Eri Matsuki

694 citations
41 papers · 492 indexed · h-index 11

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 14
    • Chronic Lymphocytic Leukemia Research 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4

Eri Matsuki

39 papers receiving 480 citations

Peers

Eri Matsuki
Comparison fields: 5 of 63
  • Hematology 153
  • Genetics 127
  • Oncology 249
  • Pathology and Forensic Medicine 134
  • Immunology 132
Replace Bhausaheb Bagal with:
Bhausaheb Bagal India
Mike Leach United Kingdom
Laura Magnano Spain
Tadahiko Igarashi Japan
Rama Al Hamed France
Saurabh Zanwar United States
Isabelle Genvresse Germany
Abdul Hamid Bazarbachi United States
Marcin Pasiarski Poland
Calogero Vetro Italy
Eri Matsuki relative to Bhausaheb Bagal India Bhausaheb Bagal's profile →
Citations per field
00.5×
Bhausaheb Bagal · 1×
Citations per year

Countries citing papers authored by Eri Matsuki

Since Specialization
Citations

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

Fields of papers citing papers by Eri Matsuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015184
2 201651
3 201526
4 201319
5 201917
6 201816
7 202215
8 201114
9 201212
10 201712
11 201212
12 201110
13 20119
14 20229
15 20148
16 20168
17 20178
18 20117
19 20157
20 20216

About Eri Matsuki

Eri Matsuki is a scholar working on Hematology, Genetics, Oncology, Rheumatology and Pathology and Forensic Medicine, having authored 41 papers that have together received 492 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (11 papers), Eosinophilic Disorders and Syndromes (9 papers), Immune Cell Function and Interaction (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Acute Lymphoblastic Leukemia research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Hematology (153 citations), Genetics (127 citations), Oncology (249 citations), Pathology and Forensic Medicine (134 citations) and Immunology (132 citations). Eri Matsuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Anas Younes, Renier J. Brentjens, Connie Lee Batlevi, Shinichiro Okamoto, Kenji Yokoyama, Takayuki Shimizu, Masatoshi Sakurai, Yoshitaka Miyakawa, Tomomi Toubai and Daniel Peltier. Their work appears in journals such as Blood, International Journal of Hematology, Blood Cancer Journal, Cancer and Clinical Cancer 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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