Shoji Kudoh

12.9k citations
258 papers · 9.5k indexed · 2 hit papers · h-index 53

Shoji Kudoh

250 papers receiving 9.2k citations

Hit Papers

Double-blind, Placebo-controlled Trial of Pirfenidone in ...6811998202620072016200400600

Peers

Shoji Kudoh
Comparison fields: 5 of 160
  • Pulmonary and Respiratory Medicine 5.2k
  • Physiology 1.6k
  • Oncology 1.5k
  • Health, Toxicology and Mutagenesis 719
  • Cancer Research 757
Replace Arata Azuma with:
Arata Azuma Japan
Demosthenes Bouros Greece
Tomoko Betsuyaku Japan
Anders Eklúnd Sweden
B. Wallaert France
Jan Stolk Netherlands
Thomas L. Vaughan United States
Johan Grünewald Sweden
Asger Dirksen Denmark
Scott M. Palmer United States
Shoji Kudoh relative to Arata Azuma Japan Arata Azuma's profile →
Citations per field
00.5×3.8×
Arata Azuma · 1×
Citations per year

Countries citing papers authored by Shoji Kudoh

Since Specialization
Citations

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

Fields of papers citing papers by Shoji Kudoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20224
3 202023
4 2014141
5 20134
6
Historical changes in epidemiology of diffuse panbronchiolitis.
20127
7 200967
8 200881
9 2008365
10 200749
11
Double-blind, Placebo-controlled Trial of Pirfenidone in Patients with Idiopathic Pulmonary Fibrosisbreakdown →
2005681
12 200551
13 200414
14 20048
15 2000116
16 20003
17 19993
18
Improvement of Survival in Patients with Diffuse Panbronchiolitis Treated with Low-dose Erythromycinbreakdown →
1998444
19 199840
20 199536

About Shoji Kudoh

Shoji Kudoh is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Speech and Hearing, having authored 258 papers that have together received 9.5k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (84 papers), Lung Cancer Treatments and Mutations (38 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (29 papers), Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (19 papers), Lung Cancer Research Studies (19 papers), Air Quality and Health Impacts (18 papers) and Respiratory and Cough-Related Research (15 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (5.2k citations), Physiology (1.6k citations) and Oncology (1.5k citations). Shoji Kudoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Arata Azuma, Akihiko Gemma, Naoto Keicho, Masahiro Seike, Moritaka Suga, Masayuki Ando, Hajime Takizawa, Toshihiro Nukiwa, Yoshio Taguchi and Koichiro Nakata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of 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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