Daisuke Ichikawa

2.3k total citations
113 papers, 1.4k citations indexed

About

Daisuke Ichikawa is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Daisuke Ichikawa has authored 113 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 28 papers in Molecular Biology and 27 papers in Surgery. Recurrent topics in Daisuke Ichikawa's work include Gastric Cancer Management and Outcomes (16 papers), Renal Diseases and Glomerulopathies (15 papers) and Metastasis and carcinoma case studies (11 papers). Daisuke Ichikawa is often cited by papers focused on Gastric Cancer Management and Outcomes (16 papers), Renal Diseases and Glomerulopathies (15 papers) and Metastasis and carcinoma case studies (11 papers). Daisuke Ichikawa collaborates with scholars based in Japan, United States and Netherlands. Daisuke Ichikawa's co-authors include Taro Ueno, Yugo Shibagaki, Atsuko Kamijo‐Ikemori, Yoshikazu Iwasawa, Kenjiro Kimura, Takeshi Sugaya, Hiroshi Ōyama, Seiko Hoshino, Hisashi Ohta and Satoshi Ozaki and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Daisuke Ichikawa

103 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Ichikawa Japan 20 417 221 220 219 203 113 1.4k
Ji Zhang China 20 216 0.5× 23 0.1× 63 0.3× 314 1.4× 49 0.2× 79 1.4k
Tao Fan United States 19 662 1.6× 200 0.9× 22 0.1× 54 0.2× 45 0.2× 41 1.9k
Sheng‐Tang Wu Taiwan 20 398 1.0× 23 0.1× 34 0.2× 219 1.0× 270 1.3× 118 1.6k
Xiaoli Cui China 20 541 1.3× 16 0.1× 73 0.3× 251 1.1× 54 0.3× 89 1.6k
Eoin McKinney United Kingdom 24 615 1.5× 89 0.4× 56 0.3× 361 1.6× 26 0.1× 40 2.6k
Grace Park United States 19 653 1.6× 141 0.6× 18 0.1× 95 0.4× 38 0.2× 61 1.6k
Lihua Duan China 25 599 1.4× 68 0.3× 156 0.7× 68 0.3× 11 0.1× 89 1.8k
Minmin Zhang China 21 573 1.4× 235 1.1× 83 0.4× 119 0.5× 9 0.0× 95 1.5k
James Brian Byrd United States 25 300 0.7× 26 0.1× 32 0.1× 107 0.5× 36 0.2× 59 1.9k
Ningyu Chen China 16 1.4k 3.3× 21 0.1× 25 0.1× 52 0.2× 141 0.7× 28 2.2k

Countries citing papers authored by Daisuke Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Ichikawa

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

All Works

20 of 20 papers shown
2.
Yamamoto, Kazuyoshi, Satoshi Hattori, Takeshi Omori, et al.. (2025). Defining Low Muscle Mass in Cancer Patients: Sex-Specific Computed Tomography-Derived Cutoff Values and Survival Impact—A Multicenter Cohort Study. Annals of Surgical Oncology. 32(12). 9014–9021.
3.
4.
Shoda, Katsutoshi, Yudai Higuchi, Takashi Nakayama, et al.. (2024). Enhancing Preoperative Diagnosis Accuracy of Stage III Gastric Cancer with Circulating circRNAs. Annals of Surgical Oncology. 32(1). 333–341.
5.
Ogura, Yuji, Daisuke Ichikawa, Takeshi Sugaya, et al.. (2023). Mechanism for exercise-mediated prevention against muscle wasting on extensor digitorum longus muscle in Spontaneously Diabetic Torii fatty rats. The Journal of Physiological Sciences. 73(1). 5–5. 1 indexed citations
6.
Shirai, Sayuri, Takashi Yasuda, Hiroo Kumagai, et al.. (2023). Prognostic factors of IgA nephropathy presenting with mild proteinuria at the time of diagnosis (a multicenter cohort study). Clinical and Experimental Nephrology. 27(4). 340–348. 5 indexed citations
7.
Goto, Shunsuke, Hideyo Oguchi, Ken Sakai, et al.. (2022). Association between expanded criteria for living kidney donors and renal biopsy findings. Journal of Nephrology. 35(7). 1809–1818. 1 indexed citations
8.
Ogura, Yuji, Takeshi Sugaya, Keiichi Ohata, et al.. (2021). Effect of GLP-1 receptor agonist, liraglutide, on muscle in spontaneously diabetic torii fatty rats. Molecular and Cellular Endocrinology. 539. 111472–111472. 17 indexed citations
9.
Ichikawa, Daisuke, et al.. (2021). Spontaneous remission in adult patients with IgA nephropathy treated with conservative therapy. PLoS ONE. 16(5). e0251294–e0251294. 2 indexed citations
10.
Fujita, Yoko, Daisuke Ichikawa, Takeshi Sugaya, et al.. (2021). Angiotensin II type 1a receptor loss ameliorates chronic tubulointerstitial damage after renal ischemia reperfusion. Scientific Reports. 11(1). 982–982. 3 indexed citations
11.
Ogura, Yuji, Yoshio Nagai, Takeshi Sugaya, et al.. (2021). Renoprotective effect of GLP-1 receptor agonist, liraglutide, in early-phase diabetic kidney disease in spontaneously diabetic Torii fatty rats. Clinical and Experimental Nephrology. 25(4). 365–375. 26 indexed citations
12.
Kono, Hiroshi, Naohiro Hosomura, Hidetake Amemiya, et al.. (2021). Cytoglobin as a Prognostic Factor for Pancreatic Ductal Adenocarcinoma. Pancreas. 50(7). 994–999.
14.
Shimoda, Akihiro, Daisuke Ichikawa, & Hiroshi Ōyama. (2018). Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme. Computer Methods and Programs in Biomedicine. 163. 39–46. 19 indexed citations
15.
Ichikawa, Daisuke, et al.. (2017). Tamper-Resistant Mobile Health Using Blockchain Technology. JMIR mhealth and uhealth. 5(7). e111–e111. 169 indexed citations
16.
Hanaoka, Hironari, Yukiko Takakuwa, Takahiro Okazaki, et al.. (2017). Comparison of renal response to four different induction therapies in Japanese patients with lupus nephritis class III or IV: A single-centre retrospective study. PLoS ONE. 12(4). e0175152–e0175152. 19 indexed citations
17.
Shoda, Katsutoshi, Shuhei Komatsu, Daisuke Ichikawa, et al.. (2015). [Thrombocytosis Associated with Poor Prognosis in Patients with Gastric Cancer].. PubMed. 42(12). 1980–2. 10 indexed citations
18.
Kikuchi, Shojiro, Toshiya Ochiai, Hisashi Ikoma, et al.. (2008). Attenuated response to liver injury in moesin-deficient mice: Impaired stellate cell migration and decreased fibrosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1782(9). 542–548. 37 indexed citations
19.
Ozaki, Satoshi, Hiroshi Kawamoto, Yoshiki Itoh, et al.. (2000). In vitro and in vivo pharmacological characterization of J-113397, a potent and selective non-peptidyl ORL1 receptor antagonist. European Journal of Pharmacology. 402(1-2). 45–53. 146 indexed citations
20.

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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