Mariko Yabe

2.0k citations
39 papers · 466 indexed · h-index 14

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7
    • Acute Myeloid Leukemia Research 9

Mariko Yabe

39 papers receiving 456 citations

Peers

Mariko Yabe
Comparison fields: 5 of 45
  • Genetics 138
  • Hematology 128
  • Pathology and Forensic Medicine 199
  • Dermatology 62
  • Immunology 113
Replace Anjum Hassan with:
Anjum Hassan United States
Marina Narbaitz Argentina
Silvana Capalbo Italy
Chae H. Koo United States
Hiromi Koiso Japan
Andres Quesada United States
Tariq N. Aladily Jordan
Elizabeth L. Courville United States
Carmen Lome‐Maldonado Mexico
Julie Morscio Belgium
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Citations per field
00.5×3.4×
Anjum Hassan · 1×
Citations per year

Countries citing papers authored by Mariko Yabe

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Yabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20237
4 202313
5 20201
6 202012
7 20203
8 20182
9 20175
10 201725
11 20163
12 201627
13 20165
14 201511
15 201419
16 20146
17 20131
18 200812
19 200615
20 19989

About Mariko Yabe

Mariko Yabe is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Dermatology, having authored 39 papers that have together received 466 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Histiocytic Disorders and Treatments (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Eosinophilic Disorders and Syndromes (5 papers), Cutaneous lymphoproliferative disorders research (5 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Genetics (138 citations), Hematology (128 citations), Pathology and Forensic Medicine (199 citations), Dermatology (62 citations) and Immunology (113 citations). Mariko Yabe has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include L. Jeffrey Medeiros, Roberto N. Miranda, Carlos E. Bueso‐Ramos, Ahmet Doǧan, Sa A. Wang, Ken H. Young, Eli L. Diamond, Steven M. Horwitz, Alison J. Moskowitz and Guilin Tang. Their work appears in journals such as Human Pathology, The American Journal of Surgical Pathology, British Journal of Haematology, Blood Advances and Blood.

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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