Hideki Ueyama

506 total citations
36 papers, 300 citations indexed

About

Hideki Ueyama is a scholar working on Surgery, Rheumatology and Epidemiology. According to data from OpenAlex, Hideki Ueyama has authored 36 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 5 papers in Rheumatology and 4 papers in Epidemiology. Recurrent topics in Hideki Ueyama's work include Total Knee Arthroplasty Outcomes (27 papers), Orthopaedic implants and arthroplasty (23 papers) and Orthopedic Infections and Treatments (17 papers). Hideki Ueyama is often cited by papers focused on Total Knee Arthroplasty Outcomes (27 papers), Orthopaedic implants and arthroplasty (23 papers) and Orthopedic Infections and Treatments (17 papers). Hideki Ueyama collaborates with scholars based in Japan. Hideki Ueyama's co-authors include Hiroaki Nakamura, Yukihide Minoda, Ryo Sugama, Yoichi Ohta, Suguru Nakamura, Yoshiki Taniguchi, Kumi Orita, Tadashi Okano, K. Mamoto and Hideki Iwaguro and has published in prestigious journals such as Journal of Bone and Joint Surgery, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

Hideki Ueyama

30 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Ueyama Japan 11 240 29 23 22 16 36 300
Kanniraj Marimuthu India 9 195 0.8× 14 0.5× 21 0.9× 29 1.3× 34 2.1× 19 297
Nicolandrea Del Piccolo Italy 12 254 1.1× 30 1.0× 45 2.0× 11 0.5× 22 1.4× 24 355
Shin Miyatake Japan 11 239 1.0× 36 1.2× 23 1.0× 8 0.4× 18 1.1× 14 375
Han Xiao China 13 193 0.8× 17 0.6× 26 1.1× 10 0.5× 29 1.8× 20 294
Shengcan Li China 12 199 0.8× 20 0.7× 19 0.8× 11 0.5× 33 2.1× 14 328
Gina M. Mosich United States 11 258 1.1× 34 1.2× 25 1.1× 9 0.4× 28 1.8× 17 324
Alessandro Casadei Italy 8 87 0.4× 57 2.0× 11 0.5× 21 1.0× 26 1.6× 9 194
Steven M. Presciutti United States 12 190 0.8× 13 0.4× 52 2.3× 15 0.7× 57 3.6× 21 384
Xian Chang China 11 131 0.5× 22 0.8× 46 2.0× 19 0.9× 80 5.0× 22 359
Muhammad Andry Usman Indonesia 10 196 0.8× 39 1.3× 48 2.1× 11 0.5× 62 3.9× 32 319

Countries citing papers authored by Hideki Ueyama

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Ueyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Ueyama

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Ueyama. A scholar is included among the top collaborators of Hideki Ueyama 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 Hideki Ueyama. Hideki Ueyama 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
9.
Ueyama, Hideki, et al.. (2023). Long-term clinical results of alumina ceramic medial pivot total knee arthroplasty: a 10-year follow-up study. Arthroplasty. 5(1). 27–27. 3 indexed citations
10.
Ueyama, Hideki, Tadashi Okano, Kumi Orita, et al.. (2023). Three-dimensional adipose-derived stem cell spheroids exert potent therapeutic effects on rat femur osteochondral defects. The Knee. 42. 382–389. 2 indexed citations
12.
Ueyama, Hideki, Tadashi Okano, Kumi Orita, et al.. (2020). Local transplantation of adipose-derived stem cells has a significant therapeutic effect in a mouse model of rheumatoid arthritis. Scientific Reports. 10(1). 3076–3076. 38 indexed citations
14.
Ueyama, Hideki, et al.. (2020). Long-term clinical outcomes of medial pivot total knee arthroplasty for Asian patients: A mean 10-year follow-up study. The Knee. 27(6). 1778–1786. 8 indexed citations
15.
Minoda, Yukihide, et al.. (2019). Joint line elevation is not associated with mid-flexion laxity in patients with varus osteoarthritis after total knee arthroplasty. Knee Surgery Sports Traumatology Arthroscopy. 28(10). 3226–3231. 8 indexed citations
16.
Minoda, Yukihide, Ryo Sugama, Yoichi Ohta, et al.. (2019). Design improvement in patient-specific instrumentation for total knee arthroplasty improved the accuracy of the tibial prosthetic alignment in the coronal and axial planes. Knee Surgery Sports Traumatology Arthroscopy. 28(5). 1560–1567. 7 indexed citations
17.
Minoda, Yukihide, Shigekazu Mizokawa, Yoichi Ohta, et al.. (2017). Novel alignment measurement technique for total knee arthroplasty using patient specific instrumentation. Archives of Orthopaedic and Trauma Surgery. 137(3). 401–407. 16 indexed citations
18.
Ueyama, Hideki, et al.. (2016). Clinical outcomes and prognostic factors depending on implant design in the treatment of proximal humeral fractures: A retrospective study. Journal of Orthopaedics. 13(4). 369–375. 2 indexed citations
19.
Ueyama, Hideki, et al.. (2016). Clinical experiences of focal periphyseal edema zones in adolescent knees: case reports. Journal of Pediatric Orthopaedics B. 27(1). 26–30. 3 indexed citations
20.
Ueyama, Hideki, et al.. (2015). Arthroscopic treatment of an osteoid osteoma at the base of the coracoid process: A case report. Journal of Orthopaedic Science. 21(2). 245–249. 1 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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