Paradoxical association between body mass index and in-hospital mortality in elderly patients with chronic obstructive pulmonary disease in Japan. International Journal of COPD. 9. 1337–1337. 80 indexed citations
6.
Hasegawa, Wakae, Yasuhiro Yamauchi, Hideo Yasunaga, et al.. (2014). Clinical features of 280 hospitalized patients with lymphangioleiomyomatosis in Japan. Respirology. 20(1). 160–165. 6 indexed citations
7.
Shornick, Laurie P., Audrey G. Wells, Yong Zhang, et al.. (2011). Corrections: Airway Epithelial versus Immune Cell Stat1 Function for Innate Defense against Respiratory Viral Infection. The Journal of Immunology. 187(5). 2834–2834. 1 indexed citations
8.
Yamauchi, Yasuhiro, Shin Kawasaki, Kazutaka Takami, et al.. (2010). Simultaneous Stimulation with TGF-β1 and TNF-α Induces Epithelial Mesenchymal Transition in Bronchial Epithelial Cells. International Archives of Allergy and Immunology. 155(2). 119–128. 68 indexed citations
9.
Yamauchi, Yasuhiro, Tadashi Kohyama, Hajime Takizawa, et al.. (2010). Tumor necrosis factor-α enhances both epithelial-mesenchymal transition and cell contraction induced in A549 human alveolar epithelial cells by transforming growth factor-β1. Experimental Lung Research. 36(1). 12–24. 62 indexed citations
10.
Kohyama, Tadashi, Yasuhiro Yamauchi, Jun‐ya Kato, et al.. (2009). C-REACTIVE PROTEIN MODULATES HUMAN LUNG FIBROBLAST MIGRATION. Experimental Lung Research. 35(1). 48–58. 10 indexed citations
11.
Takami, Kazutaka, Noriko Takuwa, Hitoshi Okazaki, et al.. (2002). Interferon- γ Inhibits Hepatocyte Growth Factor-Stimulated Cell Proliferation of Human Bronchial Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 26(2). 231–238. 25 indexed citations
12.
Takizawa, Hajime, Mitsuru Tanaka, Kazutaka Takami, et al.. (2001). Increased Expression of Transforming Growth Factor- β 1 in Small Airway Epithelium from Tobacco Smokers and Patients with Chronic Obstructive Pulmonary Disease (COPD). American Journal of Respiratory and Critical Care Medicine. 163(6). 1476–1483. 289 indexed citations
13.
Kawasaki, Shin, Hajime Takizawa, Kazutaka Takami, et al.. (2001). Benzene-Extracted Components Are Important for the Major Activity of Diesel Exhaust Particles: Effect on Interleukin-8 Gene Expression in Human Bronchial Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 24(4). 419–426. 86 indexed citations
14.
Takizawa, Hajime, Mitsuru Tanaka, Kazutaka Takami, et al.. (2000). Increased expression of inflammatory mediators in small-airway epithelium from tobacco smokers. American Journal of Physiology-Lung Cellular and Molecular Physiology. 278(5). L906–L913. 69 indexed citations

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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