Takeshi Sawada

2.7k citations
104 papers · 2.1k indexed · h-index 27
Topics
Cancer Cells and Metastasis (13 papers)Cancer Genomics and Diagnostics (11 papers)Cancer Immunotherapy and Biomarkers (10 papers)
Partner nations
JapanUnited StatesSpain

In The Last Decade

Takeshi Sawada

98 papers receiving 2.0k citations

Peers

Takeshi Sawada
Comparison fields: 5 of 118
  • Oncology 802
  • Molecular Biology 704
  • Pulmonary and Respiratory Medicine 466
  • Cancer Research 379
  • Materials Chemistry 228
Replace Aarif Y. Khakoo with:
Aarif Y. Khakoo United States
Andreas Gäumann Germany
H. Yamazaki Japan
Alastair H. Kyle Canada
Qiong Wu China
Gianfranco De Feo Italy
Shin’ichi Miyamoto Japan
Jianbo Wang China
Viktória László Hungary
Yuri Sheinin United States
Takeshi Sawada relative to Aarif Y. Khakoo United States Aarif Y. Khakoo's profile →
Citations per field
00.5×1.5×2.4×
Aarif Y. Khakoo · 1×
Citations per year

Countries citing papers authored by Takeshi Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Sawada

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Sawada. A scholar is included among the top collaborators of Takeshi Sawada 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 Takeshi Sawada. Takeshi Sawada 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
Safety/Tolerability of 1L Pembrolizumab+Chemotherapy in Japanese Patients with Metastatic Nonsquamous NSCLC: KEYNOTE-189
0
3 197
4 1
5 6
6 44
7 5
8 11
9 54
10 58
11 3
12 1
13 145
14 19
15 31
16 2
17 7
18 29
19 3
20 3

About Takeshi Sawada

Takeshi Sawada is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Cancer Genomics and Diagnostics (11 papers) and Cancer Immunotherapy and Biomarkers (10 papers). The work is most often cited by research in Oncology (802 citations), Cancer Research (379 citations) and Pulmonary and Respiratory Medicine (466 citations). Takeshi Sawada has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Kosei Hirakawa, Masakazu Yashiro, Michio Sowa, Satoshi Takatsuka, Yasuyuki Kato, Kiyoshi Maeda, Naoyoshi Onoda, Fumiaki Koizumi, N. Yamada and Terumichi Nakagawa. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Nature Materials.

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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