Sayaka Kuba

542 total citations
44 papers, 353 citations indexed

About

Sayaka Kuba is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sayaka Kuba has authored 44 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 11 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sayaka Kuba's work include Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (6 papers) and Cancer Treatment and Pharmacology (6 papers). Sayaka Kuba is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (6 papers) and Cancer Treatment and Pharmacology (6 papers). Sayaka Kuba collaborates with scholars based in Japan and United States. Sayaka Kuba's co-authors include Susumu Eguchi, Kosho Yamanouchi, Shigeto Maeda, Megumi Matsumoto, Takeshi Nagayasu, Naomi Hayashida, Hiroshi Yano, Ryota Otsubo, Hiroshi Ohtani and Takashi Kanematsu and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Sayaka Kuba

39 papers receiving 344 citations

Peers

Sayaka Kuba
Comparison fields: 5 of 71
  • Oncology 110
  • Surgery 105
  • Endocrinology, Diabetes and Metabolism 81
  • Pathology and Forensic Medicine 76
  • Pulmonary and Respiratory Medicine 72
N Tradati Italy
Silvia Pecchio Italy
George M. Filippakis Greece
Axel Sauerwald Germany
Alessandro Parisi Italy
M Izuo Japan
Fabrizio Scognamillo Italy
Paweł Kurzawa Poland
Isao Tabei Japan
Heidi A. Apsey United States
N Tradati Italy View profile →
Citations per field, relative to Sayaka Kuba
Sayaka Kuba · 1×
Citations per year, relative to Sayaka Kuba
Sayaka Kuba · 1×

Countries citing papers authored by Sayaka Kuba

Since Specialization
Citations

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

Fields of papers citing papers by Sayaka Kuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayaka Kuba

This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Kuba. A scholar is included among the top collaborators of Sayaka Kuba 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 Sayaka Kuba. Sayaka Kuba 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 1
2 1
3 1
4 0
5 4
6 2
7 7
8 20
9 10
10 1
11
Bevacizumab +oral 5-fluorourasil versus intensive chemotherapy for the treatment of elderly patients with metastatic colorectal cancer
0
12 2
13 6
14 13
15
Discordance of hormone receptor, human epidermal growth factor receptor-2, and Ki-67 between primary breast cancer and synchronous axillary lymph node metastasis.
9
16 13
17 61
18 5
19
Evaluation of the operative methods for Graves' disease.
2
20 2

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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