Mie Uchida

698 citations
13 papers · 593 · h-index 10

Impact in

  • Hematology top 5%
    • Erythropoietin and Anemia Treatment
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%

Papers in

    • FOXO transcription factor regulation 5
    • Signaling Pathways in Disease 5
    • Cell death mechanisms and regulation 4
    • Glycosylation and Glycoproteins Research 1
    • Cytokine Signaling Pathways and Interactions 4

Mie Uchida

13 papers receiving 583 citations

Peers

Mie Uchida
Comparison fields: 5 of 58
  • Hematology 239
  • Genetics 118
  • Aging 21
  • Oncology 165
  • Molecular Biology 307
Replace Martine Parren-van Amelsvoort with:
Martine Parren-van Amelsvoort Netherlands
Dolores Mahmud United States
Zahra Kadri France
Valérie Camara‐Clayette France
Catherine A. Gallo United States
Søren M. Johnson United States
Matias Casás‐Selves United States
Thomas Strömberg Sweden
Nicolas Papadopoulos Belgium
Mie Uchida relative to Martine Parren-van Amelsvoort Netherlands Martine Parren-van Amelsvoort's profile →
Citations per field
00.5×1.5×
Martine Parren-van Amelsvoort · 1×
Citations per year

Countries citing papers authored by Mie Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Mie Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000136
2 200397
3 200270
4 200362
5 199760
6 199743
7 200143
8 199835
9 200123
10 200012
11 20048
12 20072
13 19982

About Mie Uchida

Mie Uchida is a scholar working on Molecular Biology, Oncology, Pharmacology, Genetics and Hematology, having authored 13 papers that have together received 593 indexed citations. Recurring topics across this work include FOXO transcription factor regulation (5 papers), Signaling Pathways in Disease (5 papers), Cell death mechanisms and regulation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Pharmacological Effects of Natural Compounds (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (239 citations), Genetics (118 citations), Aging (21 citations), Oncology (165 citations) and Molecular Biology (307 citations). Mie Uchida has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Norio Komatsu, Keita Kirito, Keiya Ozawa, Yasusada Miura, Tomoko Watanabe, Masaru Tanaka, Masaki Mori, Minami Yamada, Kenichi Sawada and Koichi Nakajima. Their work appears in journals such as Blood, Journal of Biological Chemistry, International Journal of Hematology, Journal of Cellular Physiology and Stem Cells.

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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