Aki Sato

944 citations
47 papers · 472 · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Acute Myeloid Leukemia Research 4
    • Polyomavirus and related diseases 3

Aki Sato

46 papers receiving 466 citations

Peers

Aki Sato
Comparison fields: 5 of 85
  • Hematology 174
  • Genetics 60
  • Transplantation 10
  • Cancer Research 55
  • Oncology 90
Replace Inés Gómez‐Seguí with:
Inés Gómez‐Seguí Spain
Lynn O’Donnell United States
Yuichi Ariyoshi Japan
Mei Guo China
Maria Domenica Simone Italy
Yunze Cui Japan
Hoàng Anh Vũ Vietnam
Motoko Koyama United States
Martina Serra Italy
Alessandra Petrelli Italy
Aki Sato relative to Inés Gómez‐Seguí Spain Inés Gómez‐Seguí's profile →
Citations per field
00.5×1.5×2.1×
Inés Gómez‐Seguí · 1×
Citations per year

Countries citing papers authored by Aki Sato

Since Specialization
Citations

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

Fields of papers citing papers by Aki Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aki Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aki Sato Line = papers co-authored together Aki Sato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201262
2 201442
3 200842
4 201240
5 201431
6 200730
7 200820
8 201019
9 201318
10 201816
11 200715
12 200812
13 202110
14 20219
15 20089
16
Reflex responses of bladder motility after stimulation of interspinous tissues in the anesthetized rat.
19999
17 20088
18 20238
19 20117
20 20216

About Aki Sato

Aki Sato is a scholar working on Hematology, Oncology, Neurology, Immunology and Molecular Biology, having authored 47 papers that have together received 472 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Acute Myeloid Leukemia Research (4 papers), Polyomavirus and related diseases (3 papers), Oral and Maxillofacial Pathology (3 papers), Mesenchymal stem cell research (3 papers), Immune Cell Function and Interaction (3 papers), Vector-Borne Animal Diseases (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Hematology (174 citations), Genetics (60 citations), Transplantation (10 citations), Cancer Research (55 citations) and Oncology (90 citations). Aki Sato has collaborated with scholars based in Japan, India and United Kingdom. Frequent co-authors include Arinobu Tojo, Satoshi Takahashi, Jun Ooi, Akira Tomonari, Takaaki Konuma, Beate Heissig, Chiemi Nishida, Hiromitsu Nakauchi, Koichi Hattori and Yoshihiko Tashiro. Their work appears in journals such as Bone Marrow Transplantation, Blood, Neuropathology, Biology of Blood and Marrow Transplantation and Experimental Hematology.

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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