Daisuke Takata

867 citations
35 papers · 450 · h-index 11

Impact in

Papers in

    • HER2/EGFR in Cancer Research 9
    • Cancer Treatment and Pharmacology 5
    • Cancer Diagnosis and Treatment 4
    • Breast Cancer Treatment Studies 13

Daisuke Takata

29 papers receiving 441 citations

Peers

Daisuke Takata
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 187
  • Cancer Research 105
  • Electrochemistry 40
  • Analytical Chemistry 53
  • Surgery 196
Replace Takahiko Nakajima with:
Takahiko Nakajima Japan
Shigeharu Miwa Japan
Doina Piciu Romania
Xueyan Chen United States
Limin Lun China
Yusuke Mochizuki Japan
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Citations per field
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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-authors

The 25 scholars most cited alongside Daisuke Takata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Takata Line = papers co-authored together Daisuke Takata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 200954
3 201633
4 201425
5 201124
6 200524
7 201621
8 200816
9
Neoadjuvant weekly paclitaxel with and without trastuzumab in locally advanced or metastatic breast cancer.
200914
10 200313
11
Local control by breast-conserving surgery with nipple resection.
200513
12 201110
13
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.
20117
14 20127
15 20057
16
Clinicopathological Features of Cases with Primary Breast Cancer not Identified by 18F-FDG-PET.
20167
17 20236
18 20215
19 20024
20 20124

About Daisuke Takata

Daisuke Takata is a scholar working on Oncology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, 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), Cancer Treatment and Pharmacology (5 papers), Cancer Diagnosis and Treatment (4 papers), Breast Lesions and Carcinomas (4 papers), Hormonal Regulation and Hypertension (3 papers), Brain Metastases and Treatment (3 papers) and Adrenal and Paraganglionic Tumors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Cancer Research (105 citations), Electrochemistry (40 citations), Analytical Chemistry (53 citations) and Surgery (196 citations). Daisuke Takata has collaborated with scholars based in Japan and China. Frequent co-authors include Jun Horiguchi, Tetsunari Oyama, Nana Rokutanda, Yukio Koibuchi, Izumi Takeyoshi, Yasuyo Nakajima, Masanobu Yamada, Atsushi Ozawa, Shuichi Okada and Koshi Hashimoto. Their work appears in journals such as Breast Cancer, Anticancer Research, Cancer Research, Oncology Reports and The Journal of Clinical Endocrinology & Metabolism.

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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