Hitoshi Arimura

799 total citations
16 papers, 513 citations indexed

About

Hitoshi Arimura is a scholar working on Surgery, Orthopedics and Sports Medicine and Molecular Biology. According to data from OpenAlex, Hitoshi Arimura has authored 16 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Orthopedics and Sports Medicine and 3 papers in Molecular Biology. Recurrent topics in Hitoshi Arimura's work include Shoulder Injury and Treatment (7 papers), Tendon Structure and Treatment (5 papers) and Peripheral Neuropathies and Disorders (3 papers). Hitoshi Arimura is often cited by papers focused on Shoulder Injury and Treatment (7 papers), Tendon Structure and Treatment (5 papers) and Peripheral Neuropathies and Disorders (3 papers). Hitoshi Arimura collaborates with scholars based in Japan. Hitoshi Arimura's co-authors include Hiroshi Mizuta, Takuya Tokunaga, Kimiyoshi Arimura, Osamu Watanabe, Isao Kitajima, Katsuhiko Matsuo, Mitsuya Hanatani, Mitsuhiro Osame, Takayo Arisato and Ikuro Maruyama and has published in prestigious journals such as The American Journal of Sports Medicine, Arthroscopy The Journal of Arthroscopic and Related Surgery and Journal of the Neurological Sciences.

In The Last Decade

Hitoshi Arimura

16 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Arimura Japan 9 188 169 127 104 88 16 513
Alyson Morse Australia 15 147 0.8× 56 0.3× 218 1.7× 294 2.8× 11 0.1× 28 641
S. Ferkal France 14 103 0.5× 620 3.7× 28 0.2× 138 1.3× 17 0.2× 33 863
Cédric Thépenier France 8 138 0.7× 44 0.3× 20 0.2× 325 3.1× 24 0.3× 12 517
W. Bradley Jacobs Canada 8 452 2.4× 30 0.2× 50 0.4× 188 1.8× 49 0.6× 9 759
Catherine Sweeney Ireland 11 94 0.5× 107 0.6× 11 0.1× 493 4.7× 24 0.3× 11 819
Jacqueline D. Peacock United States 12 98 0.5× 42 0.2× 33 0.3× 299 2.9× 11 0.1× 16 628
Y Guégan France 14 356 1.9× 193 1.1× 17 0.1× 78 0.8× 76 0.9× 47 714
Beatriz Bravo Spain 15 144 0.8× 15 0.1× 112 0.9× 222 2.1× 15 0.2× 36 624
Russell H. Mellor United Kingdom 15 558 3.0× 26 0.2× 47 0.4× 346 3.3× 35 0.4× 22 1.4k
Amina F. Zebboudj United States 7 81 0.4× 49 0.3× 26 0.2× 270 2.6× 8 0.1× 7 753

Countries citing papers authored by Hitoshi Arimura

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Arimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Arimura

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

All Works

16 of 16 papers shown
1.
Tokunaga, Takuya, Chisa Shukunami, Hitoshi Arimura, et al.. (2019). Fibroblast Growth Factor 2 Enhances Tendon-to-Bone Healing in a Rat Rotator Cuff Repair of Chronic Tears. The American Journal of Sports Medicine. 47(7). 1701–1712. 52 indexed citations
2.
Arimura, Hitoshi, Chisa Shukunami, Takuya Tokunaga, et al.. (2017). TGF-β1 Improves Biomechanical Strength by Extracellular Matrix Accumulation Without Increasing the Number of Tenogenic Lineage Cells in a Rat Rotator Cuff Repair Model. The American Journal of Sports Medicine. 45(10). 2394–2404. 53 indexed citations
3.
Tokunaga, Takuya, Tatsuki Karasugi, Hitoshi Arimura, et al.. (2017). Enhancement of rotator cuff tendon–bone healing with fibroblast growth factor 2 impregnated in gelatin hydrogel sheets in a rabbit model. Journal of Shoulder and Elbow Surgery. 26(10). 1708–1717. 41 indexed citations
4.
Tokunaga, Takuya, et al.. (2017). Effect of FGF-2-impregnated gelatin hydrogel sheet incorporation into the bony trough on rotator cuff healing: a rabbit model. Journal of Shoulder and Elbow Surgery. 26(4). e110–e110. 2 indexed citations
5.
Tokunaga, Takuya, et al.. (2016). Fibroblast growth factor-2 improves the tendon-to-bone healing by stimulating the growth of tenogenic progenitors in a rat rotator cuff repair model. Journal of Orthopaedic Translation. 7. 125–125. 1 indexed citations
6.
Tokunaga, Takuya, Junji Ide, Hitoshi Arimura, et al.. (2015). Local Application of Gelatin Hydrogel Sheets Impregnated With Platelet‐Derived Growth Factor BB Promotes Tendon‐to‐Bone Healing After Rotator Cuff Repair in Rats. Arthroscopy The Journal of Arthroscopic and Related Surgery. 31(8). 1482–1491. 37 indexed citations
7.
Ide, Junji, Takuya Tokunaga, Hitoshi Arimura, et al.. (2014). Effect of Postoperative Passive Motion on Rotator Cuff Reconstruction With Acellular Dermal Matrix Grafts in a Rat Model. The American Journal of Sports Medicine. 42(8). 1930–1938. 8 indexed citations
8.
Watanabe, Osamu, Ikuro Maruyama, Kimiyoshi Arimura, et al.. (1998). Overproduction of vascular endothelial growth factor/vascular permeability factor is causative in crow-fukase (POEMS) syndrome. Muscle & Nerve. 21(11). 1390–1397. 190 indexed citations
9.
Watanabe, Osamu, Ikuro Maruyama, Kimiyoshi Arimura, et al.. (1998). Overproduction of vascular endothelial growth factor/vascular permeability factor is causative in crow–fukase (POEMS) syndrome. Muscle & Nerve. 21(11). 1390–1397. 13 indexed citations
10.
Uozumi, Kimiharu, et al.. (1997). Isolated choroidal leukemic infiltration during complete remission. American Journal of Hematology. 55(3). 164–165. 3 indexed citations
11.
Arimura, Hitoshi, et al.. (1997). [Two cases of POEMS syndrome with increased vascular endothelial growth factor (VEGF)].. PubMed. 37(9). 817–23. 8 indexed citations
12.
Unoki, K, Aoi Okubo, Hitoshi Arimura, et al.. (1995). [Beneficial effect of a retinoic acid responsive gene product, midkine, on constant light-induced retinal damage in albino mice].. PubMed. 99(6). 636–41. 8 indexed citations
13.
Yoshida, Yoshihiro, et al.. (1995). Immunological abnormality in patients with lysinuric protein intolerance. Journal of the Neurological Sciences. 134(1-2). 178–183. 18 indexed citations
14.
Arimura, Hitoshi, Masanori Nakagawa, Yoshikazu Maruyama, Kimiyoshi Arimura, & Mitsuhiro Osame. (1995). A Hemophiliac with Human Immunodeficiency Virus (HIV)-1-Associated Dementia Complex.. Internal Medicine. 34(10). 995–999. 1 indexed citations
15.
Arimura, Hitoshi, et al.. (1995). [Paroxysmal dystonic choreoathetosis with chronic hemolytic anemia and morphologically abnormal erythrocytes].. PubMed. 35(1). 29–33. 1 indexed citations
16.
Unoki, K, Norio Ohba, Hitoshi Arimura, Hideki Muramatsu, & Takashi Muramatsu. (1994). Rescue of photoreceptors from the damaging effects of constant light by midkine, a retinoic acid-responsive gene product.. PubMed. 35(12). 4063–8. 77 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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