Daisuke Takekoshi

479 citations
18 papers · 256 · h-index 8

Impact in

    • Asthma and respiratory diseases
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Respiratory and Cough-Related Research
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Respiratory Support and Mechanisms

Papers in

Daisuke Takekoshi

18 papers receiving 254 citations

Peers

Daisuke Takekoshi
Comparison fields: 5 of 48
  • Physiology 91
  • Pulmonary and Respiratory Medicine 111
  • Immunology and Allergy 9
  • Virology 6
  • Otorhinolaryngology 5
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Takekoshi

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Takekoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201566
2 201243
3
Real-World Effectiveness of Dupilumab for Patients with Severe Asthma: A Retrospective Study
202233
4 202127
5 201016
6 202016
7 201514
8 201512
9 20087
10 20166
11 20125
12 20233
13 20212
14 20232
15 20121
16 20211
17 20231
18 20201

About Daisuke Takekoshi

Daisuke Takekoshi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Physiology, having authored 18 papers that have together received 256 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Eosinophilic Esophagitis (2 papers), Mycobacterium research and diagnosis (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Heat shock proteins research (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Physiology (91 citations), Pulmonary and Respiratory Medicine (111 citations), Immunology and Allergy (9 citations), Virology (6 citations) and Otorhinolaryngology (5 citations). Daisuke Takekoshi has collaborated with scholars based in Japan and United States. Frequent co-authors include Jun Araya, Kazuyoshi Kuwano, Kazuto Matsunaga, Keiji Kimura, T Takahashi, Ken Ohta, Takanori Numata, Toshiaki Kikuchi, Mitsuo Hashimoto and Hiromichi Hara. Their work appears in journals such as International Journal of COPD, Journal of Lipid Research, CHEST Journal, Cancer Immunology Immunotherapy and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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