Danilo Harudy Kamonseki

706 total citations
45 papers, 448 citations indexed

About

Danilo Harudy Kamonseki is a scholar working on Surgery, Orthopedics and Sports Medicine and Pharmacology. According to data from OpenAlex, Danilo Harudy Kamonseki has authored 45 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 21 papers in Orthopedics and Sports Medicine and 20 papers in Pharmacology. Recurrent topics in Danilo Harudy Kamonseki's work include Shoulder Injury and Treatment (20 papers), Musculoskeletal pain and rehabilitation (19 papers) and Sports injuries and prevention (16 papers). Danilo Harudy Kamonseki is often cited by papers focused on Shoulder Injury and Treatment (20 papers), Musculoskeletal pain and rehabilitation (19 papers) and Sports injuries and prevention (16 papers). Danilo Harudy Kamonseki collaborates with scholars based in Brazil, United States and Spain. Danilo Harudy Kamonseki's co-authors include Liu Chiao Yi, Letícia Bojikian Calixtre, Paula Rezende Camargo, Império Lombardi, Melina Nevoeiro Haik, Elly Budiman‐Mak, Jonathan P. Braman, Peter D. Christenson, Paula M. Ludewig and Rebekah L. Lawrence and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Danilo Harudy Kamonseki

39 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danilo Harudy Kamonseki Brazil 13 179 167 162 75 67 45 448
Madeleine Hellman United States 10 236 1.3× 178 1.1× 149 0.9× 30 0.4× 87 1.3× 12 487
James W. Brantingham United States 15 243 1.4× 251 1.5× 286 1.8× 127 1.7× 36 0.5× 27 658
Joseph R. Kardouni United States 17 191 1.1× 212 1.3× 178 1.1× 88 1.2× 158 2.4× 33 574
Barton E. Anderson United States 8 127 0.7× 245 1.5× 123 0.8× 63 0.8× 27 0.4× 17 436
Malihe Hadadnezhad Iran 11 152 0.8× 183 1.1× 183 1.1× 46 0.6× 24 0.4× 39 397
Richard B. Westrick United States 13 281 1.6× 375 2.2× 256 1.6× 92 1.2× 100 1.5× 36 678
Fernando Santonja‐Medina Spain 15 270 1.5× 168 1.0× 152 0.9× 50 0.7× 20 0.3× 52 482
Lianne Wood United Kingdom 11 187 1.0× 102 0.6× 255 1.6× 185 2.5× 20 0.3× 30 590
Daniel Câmara Azevedo Brazil 13 220 1.2× 137 0.8× 386 2.4× 70 0.9× 64 1.0× 18 619
Doochul Shin South Korea 12 77 0.4× 80 0.5× 136 0.8× 76 1.0× 50 0.7× 38 489

Countries citing papers authored by Danilo Harudy Kamonseki

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Harudy Kamonseki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Harudy Kamonseki. 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 Danilo Harudy Kamonseki. The network helps show where Danilo Harudy Kamonseki may publish in the future.

Co-authorship network of co-authors of Danilo Harudy Kamonseki

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Harudy Kamonseki. A scholar is included among the top collaborators of Danilo Harudy Kamonseki 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 Danilo Harudy Kamonseki. Danilo Harudy Kamonseki 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
1.
Kamonseki, Danilo Harudy, et al.. (2025). Association of psychological factors and sleep quality with activity-related pain and disability in individuals with frozen shoulder. Musculoskeletal Science and Practice. 78. 103366–103366.
2.
Oliveira, Valéria Mayaly Alves de, et al.. (2025). Does manual therapy improve pain, disability, and glenohumeral motion in overhead athletes? Systematic review and meta-analysis. International journal of osteopathic medicine. 55. 100747–100747.
4.
Calixtre, Letícia Bojikian, et al.. (2025). Reliability of physical performance tests for the upper extremity and trunk using telehealth in athletes. Journal of Bodywork and Movement Therapies. 42. 846–853.
5.
Kamonseki, Danilo Harudy, et al.. (2024). Thinking outside the shoulder: A systematic review and metanalysis of kinetic chain characteristics in non-athletes with shoulder pain. PLoS ONE. 19(12). e0314909–e0314909. 1 indexed citations
6.
7.
Barbosa, Germanna Medeiros, et al.. (2024). Brazilian version of the Kerlan-Jobe orthopedic clinic shoulder and elbow score: translation and cross-cultural adaptation. Sao Paulo Medical Journal. 143(1). e2024139–e2024139.
8.
Barbosa, Germanna Medeiros, et al.. (2023). Physical Performance and Mobility Tests Using Telehealth: A Feasibility Study With Athletes. Journal of Sport Rehabilitation. 32(5). 617–623. 2 indexed citations
9.
Barbosa, Germanna Medeiros, et al.. (2023). Measurement properties of upper extremity physical performance tests in athletes: a systematic review. Brazilian Journal of Physical Therapy. 28(1). 100575–100575. 5 indexed citations
10.
Barbosa, Germanna Medeiros, et al.. (2023). Lower Extremity Physical Performance Tests for the Assessment of Athletes via Telehealth are Reliable. Journal of Sport Rehabilitation. 32(5). 612–616. 4 indexed citations
11.
13.
Kamonseki, Danilo Harudy, et al.. (2021). Pain-related fear phenotypes are associated with function of the upper limbs in individuals with shoulder pain. Musculoskeletal Science and Practice. 55. 102416–102416. 5 indexed citations
14.
Kamonseki, Danilo Harudy, et al.. (2021). Measurement properties of the Brazilian versions of Fear-Avoidance Beliefs Questionnaire and Tampa Scale of Kinesiophobia in individuals with shoulder pain. PLoS ONE. 16(12). e0260452–e0260452. 12 indexed citations
15.
Kamonseki, Danilo Harudy, Melina Nevoeiro Haik, & Paula Rezende Camargo. (2020). Scapular movement training versus standardized exercises for individuals with chronic shoulder pain: protocol for a randomized controlled trial. Brazilian Journal of Physical Therapy. 25(2). 221–229. 15 indexed citations
16.
Kamonseki, Danilo Harudy, et al.. (2019). The Brazilian version of the Bournemouth questionnaire for low back pain: translation and cultural adaptation. Sao Paulo Medical Journal. 137(3). 262–269. 6 indexed citations
17.
Yi, Liu Chiao, et al.. (2017). Translation and cultural adaptation of the revised foot function index for the Portuguese language: FFI-R Brazil. Sao Paulo Medical Journal. 135(6). 573–577. 6 indexed citations
18.
Kamonseki, Danilo Harudy, et al.. (2016). Perfil de automedicação no município de São Miguel Arcanjo/ SP. Espaço para a Saúde - Revista de Saúde Pública do Paraná. 17(2). 93–93. 3 indexed citations
19.
Kamonseki, Danilo Harudy, et al.. (2016). Validity and reliability of the Foot Function Index (FFI) questionnaire Brazilian-Portuguese version. SpringerPlus. 5(1). 1810–1810. 27 indexed citations
20.
Kamonseki, Danilo Harudy, et al.. (2012). Efeito imediato da manipulação thrust aplicada na coluna cervical alta sobre a abertura ativa da boca: ensaio clínico randomizado. 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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