Sawa Ito

2.4k citations
71 papers · 1.2k indexed · h-index 18

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 25
    • Acute Myeloid Leukemia Research 15
    • Mesenchymal stem cell research 6

Sawa Ito

63 papers receiving 1.2k citations

Peers

Sawa Ito
Comparison fields: 5 of 88
  • Hematology 466
  • Genetics 288
  • Immunology 466
  • Oncology 235
  • Rheumatology 93
Replace Deog‐Yeon Jo with:
Deog‐Yeon Jo South Korea
Fumihiko Ishimaru Japan
Maurizio Miglino Italy
Carlos Panizo Spain
Pilar Hernández-Campo Spain
María Luz Sánchez Spain
Scott T. Avecilla United States
Pasquale Iacopino Italy
Jérôme Rey France
Mojtaba Akhtari United States
Sawa Ito relative to Deog‐Yeon Jo South Korea Deog‐Yeon Jo's profile →
Citations per field
00.5×1.5×1.9×
Deog‐Yeon Jo · 1×
Citations per year

Countries citing papers authored by Sawa Ito

Since Specialization
Citations

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

Fields of papers citing papers by Sawa Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sawa Ito, 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 Sawa Ito Line = papers co-authored together Sawa Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20233
5 20231
6 20234
7 20204
8 201833
9 20177
10 20175
11 20160
12 201539
13 20155
14 2014145
15 201454
16 20130
17 201379
18 20121
19 201218
20 200738

About Sawa Ito

Sawa Ito is a scholar working on Hematology, Genetics, Immunology, Oncology and Physiology, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (25 papers), Immune Cell Function and Interaction (19 papers), CAR-T cell therapy research (16 papers), Acute Myeloid Leukemia Research (15 papers), Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (8 papers), Cytomegalovirus and herpesvirus research (8 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Hematology (466 citations), Genetics (288 citations), Immunology (466 citations), Oncology (235 citations) and Rheumatology (93 citations). Sawa Ito has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include A. John Barrett, Minoo Battiwalla, A. John Barrett, Pawel Muranski, Nancy F. Hensel, Keyvan Keyvanfar, Xingmin Feng, Sachiko Kajigaya, Neal S. Young and Priyanka A. Pophali. Their work appears in journals such as Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Cytotherapy and Blood Advances.

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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