Hiroh Saji

5.6k citations
91 papers · 3.7k indexed · 1 hit paper · h-index 28

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation

Papers in

Hiroh Saji

88 papers receiving 3.6k citations

Hit Papers

A more efficient method to generate integration-free human iPS cells 2011 · 1.4k citations
1.4k20112026201620214008001.2k

Peers

Hiroh Saji
Comparison fields: 5 of 104
  • Transplantation 363
  • Hematology 1.1k
  • Immunology 1.1k
  • Genetics 264
  • Molecular Biology 1.5k
Replace Toshio Heike with:
Toshio Heike Japan
Marina Podestà Italy
Claudia Lengerke Germany
Paul J. Fairchild United Kingdom
Christopher D. Porada United States
William Tse United States
Elias Shezen Israel
Cornelia Brendel Germany
Ralf Dressel Germany
Scott Cooper United States
Hiroh Saji relative to Toshio Heike Japan Toshio Heike's profile →
Citations per field
00.5×4.8×
Toshio Heike · 1×
Citations per year

Countries citing papers authored by Hiroh Saji

Since Specialization
Citations

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

Fields of papers citing papers by Hiroh Saji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20221
2 202013
3 201826
4 201722
5 201622
6 201521
7 20122
8 201216
9 2009115
10 200813
11 200785
12 200545
13 200418
14 200312
15 200320
16 200239
17 19940
18 19937
19 19921
20 19901

About Hiroh Saji

Hiroh Saji is a scholar working on Hematology, Transplantation, Immunology, Genetics and Biochemistry, having authored 91 papers that have together received 3.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (32 papers), Hematopoietic Stem Cell Transplantation (31 papers), Immune Cell Function and Interaction (20 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Blood groups and transfusion (10 papers), Immunotherapy and Immune Responses (9 papers), Prenatal Screening and Diagnostics (9 papers) and Blood disorders and treatments (8 papers). The work is most often cited by research in Transplantation (363 citations), Hematology (1.1k citations), Immunology (1.1k citations), Genetics (264 citations) and Molecular Biology (1.5k citations). Hiroh Saji has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Etsuko Maruya, Masato Nakagawa, Keisuke Okita, Takahiro Kunisada, Koji Tanabe, Yasuko Matsumura, Yoshiko Sato, A. Okada, Masayo Takahashi and Satoshi Okamoto. Their work appears in journals such as Blood, Human Immunology, International Journal of Hematology, Vox Sanguinis and Bone Marrow Transplantation.

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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