Rie Sakakibara

782 citations
27 papers · 528 indexed · h-index 10
Topics
Lung Cancer Treatments and Mutations (14 papers)Cancer Immunotherapy and Biomarkers (5 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)
Partner nations
JapanIndiaGermany

In The Last Decade

Rie Sakakibara

21 papers receiving 523 citations

Peers

Rie Sakakibara
Comparison fields: 5 of 52
  • Oncology 376
  • Pulmonary and Respiratory Medicine 264
  • Epidemiology 115
  • Molecular Biology 114
  • Cancer Research 67
Replace Jinluan Li with:
Jinluan Li China
Jun Chul Chung South Korea
Elisa Andrini Italy
Hans‐Peter Allgaier Germany
Taisuke Tsuji Japan
Kristin Kathleen Ancell United States
Anika E. Adeni United States
Shinya Tane Japan
Alessandra Anna Prete Italy
Joanna Huszno Poland
Rie Sakakibara relative to Jinluan Li China Jinluan Li's profile →
Citations per field
00.5×2.6×
Jinluan Li · 1×
Citations per year

Countries citing papers authored by Rie Sakakibara

Since Specialization
Citations

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

Fields of papers citing papers by Rie Sakakibara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Sakakibara

This figure shows the co-authorship network connecting the top 25 collaborators of Rie Sakakibara. A scholar is included among the top collaborators of Rie Sakakibara 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 Rie Sakakibara. Rie Sakakibara 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 9
5 0
6 1
7 6
8 0
9 3
10 2
11 0
12 1
13 9
14 0
15 12
16 30
17 78
18 108
19 77
20 48

About Rie Sakakibara

Rie Sakakibara is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 27 papers that have together received 528 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). The work is most often cited by research in Oncology (376 citations), Pulmonary and Respiratory Medicine (264 citations) and Cancer Research (67 citations). Rie Sakakibara has collaborated with scholars based in Japan, India and Germany. Frequent co-authors include Hironori Ninomiya, Yuichi Ishikawa, Sakae Okumura, Kentaro Inamura, Maki Kobayashi, Yusuke Yokouchi, Hiroko Nagano, Kimie Nomura, Makoto Nishio and Tomoko Shibutani. Their work appears in journals such as The American Journal of Surgical Pathology, Oncotarget and Modern Pathology.

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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