Yuichi Takatsuka

2.3k citations
91 papers · 1.7k indexed · h-index 22
Topics
Breast Cancer Treatment Studies (43 papers)Cancer Treatment and Pharmacology (23 papers)HER2/EGFR in Cancer Research (18 papers)

In The Last Decade

Yuichi Takatsuka

86 papers receiving 1.6k citations

Peers

Yuichi Takatsuka
Comparison fields: 5 of 89
  • Oncology 940
  • Cancer Research 707
  • Genetics 371
  • Molecular Biology 306
  • Pathology and Forensic Medicine 276
Replace John F. Sandbach with:
John F. Sandbach United States
M Francoual France
Marie-Christine Étienne-Grimaldi France
G. N. Hortobágyi United States
Laura Orlando Italy
Morten Mau‐Sørensen Denmark
Marie‐Christine Mathieu France
Peter Ang Singapore
Debra Frye United States
Silvia Dellapasqua Italy
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Citations per field
00.5×1.5×
John F. Sandbach · 1×
Citations per year

Countries citing papers authored by Yuichi Takatsuka

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Takatsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Takatsuka

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Takatsuka. A scholar is included among the top collaborators of Yuichi Takatsuka 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 Yuichi Takatsuka. Yuichi Takatsuka 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 44
2
Spontaneous regression of primary extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma) colliding with invasive ductal carcinoma of the breast: a case report.
2
3 10
4 35
5 6
6 4
7 6
8 3
9 34
10 8
11 9
12 12
13 28
14 2
15 17
16 10
17 1
18 4
19 63
20 2

About Yuichi Takatsuka

Yuichi Takatsuka is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (43 papers), Cancer Treatment and Pharmacology (23 papers) and HER2/EGFR in Cancer Research (18 papers). The work is most often cited by research in Cancer Research (707 citations), Oncology (940 citations) and Pharmacology (186 citations). Yuichi Takatsuka has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Shinzaburo Noguchi, Tomohiko Aihara, José Bines, Pierre Dubé, Katarína Petráková, Aman U. Buzdar, Luigi Cataliotti, Célia Tosello Oliveira, Hideo Morino and Nobuteru Kikkawa. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Journal of Power Sources.

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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