Aiko Kida

404 citations
13 papers · 295 · h-index 10

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Aiko Kida

13 papers receiving 288 citations

Peers

Aiko Kida
Comparison fields: 5 of 55
  • Hematology 138
  • Transplantation 19
  • Genetics 38
  • Pediatrics, Perinatology and Child Health 55
  • Oncology 73
Replace Takashi Fukuhara with:
Takashi Fukuhara Japan
Katalin Csordás Hungary
Blanca Molina Spain
Aimee Hammerstrom United States
Shin Sh South Korea
Nobuyuki Hyakuna Japan
H. J. Van Beusekom Netherlands
F D'Adamo Italy
Sujata Gaitonde United States
J.R. Kendra United Kingdom
Aiko Kida relative to Takashi Fukuhara Japan Takashi Fukuhara's profile →
Citations per field
00.5×3.3×
Takashi Fukuhara · 1×
Citations per year

Countries citing papers authored by Aiko Kida

Since Specialization
Citations

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

Fields of papers citing papers by Aiko Kida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201361
2 201161
3 200640
4 200436
5 200422
6 201416
7 200215
8 200414
9 201211
10 200110
11 20017
12 20071
13
Busulfan and melphalan as a conditioning regimen for second peripheral blood stem cell transplantation in relapsed acute lymphoblastic leukaemia after initial transplantation with total-body irradiation
20051

About Aiko Kida

Aiko Kida is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Oncology, having authored 13 papers that have together received 295 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Hemoglobinopathies and Related Disorders (2 papers), Bone and Joint Diseases (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Oral and gingival health research (1 paper). The work is most often cited by research in Hematology (138 citations), Transplantation (19 citations), Genetics (38 citations), Pediatrics, Perinatology and Child Health (55 citations) and Oncology (73 citations). Aiko Kida has collaborated with scholars based in Japan and United States. Frequent co-authors include George B. McDonald, Jeannine S. McCune, Andrew R. Rezvani, H. Joachim Deeg, Ami Batchelder, Barry E. Storer, Katsuya Yamamoto, Hiroyuki Hamaguchi, Kaoru Nagata and Michaël Kahn. Their work appears in journals such as Biology of Blood and Marrow Transplantation, International Journal of Hematology, Seminars in Hematology, British Journal of Haematology and Pathology & Oncology Research.

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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