Go Omori

2.7k citations
91 papers · 2.1k indexed · h-index 29
Topics
Total Knee Arthroplasty Outcomes (56 papers)Knee injuries and reconstruction techniques (36 papers)Osteoarthritis Treatment and Mechanisms (29 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Go Omori

90 papers receiving 2.0k citations

Peers

Go Omori
Comparison fields: 5 of 85
  • Surgery 1.7k
  • Biomedical Engineering 566
  • Rheumatology 545
  • Orthopedics and Sports Medicine 473
  • Pharmacology 108
Replace Mohamed Jarraya with:
Mohamed Jarraya United States
Yoshio Koga Japan
Reinoud W. Brouwer Netherlands
Daniel Fritschy Switzerland
Michal Kozánek United States
C A F Dodd United Kingdom
R.W. Nutton United Kingdom
Jennifer C. Erhart‐Hledik United States
K.C. Moisio United States
Karl Eriksson Sweden
Go Omori relative to Mohamed Jarraya United States Mohamed Jarraya's profile →
Citations per field
00.5×1.5×2.1×
Mohamed Jarraya · 1×
Citations per year

Countries citing papers authored by Go Omori

Since Specialization
Citations

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

Fields of papers citing papers by Go Omori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Omori

This figure shows the co-authorship network connecting the top 25 collaborators of Go Omori. A scholar is included among the top collaborators of Go Omori 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 Omori. Go Omori 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
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 1
6 1
7 2
8 4
9 7
10 1
11 1
12 42
13 6
14 20
15 32
16 3
17
[Bone and joint diseases in children. Epidemiology of childhood fractures].
4
18
Independent Predictors of Knee Osteoarthritis in an Elderly Japanese Population : A Multivariate Analysis
10
19
Epidemiology of Knee Osteoarthritis
8
20
A Case Report of Arthroscopic and Histological Long-Term Evaluation after Resection Interposition Knee Arthroplasty with Chromicized Autogenous Fascia Lata (J-K Membrane)
1

About Go Omori

Go Omori is a scholar working on Rheumatology, Orthopedics and Sports Medicine and Surgery, having authored 91 papers that have together received 2.1k indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (56 papers), Knee injuries and reconstruction techniques (36 papers) and Osteoarthritis Treatment and Mechanisms (29 papers). The work is most often cited by research in Orthopedics and Sports Medicine (473 citations), Surgery (1.7k citations) and Rheumatology (545 citations). Go Omori has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yoshio Koga, Takashi Satō, Naoto Endo, Hiroyuki Segawa, Koichi Kobayashi, Tomoharu Mochizuki, Osamu Tanifuji, H Yamagiwa, Makoto Sakamoto and Takashi Satō. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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