Jun Araki

9.2k total citations · 2 hit papers
168 papers, 6.9k citations indexed

About

Jun Araki is a scholar working on Surgery, Biomaterials and Organic Chemistry. According to data from OpenAlex, Jun Araki has authored 168 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 43 papers in Biomaterials and 26 papers in Organic Chemistry. Recurrent topics in Jun Araki's work include Advanced Cellulose Research Studies (35 papers), Reconstructive Surgery and Microvascular Techniques (26 papers) and Supramolecular Chemistry and Complexes (18 papers). Jun Araki is often cited by papers focused on Advanced Cellulose Research Studies (35 papers), Reconstructive Surgery and Microvascular Techniques (26 papers) and Supramolecular Chemistry and Complexes (18 papers). Jun Araki collaborates with scholars based in Japan, United States and Brazil. Jun Araki's co-authors include Shigenori Kuga, Masahisa Wada, Kohzo Ito, Takeshi Okano, Kotaro Yoshimura, Harunosuke Kato, Noriyuki Aoi, Hirotaka Suga, Hitomi Eto and Takuya Iida and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jun Araki

162 papers receiving 6.7k citations

Hit Papers

Flow properties of microcrystalline cellulose suspension ... 1998 2026 2007 2016 1998 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Araki Japan 41 2.7k 1.4k 1.0k 876 769 168 6.9k
Xiumei Wang China 58 3.2k 1.2× 1.3k 0.9× 3.6k 3.5× 335 0.4× 606 0.8× 397 11.6k
Seung Jin Lee South Korea 45 2.2k 0.8× 1.1k 0.8× 1.6k 1.5× 755 0.9× 275 0.4× 250 8.0k
John A. M. Ramshaw Australia 49 4.0k 1.5× 1.0k 0.7× 1.5k 1.5× 367 0.4× 268 0.3× 188 8.2k
Pedro L. Granja Portugal 53 3.1k 1.1× 1.1k 0.7× 3.5k 3.4× 372 0.4× 314 0.4× 138 7.6k
Qiang Zhao China 57 3.7k 1.3× 2.5k 1.8× 2.4k 2.2× 380 0.4× 388 0.5× 245 11.0k
Akon Higuchi Japan 56 1.5k 0.6× 929 0.7× 3.3k 3.2× 239 0.3× 645 0.8× 304 9.5k
Mohammad Ali Shokrgozar Iran 56 4.9k 1.8× 1.5k 1.0× 5.0k 4.8× 586 0.7× 389 0.5× 418 12.1k
Satoshi Nakamura Japan 52 1.1k 0.4× 668 0.5× 2.7k 2.6× 508 0.6× 503 0.7× 353 8.9k
Jayachandran N. Kizhakkedathu Canada 53 1.7k 0.6× 739 0.5× 1.7k 1.6× 674 0.8× 2.1k 2.8× 221 9.9k
Lei Nie China 44 1.4k 0.5× 391 0.3× 2.2k 2.1× 375 0.4× 288 0.4× 278 7.5k

Countries citing papers authored by Jun Araki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Araki

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Araki. A scholar is included among the top collaborators of Jun Araki 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 Jun Araki. Jun Araki 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.
Hayakawa, Masashi, Yukiko Tadokoro, Shogo Nakamura, et al.. (2024). Superficial Thoracic Artery Perforator Flap for Volume Replacement Oncoplastic Breast-conserving Surgery. Plastic & Reconstructive Surgery Global Open. 12(6). e5881–e5881.
3.
Lange, Lukas, et al.. (2023). DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. 822–835. 9 indexed citations
4.
Jiang, Zhengbao, Luyu Gao, Zhiruo Wang, et al.. (2022). Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. 2336–2349. 10 indexed citations
5.
Jalili, Rouhollah, Bryan H. R. Suryanto, Jing Sun, et al.. (2021). Liquid Crystal-Mediated 3D Printing Process to Fabricate Nano-Ordered Layered Structures. ACS Applied Materials & Interfaces. 13(24). 28627–28638. 13 indexed citations
6.
Ishii, Kenjiro, Yasuhiro Tsubosa, Yoshitaka Ishii, et al.. (2020). Utility of the evaluation of blood flow of remnant esophagus with indocyanine green in esophagectomy with jejunum reconstruction: Case series. Annals of Medicine and Surgery. 62. 21–25. 6 indexed citations
7.
Hatayama, Naoyuki, Shuichi Hirai, Munekazu Naito, et al.. (2018). Preservation of rat limbs by hyperbaric carbon monoxide and oxygen. Scientific Reports. 8(1). 6627–6627. 4 indexed citations
8.
Galvão, Flávio Henrique Ferreira, Daniel Reis Waisberg, Víctor Edmond Seid, et al.. (2016). Allogeneic anorectal transplantation in rats: technical considerations and preliminary results. Scientific Reports. 6(1). 30894–30894. 7 indexed citations
9.
Iida, Takuya, Mitsunaga Narushima, Hidehiko Yoshimatsu, et al.. (2013). A free vascularised iliac bone flap based on superficial circumflex iliac perforators for head and neck reconstruction. Journal of Plastic Reconstructive & Aesthetic Surgery. 66(11). 1596–1599. 44 indexed citations
10.
Ohkawa, Kousaku, et al.. (2012). Synthesis of peptide–cellulose conjugate mediated by a soluble cellulose derivative having β-Ala esters. International Journal of Biological Macromolecules. 53. 150–159. 6 indexed citations
11.
Araki, Jun, Masahiro Jona, Hitomi Eto, et al.. (2011). Optimized Preparation Method of Platelet-Concentrated Plasma and Noncoagulating Platelet-Derived Factor Concentrates: Maximization of Platelet Concentration and Removal of Fibrinogen. Tissue Engineering Part C Methods. 18(3). 176–185. 135 indexed citations
12.
Araki, Jun, et al.. (2011). Helminth fauna of a turtle species introduced in Japan, the red-eared slider turtle (Trachemys scripta elegans). Research in Veterinary Science. 93(2). 826–830. 21 indexed citations
13.
Kato, Harunosuke, Jun Araki, Hitomi Eto, et al.. (2011). A Prospective Randomized Controlled Study of Oral Tranexamic Acid for Preventing Postinflammatory Hyperpigmentation After Q-Switched Ruby Laser. Dermatologic Surgery. 37(5). 605–610. 46 indexed citations
14.
Narushima, Mitsunaga, Makoto Mihara, Isao Koshima, et al.. (2009). Digital artery perforator (DAP) flaps: Modifications for fingertip and finger stump reconstruction. Journal of Plastic Reconstructive & Aesthetic Surgery. 63(8). 1312–1317. 54 indexed citations
16.
Umehara, Azusa, Yasushi Kawakami, Jun Araki, & Akihiko UCHIDA. (2007). Molecular identification of the etiological agent of the human anisakiasis in Japan. Parasitology International. 56(3). 211–215. 123 indexed citations
17.
Araki, Jun, Changming Zhao, & Kohzo Ito. (2005). Efficient Production of Polyrotaxanes from α-Cyclodextrin and Poly(ethylene glycol). Macromolecules. 38(17). 7524–7527. 145 indexed citations
18.
Kawamura, Sumio, Hironobu Koga, Takayoshi Tashiro, et al.. (1996). Two Cases of Pulmonary Dirofilariasis in Nagasaki Prefecture. Kansenshogaku zasshi. 70(7). 746–751. 1 indexed citations
19.
Tanaka, Masako, et al.. (1992). A Case of Squamous Cell Carcinoma of the Lung with Metastasis to a Limb Muscle.. Haigan. 32(3). 421–426. 1 indexed citations
20.
Araki, Jun, et al.. (1991). A case of mucus-producing adenocarcinoma of the lung wiht a 10-year clinical history.. Haigan. 31(2). 247–252. 3 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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