Ryota Ishii

1.5k total citations
72 papers, 596 citations indexed

About

Ryota Ishii is a scholar working on Pulmonary and Respiratory Medicine, Statistics and Probability and Surgery. According to data from OpenAlex, Ryota Ishii has authored 72 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 14 papers in Statistics and Probability and 13 papers in Surgery. Recurrent topics in Ryota Ishii's work include Statistical Methods and Bayesian Inference (9 papers), Statistical Methods in Clinical Trials (8 papers) and Stroke Rehabilitation and Recovery (5 papers). Ryota Ishii is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Statistical Methods in Clinical Trials (8 papers) and Stroke Rehabilitation and Recovery (5 papers). Ryota Ishii collaborates with scholars based in Japan, Netherlands and United States. Ryota Ishii's co-authors include Michiyuki Kawakami, Thomas C. Kwee, Meigen Liu, Yuki Arita, Hisashi Noma, Shigeo Okuda, Masahiro Jinzaki, Yuki Matsushima, Takuya Nakamura and Masahiko Gosho and has published in prestigious journals such as Nature, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ryota Ishii

62 papers receiving 585 citations

Peers

Ryota Ishii
Comparison fields: 5 of 102
  • Surgery 137
  • Oncology 117
  • Pulmonary and Respiratory Medicine 109
  • Molecular Biology 108
  • Radiology, Nuclear Medicine and Imaging 97
Replace Il Ki Hong with:
Il Ki Hong South Korea
Serkan Çelik Türkiye
Hye‐Rim Park South Korea
Daniela Alexandru United States
Saksham Gupta United States
Jie Geng China
Zhonghua Chen China
Zhili Liu China
Peter Chan Australia
Gaurav K. Gupta United States
Il Ki Hong South Korea View profile →
Citations per field, relative to Ryota Ishii
Ryota Ishii · 1×
Citations per year, relative to Ryota Ishii
Ryota Ishii · 1×

Countries citing papers authored by Ryota Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Ryota Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryota Ishii

This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Ishii. A scholar is included among the top collaborators of Ryota Ishii 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 Ryota Ishii. Ryota Ishii 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 0
2 0
3 1
4 0
5 0
6 0
7 2
8 2
9 1
10 2
11 5
12 1
13 5
14 1
15 18
16 18
17 12
18 9
19 8
20 25

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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