N. Dobashi

487 total citations
15 papers, 376 citations indexed

About

N. Dobashi is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Epidemiology. According to data from OpenAlex, N. Dobashi has authored 15 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Rheumatology and 5 papers in Epidemiology. Recurrent topics in N. Dobashi's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Eosinophilic Disorders and Syndromes (6 papers) and Skin and Cellular Biology Research (4 papers). N. Dobashi is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Eosinophilic Disorders and Syndromes (6 papers) and Skin and Cellular Biology Research (4 papers). N. Dobashi collaborates with scholars based in Japan, United Kingdom and United States. N. Dobashi's co-authors include Jiro Fujita, J Takahara, Y Ohtsuki, Ichiro Yamadori, Takeo Yoshinouchi, Tadashi Kamei, Shuji Bandoh, Satoko Hojo, M Tokuda and Eriko Shigeto and has published in prestigious journals such as British Journal of Cancer, Annals of the Rheumatic Diseases and European Respiratory Journal.

In The Last Decade

N. Dobashi

14 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Dobashi Japan 9 196 193 81 73 53 15 376
Shunji Kaise Japan 11 83 0.4× 126 0.7× 120 1.5× 50 0.7× 7 0.1× 22 351
J Baró Spain 11 41 0.2× 79 0.4× 20 0.2× 75 1.0× 22 0.4× 30 366
R. Alam United States 10 100 0.5× 164 0.8× 41 0.5× 55 0.8× 11 0.2× 16 503
Reji Koshy Thomas India 8 81 0.4× 80 0.4× 18 0.2× 140 1.9× 26 0.5× 12 353
Margaret A. Nuovo United States 8 33 0.2× 81 0.4× 45 0.6× 46 0.6× 5 0.1× 18 296
Jean Brune France 7 405 2.1× 134 0.7× 29 0.4× 13 0.2× 5 0.1× 7 521
Enrique Herrera‐Acosta Spain 12 31 0.2× 172 0.9× 24 0.3× 26 0.4× 8 0.2× 40 352
E Oksenhendler France 3 85 0.4× 116 0.6× 16 0.2× 44 0.6× 4 0.1× 5 477
F. Hughes United States 10 97 0.5× 68 0.4× 9 0.1× 98 1.3× 40 0.8× 15 313
O. T. Cheung United States 7 23 0.1× 156 0.8× 36 0.4× 96 1.3× 46 0.9× 14 332

Countries citing papers authored by N. Dobashi

Since Specialization
Citations

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

Fields of papers citing papers by N. Dobashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Dobashi

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

All Works

15 of 15 papers shown
1.
2.
Sada, Ken‐ei, N. Dobashi, Sho Sasaki, et al.. (2025). Association of physicians’ Big Five personality traits with shared decision-making in patients with SLE. Lara D. Veeken. 64(10). 5269–5276.
3.
Fujita, Jiro, M Tokuda, Shuji Bandoh, et al.. (2001). Primary lung cancer associated with polymyositis/dermatomyositis, with a review of the literature. Rheumatology International. 20(2). 81–84. 50 indexed citations
4.
Murota, Makiko, Mikio Nishioka, Jiro Fujita, et al.. (2001). Anti-cytokeratin antibodies in sera of the patients with autoimmune hepatitis. Clinical & Experimental Immunology. 125(2). 291–299. 23 indexed citations
5.
6.
Fujita, Jiro, Shuji Bandoh, Y Ohtsuki, et al.. (2000). The role of anti-epithelial cell antibodies in the pathogenesis of bilateral radiation pneumonitis caused by unilateral thoracic irradiation. Respiratory Medicine. 94(9). 875–880. 7 indexed citations
7.
8.
9.
Fujita, Jiro, Tohru Takeuchi, N. Dobashi, et al.. (1999). Detection of anti-ADAM 10 antibody in serum of a patient with pulmonary fibrosis associated with dermatomyositis. Annals of the Rheumatic Diseases. 58(12). 770–772. 13 indexed citations
10.
Dobashi, N., Jiro Fujita, Y Ohtsuki, et al.. (1999). Elevated serum and BAL cytokeratin 19 fragment in pulmonary fibrosis and acute interstitial pneumonia. European Respiratory Journal. 14(3). 574–574. 32 indexed citations
11.
Fujita, Jiro, Y Ohtsuki, Ichizo Suemitsu, et al.. (1999). Pathological and radiological changes in resected lung specimens in Mycobacterium avium intracellulare complex disease. European Respiratory Journal. 13(3). 535–540. 107 indexed citations
12.
Fujita, Jiro, N. Dobashi, Y Ohtsuki, et al.. (1999). Detection of large molecular weight cytokeratin 8 as carrier protein of CA19–9 in non-small-cell lung cancer cell lines. British Journal of Cancer. 81(5). 769–773. 8 indexed citations
13.
Fujita, Jiro, N. Dobashi, M Tokuda, et al.. (1999). Elevation of cytokeratin 19 fragment in patients with interstitial pneumonia associated with polymyositis/dermatomyositis.. PubMed. 26(11). 2377–82. 17 indexed citations
14.
15.
Harada, Shusaku, N. Dobashi, Yûji Takahashi, et al.. (1980). [Thymic scintigraphy using 201Tl-chloride (author's transl)].. PubMed. 25(4). 499–502. 1 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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