Yuichi Sakamori

2.0k citations
81 papers · 1.5k indexed · h-index 19
Topics
Lung Cancer Treatments and Mutations (45 papers)Lung Cancer Research Studies (31 papers)Lung Cancer Diagnosis and Treatment (14 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
JapanItalyUnited States

In The Last Decade

Yuichi Sakamori

76 papers receiving 1.4k citations

Peers

Yuichi Sakamori
Comparison fields: 5 of 88
  • Oncology 1.0k
  • Pulmonary and Respiratory Medicine 932
  • Molecular Biology 330
  • Cancer Research 146
  • Epidemiology 127
Replace Motohiro Tamiya with:
Motohiro Tamiya Japan
Gongyan Chen China
Fernando C. Santini United States
Ryoji Kato Japan
Keita Kudo Japan
Yifah Yaron United States
Tatsunori Shimoi Japan
Sachdev Thomas United States
Hiroki Nagai Japan
Paolo De Giuli Italy
Yuichi Sakamori relative to Motohiro Tamiya Japan Motohiro Tamiya's profile →
Citations per field
00.5×1.5×2.1×
Motohiro Tamiya · 1×
Citations per year

Countries citing papers authored by Yuichi Sakamori

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Sakamori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Sakamori

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Sakamori. A scholar is included among the top collaborators of Yuichi Sakamori 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 Yuichi Sakamori. Yuichi Sakamori 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 14
2 5
3 1
4 4
5 32
6 57
7 105
8 41
9 9
10 10
11 2
12 35
13 11
14 5
15 4
16 15
17 26
18 55
19 42
20 6

About Yuichi Sakamori

Yuichi Sakamori is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (45 papers), Lung Cancer Research Studies (31 papers) and Lung Cancer Diagnosis and Treatment (14 papers). The work is most often cited by research in Oncology (1.0k citations), Pulmonary and Respiratory Medicine (932 citations) and Cancer Research (146 citations). Yuichi Sakamori has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Young Hak Kim, Michiaki Mishima, Yosuke Togashi, Katsuhiro Masago, Hiroki Nagai, Hiroaki Ozasa, Tadashi Mio, Masahide Fukudo, Hironori Yoshida and Yasuaki Ikemi. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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