Toru Hanamura

710 citations
38 papers · 500 indexed · h-index 14
Topics
Estrogen and related hormone effects (13 papers)Breast Cancer Treatment Studies (7 papers)HER2/EGFR in Cancer Research (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Toru Hanamura

34 papers receiving 495 citations

Peers

Toru Hanamura
Comparison fields: 5 of 60
  • Oncology 203
  • Genetics 197
  • Molecular Biology 151
  • Pulmonary and Respiratory Medicine 121
  • Endocrinology, Diabetes and Metabolism 121
Replace David Masiello with:
David Masiello United States
Sandeep Kumar Parvathareddy Saudi Arabia
Lavina Bharwani Singapore
Valentina Rossi Italy
Dagmara Rusinek Poland
Daizo Oka Japan
H Harvey United States
Rana Sullivan United States
Kuo-Pao Lai Taiwan
Cai Bowen United States
Toru Hanamura relative to David Masiello United States David Masiello's profile →
Citations per field
00.5×3.9×
David Masiello · 1×
Citations per year

Countries citing papers authored by Toru Hanamura

Since Specialization
Citations

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

Fields of papers citing papers by Toru Hanamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Hanamura

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Hanamura. A scholar is included among the top collaborators of Toru Hanamura 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 Toru Hanamura. Toru Hanamura 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 5
2 12
3 0
4 9
5 11
6 35
7 6
8 21
9 8
10 48
11 17
12 23
13 26
14 31
15
[Encounter of cancer cells with bone. Development of bone metastasis-specific targeting therapy].
1
16 87
17 2
18 5
19 2
20 1

About Toru Hanamura

Toru Hanamura is a scholar working on Oncology, Genetics and Cancer Research, having authored 38 papers that have together received 500 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Breast Cancer Treatment Studies (7 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Oncology (203 citations), Endocrinology, Diabetes and Metabolism (121 citations) and Genetics (197 citations). Toru Hanamura has collaborated with scholars based in Japan and United States. Frequent co-authors include Shin‐ichi Hayashi, Yuri Yamaguchi, Toshimitsu Niwa, Ken‐ichi Ito, Kazuma Maeno, Tokiko Ito, Toshiharu Kanai, Yasuhiro Mochizuki, Toshihiro Okada and Hiroshi Koyama. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific Reports.

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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