Takuya Miyagawa

1.0k total citations
57 papers, 660 citations indexed

About

Takuya Miyagawa is a scholar working on Pathology and Forensic Medicine, Dermatology and Oncology. According to data from OpenAlex, Takuya Miyagawa has authored 57 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pathology and Forensic Medicine, 18 papers in Dermatology and 13 papers in Oncology. Recurrent topics in Takuya Miyagawa's work include Systemic Sclerosis and Related Diseases (21 papers), Dermatologic Treatments and Research (7 papers) and Mast cells and histamine (7 papers). Takuya Miyagawa is often cited by papers focused on Systemic Sclerosis and Related Diseases (21 papers), Dermatologic Treatments and Research (7 papers) and Mast cells and histamine (7 papers). Takuya Miyagawa collaborates with scholars based in Japan, United States and Germany. Takuya Miyagawa's co-authors include Shinichi Sato, Ayumi Yoshizaki, Yoshihide Asano, Ryosuke Saigusa, Kouki Nakamura, Martin Bornhäuser, Thomas Kurth, Jens Pietzsch, Yixin Zhang and Sandra Hauser and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Takuya Miyagawa

49 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Miyagawa Japan 13 171 127 118 118 113 57 660
Yong‐Chul Lee South Korea 18 156 0.9× 186 1.5× 56 0.5× 62 0.5× 60 0.5× 58 884
Yitian Wang China 15 172 1.0× 159 1.3× 97 0.8× 252 2.1× 184 1.6× 75 856
Jung Ho Lee South Korea 16 77 0.5× 88 0.7× 52 0.4× 60 0.5× 55 0.5× 91 829
Feng Miao China 12 163 1.0× 155 1.2× 38 0.3× 106 0.9× 109 1.0× 46 704
Mark C. Mochel United States 13 231 1.4× 174 1.4× 101 0.9× 67 0.6× 50 0.4× 39 663
Jia Zhou China 19 76 0.4× 179 1.4× 20 0.2× 48 0.4× 186 1.6× 36 853
Lenie J. van den Broek Netherlands 18 105 0.6× 199 1.6× 24 0.2× 43 0.4× 218 1.9× 25 888
Ji Soo Lee South Korea 13 51 0.3× 112 0.9× 39 0.3× 73 0.6× 136 1.2× 36 660
Zhiqiang Xue China 14 352 2.1× 210 1.7× 28 0.2× 336 2.8× 113 1.0× 60 969
Kazuo Ryoke Japan 15 344 2.0× 393 3.1× 51 0.4× 79 0.7× 102 0.9× 64 993

Countries citing papers authored by Takuya Miyagawa

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Miyagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Miyagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Miyagawa. A scholar is included among the top collaborators of Takuya Miyagawa 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 Takuya Miyagawa. Takuya Miyagawa 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
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Chovatiya, Raj, Seth Forman, Afsáneh Alavi, et al.. (2025). 61888 Bimekizumab efficacy by disease duration in moderate to severe hidradenitis suppurativa: 2-year phase 3 results from BE HEARD EXT. Journal of the American Academy of Dermatology. 93(3). AB135–AB135.
3.
Ikegami, Masachika, Takuya Miyagawa, Hiromichi Morita, et al.. (2024). Association of genetic alterations with prognosis in extramammary Paget disease: insights into the involvement of somatic CDKN2A variants in patients with a poor prognosis. British Journal of Dermatology. 192(1). 46–54. 1 indexed citations
4.
Kataoka, Yuki, et al.. (2023). A case of gangrenous cystitis with bilateral hydronephrosis 10 years after radiotherapy. Journal of General and Family Medicine. 24(3). 185–187. 1 indexed citations
5.
Miyagawa, Takuya. (2023). FOR 'CENTRES OF CALCULATIONS?’: 'COLONIAL METEOROLOGY’ IN NINETEENTH CENTURY JAPAN. Journal of Astronomical History and Heritage. 26(1). 97–112.
6.
Miyagawa, Takuya, et al.. (2022). Congenital Midline Sinus of the Upper Lip: Evaluating the Use of Ultrasonography. SHILAP Revista de lepidopterología. 3(1). e170–e170. 3 indexed citations
7.
Miyagawa, Takuya, Hiraku Suga, Tomomitsu Miyagaki, et al.. (2022). Increased expression of squamous cell carcinoma antigen 1 and 2 in mycosis fungoides and Sézary syndrome. European Journal of Dermatology. 32(4). 464–470. 1 indexed citations
8.
Ichimura, Yohei, Takuya Miyagawa, Yuki Fukui, et al.. (2021). The Contribution of LIGHT (TNFSF14) to the Development of Systemic Sclerosis by Modulating IL-6 and T Helper Type 1 Chemokine Expression in Dermal Fibroblasts. Journal of Investigative Dermatology. 142(6). 1541–1551.e3. 3 indexed citations
9.
Xu, Yong, R Rothe, Dagmar Voigt, et al.. (2021). Convergent synthesis of diversified reversible network leads to liquid metal-containing conductive hydrogel adhesives. Nature Communications. 12(1). 2407–2407. 143 indexed citations
10.
Miyagawa, Takuya, Yuki Fukui, Yuta Norimatsu, et al.. (2021). A potential contribution of decreased serum galectin‐10 levels to systemic inflammation and pulmonary vascular involvement in systemic sclerosis. Experimental Dermatology. 30(7). 959–965. 3 indexed citations
11.
Miura, Shunsuke, Ryosuke Saigusa, Takashi Yamashita, et al.. (2021). Fli1 deficiency suppresses RALDH1 activity of dermal dendritic cells and related induction of regulatory T cells: a possible role in scleroderma. Arthritis Research & Therapy. 23(1). 137–137. 8 indexed citations
12.
13.
Nakamura, Yasuhiro, Jun Asai, Hiroshi Igaki, et al.. (2019). Japanese Dermatological Association Guidelines: Outlines of guidelines for cutaneous melanoma 2019. The Journal of Dermatology. 47(2). 89–103. 33 indexed citations
14.
15.
Kurano, Makoto, Tomomitsu Miyagaki, Takuya Miyagawa, et al.. (2018). Association between serum autotaxin or phosphatidylserine‐specific phospholipase A1 levels and melanoma. The Journal of Dermatology. 45(5). 571–579. 20 indexed citations
16.
Miyagawa, Takuya, Yoshihide Asano, Ryosuke Saigusa, et al.. (2017). Serum H‐ficolin levels: Clinical association with interstitial lung disease in patients with systemic sclerosis. The Journal of Dermatology. 44(10). 1168–1171. 9 indexed citations
17.
Hirabayashi, Megumi, Yoshihide Asano, Takashi Yamashita, et al.. (2017). Possible pro‐inflammatory role of heparin‐binding epidermal growth factor‐like growth factor in the active phase of systemic sclerosis. The Journal of Dermatology. 45(2). 182–188. 6 indexed citations
18.
Miyagawa, Takuya & Takafumi Kadono. (2016). Scrotal calcinosis. Japanese Journal of Clinical Oncology. 47(2). 185–186.
19.
Miyagawa, Takuya, et al.. (2013). Improvement of Tag Node Detection Rate Using Multi-Stage Arrangement of HSN Readers and Notice of Identified Tag Nodes in the Following Stage in Hybrid RFID Sensor Network. IEICE technical report. Speech. 112(463). 277–282. 1 indexed citations
20.
Miyagawa, Takuya. (2008). The Meteorological Observation System and Colonial Meteorology in Early 20th-Century Korea. 18(2). 140–150. 4 indexed citations

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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