Noriko Doki

3.8k citations
188 papers · 1.6k · h-index 19

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Noriko Doki

160 papers receiving 1.6k citations

Peers

Noriko Doki
Comparison fields: 5 of 93
  • Hematology 874
  • Transplantation 65
  • Genetics 194
  • Immunology 266
  • Oncology 286
Replace Éolia Brissot with:
Éolia Brissot France
Kazuteru Ohashi Japan
José L. Díez‐Martín Spain
Lorentz Brinch Norway
Ali Ünal Türkiye
Jiří Pavlů United Kingdom
Edward Kanfer United Kingdom
Hideki Nakasone Japan
Isidro Jarque Spain
Anna Paola Iori Italy
Noriko Doki relative to Éolia Brissot France Éolia Brissot's profile →
Citations per field
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Éolia Brissot · 1×
Citations per year

Countries citing papers authored by Noriko Doki

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Doki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016274
2 2014118
3 201564
4 200756
5 201050
6 201144
7 201642
8 202136
9 201531
10 201830
11 201628
12 201527
13 201325
14 201324
15 201524
16 201622
17 201621
18 202121
19 201419
20 201718

About Noriko Doki

Noriko Doki is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Genetics and Immunology, having authored 188 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (98 papers), Acute Myeloid Leukemia Research (61 papers), Acute Lymphoblastic Leukemia research (46 papers), Chronic Myeloid Leukemia Treatments (36 papers), Immune Cell Function and Interaction (21 papers), Cytomegalovirus and herpesvirus research (16 papers), Chronic Lymphocytic Leukemia Research (14 papers) and Neutropenia and Cancer Infections (13 papers). The work is most often cited by research in Hematology (874 citations), Transplantation (65 citations), Genetics (194 citations), Immunology (266 citations) and Oncology (286 citations). Noriko Doki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kazuhiko Kakihana, Kazuteru Ohashi, Yuho Najima, Hisashi Sakamaki, Yoshiko Atsuta, Takeshi Kobayashi, Takahiro Fukuda, Makoto Onizuka, Takashi Toya and Yutaro Hino. Their work appears in journals such as Bone Marrow Transplantation, International Journal of Hematology, Blood, Transplantation and Cellular Therapy and Annals of 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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