Tadashi Kohyama

3.6k citations
76 papers · 3.1k indexed · h-index 34

Tadashi Kohyama

76 papers receiving 3.0k citations

Peers

Tadashi Kohyama
Comparison fields: 5 of 123
  • Pulmonary and Respiratory Medicine 1.1k
  • Health, Toxicology and Mutagenesis 378
  • Cancer Research 358
  • Immunology and Allergy 144
  • Physiology 616
Replace Shin Kawasaki with:
Shin Kawasaki Japan
Tsuyoshi Kasama Japan
Xiangde Liu United States
C. Magnus Sköld Sweden
Anthony Kicic Australia
Tetsu Kobayashi Japan
Frank Antonicelli France
Marion Frankenberger Germany
Veena B. Antony United States
Tania Maes Belgium
Tadashi Kohyama relative to Shin Kawasaki Japan Shin Kawasaki's profile →
Citations per field
00.5×1.5×1.8×
Shin Kawasaki · 1×
Citations per year

Countries citing papers authored by Tadashi Kohyama

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Kohyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201421
3 201418
4 201276
5 201025
6 2009112
7 200928
8 20097
9 200910
10 200812
11 200859
12 20089
13 20027
14 200228
15 200239
16 200123
17 199919
18 199847
19 1997187
20 199721

About Tadashi Kohyama

Tadashi Kohyama is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Health, Toxicology and Mutagenesis, having authored 76 papers that have together received 3.1k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (17 papers), Asthma and respiratory diseases (17 papers), Neonatal Respiratory Health Research (14 papers), TGF-β signaling in diseases (11 papers), Air Quality and Health Impacts (10 papers), Protease and Inhibitor Mechanisms (10 papers), Peptidase Inhibition and Analysis (9 papers) and Proteoglycans and glycosaminoglycans research (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Health, Toxicology and Mutagenesis (378 citations) and Cancer Research (358 citations). Tadashi Kohyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Stephen I. Rennard, Xiangde Liu, Fuqiang Wen, Hajime Takizawa, Shin Kawasaki, Tetsu Kobayashi, Debra J. Romberger, Hangjun Wang, Masashi Desaki and Takahide Nagase. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Biochemical and Biophysical Research Communications, Clinical Immunology and Experimental Lung Research.

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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