Kazutoshi Aoyama

1.5k citations
28 papers · 527 indexed · h-index 9
Topics
Hematopoietic Stem Cell Transplantation (11 papers)Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (7 papers)

In The Last Decade

Kazutoshi Aoyama

24 papers receiving 524 citations

Peers

Kazutoshi Aoyama
Comparison fields: 5 of 64
  • Immunology 304
  • Hematology 254
  • Oncology 135
  • Molecular Biology 106
  • Pediatrics, Perinatology and Child Health 46
Replace Motoko Koyama with:
Motoko Koyama United States
Robert Danby United Kingdom
Heather E. Stefanski United States
R. Hintermeíer-Knabe Germany
Andreza Alice Feitosa Ribeiro Brazil
Zoya Kuzmina Austria
Iwona Auer-Grzesiak Canada
Kazuhiro Mochizuki Japan
Jeremy J. Racine United States
Kazutoshi Aoyama relative to Motoko Koyama United States Motoko Koyama's profile →
Citations per field
00.5×1.5×2.1×
Motoko Koyama · 1×
Citations per year

Countries citing papers authored by Kazutoshi Aoyama

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Aoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Aoyama

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Aoyama. A scholar is included among the top collaborators of Kazutoshi Aoyama 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 Kazutoshi Aoyama. Kazutoshi Aoyama 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 1
2 0
3 1
4 2
5 8
6 6
7 12
8 0
9 3
10 1
11 8
12 129
13 108
14 5
15 6
16 37
17 33
18 28
19
[Bowel perforation due to metastatic lung cancer: a case report].
3
20 9

About Kazutoshi Aoyama

Kazutoshi Aoyama is a scholar working on Hematology, Business and International Management and Immunology, having authored 28 papers that have together received 527 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Hematology (254 citations), Immunology (304 citations) and Oncology (135 citations). Kazutoshi Aoyama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takanori Teshima, Koichi Akashi, Motoko Koyama, Mitsune Tanimoto, Ken‐ichi Matsuoka, Daigo Hashimoto, Masanori Kadowaki, Takeshi Oshima, Kazuma Tomizuka and Shuichiro Takashima. Their work appears in journals such as The Journal of Experimental Medicine, Blood and European Journal of Immunology.

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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