Hoshio Hiraide

3.6k citations
89 papers · 3.0k indexed · h-index 31
Topics
Immune Cell Function and Interaction (25 papers)T-cell and B-cell Immunology (15 papers)Immune Response and Inflammation (14 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Hoshio Hiraide

88 papers receiving 3.0k citations

Peers

Hoshio Hiraide
Comparison fields: 5 of 104
  • Immunology 1.6k
  • Oncology 598
  • Molecular Biology 553
  • Epidemiology 491
  • Surgery 420
Replace Carol de la Motte with:
Carol de la Motte United States
Ulf Panzer Germany
Pietro Di Lucia Italy
Stefania Vetrano Italy
Christine Brostjan Austria
Karl-Hermann Meyer zum Büschenfelde Germany
Ana M. Gamero United States
Eitan Shiloni Israel
Lester T. May United States
Xinshou Ouyang United States
Hoshio Hiraide relative to Carol de la Motte United States Carol de la Motte's profile →
Citations per field
00.5×1.5×
Carol de la Motte · 1×
Citations per year

Countries citing papers authored by Hoshio Hiraide

Since Specialization
Citations

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

Fields of papers citing papers by Hoshio Hiraide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hoshio Hiraide

This figure shows the co-authorship network connecting the top 25 collaborators of Hoshio Hiraide. A scholar is included among the top collaborators of Hoshio Hiraide 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 Hoshio Hiraide. Hoshio Hiraide 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 25
2 28
3 40
4 14
5 4
6 18
7 23
8 11
9 86
10 35
11 20
12 36
13
[Sentinel lymph node (SLN) in breast cancer: prediction of axillary metastasis confined to the SLN spares patients further axillary dissection].
1
14 62
15 11
16 38
17 41
18 21
19 1
20 1

About Hoshio Hiraide

Hoshio Hiraide is a scholar working on Immunology, Cancer Research and Oncology, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (15 papers) and Immune Response and Inflammation (14 papers). The work is most often cited by research in Immunology (1.6k citations), Hepatology (246 citations) and Oncology (598 citations). Hoshio Hiraide has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shuhji Seki, Hidetaka Mochizuki, Yoshiko Habu, Takashi Ohkawa, Kazuyoshi Takeda, Hiroshi Dobashi, Manabu Kinoshita, Kuniyoshi Tamaki, Takashi Majima and Katsunori Ami. Their work appears in journals such as The Journal of Immunology, Hepatology and JNCI Journal of the National Cancer Institute.

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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