Keishi Oda

1.1k total citations
36 papers, 701 citations indexed

About

Keishi Oda is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology. According to data from OpenAlex, Keishi Oda has authored 36 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 14 papers in Physiology and 8 papers in Epidemiology. Recurrent topics in Keishi Oda's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (23 papers), Sarcoidosis and Beryllium Toxicity Research (9 papers) and Occupational and environmental lung diseases (6 papers). Keishi Oda is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (23 papers), Sarcoidosis and Beryllium Toxicity Research (9 papers) and Occupational and environmental lung diseases (6 papers). Keishi Oda collaborates with scholars based in Japan, Australia and United States. Keishi Oda's co-authors include Kazuhiro Yatera, Hiroshi Mukae, Hiroshi Ishimoto, Toshinori Kawanami, Takashi Kido, Takaaki Ogoshi, Kei Yamasaki, Shingo Noguchi, Hiroyuki Nakao and Keisuke Naito and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Respiratory Medicine and Respiratory Research.

In The Last Decade

Keishi Oda

33 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keishi Oda Japan 16 536 182 139 86 66 36 701
Susana Guimarães Portugal 13 299 0.6× 109 0.6× 86 0.6× 55 0.6× 26 0.4× 73 491
Yasuhiro Gushima Japan 10 419 0.8× 69 0.4× 149 1.1× 31 0.4× 61 0.9× 13 589
Antonella Fossi Italy 13 317 0.6× 139 0.8× 66 0.5× 30 0.3× 63 1.0× 34 506
R A Helmers United States 8 866 1.6× 295 1.6× 106 0.8× 64 0.7× 28 0.4× 8 921
Yasuchika Kato Japan 14 405 0.8× 465 2.6× 71 0.5× 40 0.5× 120 1.8× 40 878
Hisako Miyakawa Japan 7 330 0.6× 58 0.3× 88 0.6× 31 0.4× 62 0.9× 10 457
Norihiro Kaneko Japan 12 256 0.5× 188 1.0× 210 1.5× 18 0.2× 126 1.9× 57 698
Christian Gurioli Italy 12 1.1k 2.0× 332 1.8× 58 0.4× 39 0.5× 15 0.2× 28 1.1k
N. Freymond France 11 177 0.3× 135 0.7× 88 0.6× 14 0.2× 78 1.2× 45 576
P. Pantelidis United Kingdom 12 866 1.6× 254 1.4× 259 1.9× 42 0.5× 101 1.5× 14 1.0k

Countries citing papers authored by Keishi Oda

Since Specialization
Citations

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

Fields of papers citing papers by Keishi Oda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keishi Oda

This figure shows the co-authorship network connecting the top 25 collaborators of Keishi Oda. A scholar is included among the top collaborators of Keishi Oda 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 Keishi Oda. Keishi Oda 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
1.
Tahara, Masahiro, Yoshihisa Fujino, Kei Yamasaki, et al.. (2021). Exposure to PM2.5 is a risk factor for acute exacerbation of surgically diagnosed idiopathic pulmonary fibrosis: a case–control study. Respiratory Research. 22(1). 80–80. 38 indexed citations
2.
Tahara, Masahiro, Keishi Oda, Kei Yamasaki, et al.. (2019). Temporal echocardiographic assessment of pulmonary hypertension in idiopathic pulmonary fibrosis patients treated with nintedanib with or without oxygen therapy. BMC Pulmonary Medicine. 19(1). 157–157. 4 indexed citations
3.
Kido, Takashi, Hiroshi Ishimoto, Keishi Oda, et al.. (2019). Radiological patterns of pulmonary involvement may predict treatment response in rheumatoid arthritis: A retrospective study. Respiratory Investigation. 57(2). 172–182. 4 indexed citations
4.
Ogoshi, Takaaki, Masato Tsutsui, Takashi Kido, et al.. (2018). Protective Role of Myelocytic Nitric Oxide Synthases against Hypoxic Pulmonary Hypertension in Mice. American Journal of Respiratory and Critical Care Medicine. 198(2). 232–244. 15 indexed citations
5.
Sakamoto, Noriho, Minoru Satoh, Hiroshi Ishimoto, et al.. (2017). Clinical characteristics of patients with anti-aminoacyl-tRNA synthetase antibody positive idiopathic interstitial pneumonia. Respiratory Medicine. 132. 189–194. 20 indexed citations
6.
Oda, Keishi, et al.. (2017). Factors Associated with a Non-histopathological Diagnosis by EBUS-TBNA in Patients with Sarcoidosis. 39(1). 11.
7.
Kido, Takashi, Yasuo Morimoto, Kazuhiro Yatera, et al.. (2017). The utility of electron microscopy in detecting asbestos fibers and particles in BALF in diffuse lung diseases. BMC Pulmonary Medicine. 17(1). 71–71. 4 indexed citations
8.
Wakamatsu, Kentaro, Nobuhiko Nagata, Hiroyuki Kumazoe, et al.. (2016). Prognostic value of serial serum KL-6 measurements in patients with idiopathic pulmonary fibrosis. Respiratory Investigation. 55(1). 16–23. 92 indexed citations
9.
Oda, Keishi, Kazuhiro Yatera, Yoshihisa Fujino, et al.. (2016). Efficacy of concurrent treatments in idiopathic pulmonary fibrosis patients with a rapid progression of respiratory failure: an analysis of a national administrative database in Japan. BMC Pulmonary Medicine. 16(1). 91–91. 28 indexed citations
10.
Oda, Keishi, Kazuhiro Yatera, Hiroto Izumi, et al.. (2016). Profibrotic role of WNT10A via TGF-β signaling in idiopathic pulmonary fibrosis. Respiratory Research. 17(1). 39–39. 35 indexed citations
11.
Kakugawa, Tomoyuki, Noriho Sakamoto, Shuntaro Sato, et al.. (2016). Risk factors for an acute exacerbation of idiopathic pulmonary fibrosis. Respiratory Research. 17(1). 79–79. 53 indexed citations
12.
Oda, Keishi, Hiroshi Ishimoto, Kazuhiro Yatera, et al.. (2014). High-resolution CT scoring system-based grading scale predicts the clinical outcomes in patients with idiopathic pulmonary fibrosis. Respiratory Research. 15(1). 10–10. 79 indexed citations
13.
Yatera, Kazuhiro, Kei Yamasaki, Chinatsu Nishida, et al.. (2014). Real-world effects of two inhaled corticosteroid/long-acting β2-agonist combinations in the treatment of asthma. Journal of Asthma. 51(7). 762–768. 1 indexed citations
14.
Noguchi, Shingo, Kazuhiro Yatera, Ke‐Yong Wang, et al.. (2014). Nitric oxide exerts protective effects against bleomycin-induced pulmonary fibrosis in mice. Respiratory Research. 15(1). 92–92. 36 indexed citations
15.
16.
Oda, Keishi, Hiroshi Ishimoto, Kazuhiro Yatera, et al.. (2014). Relationship between the ratios of CD4/CD8 T-lymphocytes in the bronchoalveolar lavage fluid and lymph nodes in patients with sarcoidosis. Respiratory Investigation. 52(3). 179–183. 19 indexed citations
17.
18.
Yamasaki, Kei, Kazuhiro Yatera, Shingo Noguchi, et al.. (2013). Incidence and outcomes of bepridil-induced interstitial pneumonia. Respiratory Medicine. 107(12). 2088–2091. 4 indexed citations
19.
20.
Ogoshi, Takaaki, Hiroshi Ishimoto, Kazuhiro Yatera, et al.. (2012). A Case of Good Syndrome with Pulmonary Lesions Similar to Diffuse Panbronchiolitis. Internal Medicine. 51(9). 1087–1091. 9 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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