Daisuke Takata

867 citations
35 papers · 450 indexed · h-index 11
Topics
Breast Cancer Treatment Studies (13 papers)HER2/EGFR in Cancer Research (9 papers)Cancer Treatment and Pharmacology (5 papers)
Partner nations
JapanChina

In The Last Decade

Daisuke Takata

29 papers receiving 441 citations

Peers

Daisuke Takata
Comparison fields: 5 of 71
  • Surgery 196
  • Endocrinology, Diabetes and Metabolism 187
  • Cancer Research 105
  • Oncology 88
  • Molecular Biology 77
Replace Takahiko Nakajima with:
Takahiko Nakajima Japan
Shigeharu Miwa Japan
Doina Piciu Romania
Xueyan Chen United States
Limin Lun China
Yusuke Mochizuki Japan
Qiuliang Liu China
Xianwen Zhao China
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Daisuke Takata

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Takata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Takata

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Takata. A scholar is included among the top collaborators of Daisuke Takata 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 Daisuke Takata. Daisuke Takata 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 2
2 0
3 6
4 0
5 5
6 33
7 0
8 138
9 7
10
Pathological complete response and prognosis in patients receiving neoadjuvant paclitaxel and trastuzumab with and without anthracyclines for stage II and III, HER2-positive operable breast cancer: a single-institute experience.
7
11 24
12 10
13
Neoadjuvant weekly paclitaxel with and without trastuzumab in locally advanced or metastatic breast cancer.
14
14 54
15 16
16 1
17 3
18 24
19 7
20 13

About Daisuke Takata

Daisuke Takata is a scholar working on Cancer Research, Oncology and Otorhinolaryngology, having authored 35 papers that have together received 450 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), HER2/EGFR in Cancer Research (9 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Cancer Research (105 citations) and Electrochemistry (40 citations). Daisuke Takata has collaborated with scholars based in Japan and China. Frequent co-authors include Jun Horiguchi, Tetsunari Oyama, Nana Rokutanda, Izumi Takeyoshi, Yukio Koibuchi, Atsushi Ozawa, Tetsurou Satoh, Shuichi Okada, Koshi Hashimoto and Masanobu Yamada. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Remote Sensing.

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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