Akitaka Suzuki

913 total citations
15 papers, 314 citations indexed

About

Akitaka Suzuki is a scholar working on Hematology, Surgery and Epidemiology. According to data from OpenAlex, Akitaka Suzuki has authored 15 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Akitaka Suzuki's work include Acute Myeloid Leukemia Research (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Pelvic floor disorders treatments (2 papers). Akitaka Suzuki is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Pelvic floor disorders treatments (2 papers). Akitaka Suzuki collaborates with scholars based in Japan and Switzerland. Akitaka Suzuki's co-authors include S. Kundu, Donald M. Marcus, Kazuma Ohyashiki, Yoshikazu Ito, T Fujino, Takuro Nakamura, Ikuo Miura, Yoshiaki Hatano, Kenji Abe and Kohtaro Yamamoto and has published in prestigious journals such as Blood, British Journal of Haematology and Bone Marrow Transplantation.

In The Last Decade

Akitaka Suzuki

14 papers receiving 296 citations

Peers

Akitaka Suzuki
Comparison fields: 5 of 47
  • Molecular Biology 150
  • Hematology 99
  • Epidemiology 71
  • Oncology 46
  • Physiology 38
Replace Yukitsugu Nakamura with:
Yukitsugu Nakamura Japan
Lola Svensson Sweden
Randi Sandin Norway
Françoise Cormont Belgium
Shigeru Yamaga Japan
Jason X. Cheng United States
Britt Thuresson Sweden
Erwan Boedec France
Susanne Rohrer Switzerland
Elaine O Costelloe Australia
Yukitsugu Nakamura Japan View profile →
Citations per field, relative to Akitaka Suzuki
Akitaka Suzuki · 1×
Citations per year, relative to Akitaka Suzuki
Akitaka Suzuki · 1×

Countries citing papers authored by Akitaka Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Akitaka Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akitaka Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Akitaka Suzuki. A scholar is included among the top collaborators of Akitaka Suzuki 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 Akitaka Suzuki. Akitaka Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 6
6 25
7 63
8 18
9 13
10
Trisomy 11 acute myeloid leukemia: 5 additional cases from the Japan Adult Leukemia Study Group AML-92 and AML-95 databases.
2
11 8
12 22
13 17
14 5
15
The P blood group system: recent progress in immunochemistry and genetics.
132

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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2026