Takeshi Onda

1.6k total citations
76 papers, 1.2k citations indexed

About

Takeshi Onda is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Takeshi Onda has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 23 papers in Molecular Biology and 18 papers in Oncology. Recurrent topics in Takeshi Onda's work include Oral and Maxillofacial Pathology (12 papers), Head and Neck Cancer Studies (7 papers) and Salivary Gland Tumors Diagnosis and Treatment (7 papers). Takeshi Onda is often cited by papers focused on Oral and Maxillofacial Pathology (12 papers), Head and Neck Cancer Studies (7 papers) and Salivary Gland Tumors Diagnosis and Treatment (7 papers). Takeshi Onda collaborates with scholars based in Japan, United States and Australia. Takeshi Onda's co-authors include Takahiko Shibahara, Katsuhiro Uzawa, Hidetaka Yokoe, Tetsuya Hamaguchi, Masayuki Kitagawa, Yasuhiro Matsumura, Takahito Negishi, Fumiaki Koizumi, Shin-ichi Matsumoto and Hideki Tanzawa and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Takeshi Onda

65 papers receiving 1.1k citations

Peers

Takeshi Onda
Comparison fields: 5 of 108
  • Molecular Biology 550
  • Oncology 261
  • Pulmonary and Respiratory Medicine 175
  • Biomaterials 168
  • Biomedical Engineering 154
Replace Yun Hu with:
Yun Hu China
Xi Yang China
Wei Du China
Chu-Tse Wu China
Philipp Mayer‐Kuckuk United States
Masako Oka Japan
Shengyun Huang China
Li Teng China
Fazhi Qi China
Dongwang Zhu China
Yun Hu China View profile →
Citations per field, relative to Takeshi Onda
Takeshi Onda · 1×
Citations per year, relative to Takeshi Onda
Takeshi Onda · 1×

Countries citing papers authored by Takeshi Onda

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Onda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Onda

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Onda. A scholar is included among the top collaborators of Takeshi Onda 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 Onda. Takeshi Onda 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 0
4 12
5 16
6
Effects of Topical Hangeshashinto (TJ-14) on Chemotherapy-Induced Oral Mucositis
1
7 3
8 10
9 1
10 53
11 1
12 97
13 23
14
Marked antitumor activity of NK012, 7-ethyl-10-hydroxycamptothecin-incorporating micellar nanoparticle, in liver metastatic tumor model of colorectal cancer
1
15
Superior antitumor activity of NK012, 7-ethyl-10-hydroxycamptothecin-incorporating micellar nanoparticle, to irinotecan
3
16 56
17 3
18 11
19 22
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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