Go Kubota

1.2k total citations
49 papers, 605 citations indexed

About

Go Kubota is a scholar working on Pathology and Forensic Medicine, Surgery and Pharmacology. According to data from OpenAlex, Go Kubota has authored 49 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 31 papers in Surgery and 20 papers in Pharmacology. Recurrent topics in Go Kubota's work include Spine and Intervertebral Disc Pathology (33 papers), Musculoskeletal pain and rehabilitation (20 papers) and Scoliosis diagnosis and treatment (12 papers). Go Kubota is often cited by papers focused on Spine and Intervertebral Disc Pathology (33 papers), Musculoskeletal pain and rehabilitation (20 papers) and Scoliosis diagnosis and treatment (12 papers). Go Kubota collaborates with scholars based in Japan, United States and Canada. Go Kubota's co-authors include Seiji Ohtori, Sumihisa Orita, Kazuhide Inage, Yasuchika Aoki, Kazuhisa Takahashi, Yawara Eguchi, Kazuyo Yamauchi, Junichi Nakamura, Jun Sato and Yasuhiro Oikawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Scientific Reports.

In The Last Decade

Go Kubota

46 papers receiving 592 citations

Peers

Go Kubota
Comparison fields: 5 of 68
  • Pathology and Forensic Medicine 415
  • Surgery 374
  • Pharmacology 214
  • Biomedical Engineering 91
  • Physiology 76
Replace Kenichi Takeno with:
Kenichi Takeno Japan
Hans Jörg Meisel Germany
Jayesh Trivedi United Kingdom
Scott Tromanhauser United States
George Wahba Canada
Jianming Hua China
Martti Ruuskanen Finland
Norihiko Takegami Japan
Stefan Schären Switzerland
Munehisa Koizumi Japan
Kenichi Takeno Japan View profile →
Citations per field, relative to Go Kubota
Go Kubota · 1×
Citations per year, relative to Go Kubota
Go Kubota · 1×

Countries citing papers authored by Go Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Go Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Kubota

This figure shows the co-authorship network connecting the top 25 collaborators of Go Kubota. A scholar is included among the top collaborators of Go Kubota 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 Go Kubota. Go Kubota 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
# Work Indexed citations
1 6
2 1
3 1
4 1
5 5
6 48
7 3
8 10
9 19
10 26
11 15
12 41
13 4
14 1
15 24
16 41
17
Decreased calcitonin gene-related peptide expression in the dorsal root ganglia of TNF-deficient mice in a monoiodoacetate-induced knee osteoarthritis model.
4
18 7
19 14
20 27

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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