N. Dobashi

493 citations
15 papers · 378 · h-index 9

Impact in

    • Mycobacterium research and diagnosis
    • Inflammatory Myopathies and Dermatomyositis
    • Infectious Diseases and Mycology

Papers in

N. Dobashi

15 papers receiving 370 citations

Peers

N. Dobashi
Comparison fields: 5 of 40
  • Epidemiology 181
  • Small Animals 42
  • Pulmonary and Respiratory Medicine 165
  • Rheumatology 66
  • Microbiology 3
Replace Yuichiro Nei with:
Yuichiro Nei Japan
Reji Koshy Thomas India
Hae‐Seong Nam South Korea
R. Alam United States
Brad J. Davis United States
Maura M. Bacchi Brazil
Ryuji Ieki Japan
K. Delavigne France
Shunji Kaise Japan
L. Dreyer South Africa
N. Dobashi relative to Yuichiro Nei Japan Yuichiro Nei's profile →
Citations per field
00.5×4.3×
Yuichiro Nei · 1×
Citations per year

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-authors

The 25 scholars most cited alongside N. Dobashi, 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 N. Dobashi Line = papers co-authored together N. Dobashi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1999107
2 200055
3 200150
4 199933
5 199932
6 199827
7 200123
8
Elevation of cytokeratin 19 fragment in patients with interstitial pneumonia associated with polymyositis/dermatomyositis.
199917
9 199913
10 19998
11 20007
12 19993
13 20251
14 20251
15
[Thymic scintigraphy using 201Tl-chloride (author's transl)].
19801

About N. Dobashi

N. Dobashi is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Cell Biology, Epidemiology and Oncology, having authored 15 papers that have together received 378 indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Skin and Cellular Biology Research (4 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Tuberculosis Research and Epidemiology (1 paper), Liver Diseases and Immunity (1 paper), Mycobacterium research and diagnosis (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Epidemiology (181 citations), Small Animals (42 citations), Pulmonary and Respiratory Medicine (165 citations), Rheumatology (66 citations) and Microbiology (3 citations). N. Dobashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jiro Fujita, J Takahara, Y Ohtsuki, Ichiro Yamadori, Takeo Yoshinouchi, Tadashi Kamei, Satoko Hojo, Shuji Bandoh, M Tokuda and Hiroyuki Miyawaki. Their work appears in journals such as European Respiratory Journal, Lara D. Veeken, Lung, Respiratory Medicine and Clinical & Experimental Immunology.

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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