Chiaki Nakaseko

6.3k citations
166 papers · 3.5k indexed · h-index 31
  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research 35
    • Chronic Myeloid Leukemia Treatments 29
    • Hematopoietic Stem Cell Transplantation 24
    • Multiple Myeloma Research and Treatments 16
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research 24
  • Neurology top 2%
    • Peripheral Neuropathies and Disorders 20
  • Immunology top 5%
    • Eosinophilic Disorders and Syndromes 26
    • Lymphoma Diagnosis and Treatment 18

Chiaki Nakaseko

158 papers receiving 3.4k citations

Peers

Chiaki Nakaseko
Comparison fields: 5 of 103
  • Hematology 1.7k
  • Genetics 765
  • Neurology 625
  • Immunology 682
  • Rheumatology 403
Replace Αthanasios Fassas with:
Αthanasios Fassas Greece
Nikolas von Bubnoff Germany
Eyal C. Attar United States
Ann Traynor United States
Marie Parrens France
Martin Champagne Canada
Luen Bik To Australia
Berthold Streubel Austria
George E. Georges United States
Virginia C. Broudy United States
Chiaki Nakaseko relative to Αthanasios Fassas Greece Αthanasios Fassas's profile →
Citations per field
00.5×3.6×
Αthanasios Fassas · 1×
Citations per year

Countries citing papers authored by Chiaki Nakaseko

Since Specialization
Citations

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

Fields of papers citing papers by Chiaki Nakaseko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20220
4 20216
5 20214
6 20212
7 20202
8 20206
9 201912
10 201920
11 201925
12 201817
13 201823
14 201760
15 201721
16 201540
17 2013137
18 201319
19 201010
20 200868

About Chiaki Nakaseko

Chiaki Nakaseko is a scholar working on Hematology, Genetics and Rheumatology, having authored 166 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (35 papers), Chronic Myeloid Leukemia Treatments (29 papers), Eosinophilic Disorders and Syndromes (26 papers), Chronic Lymphocytic Leukemia Research (24 papers), Hematopoietic Stem Cell Transplantation (24 papers), Peripheral Neuropathies and Disorders (20 papers), Lymphoma Diagnosis and Treatment (18 papers) and Multiple Myeloma Research and Treatments (16 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (765 citations) and Neurology (625 citations). Chiaki Nakaseko has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Takashi Saito, Hiroshi Ohno, Satoshi Kuwabara, Shoichiro Miyatake, Sonoko Misawa, Emiko Sakaida, Juan S. Bonifacino, Kaichi Isono, Tooru Shiratori and Chikako Ohwada. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

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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