Mitsuru Machide

629 citations
13 papers · 543 · h-index 11

Impact in

Papers in

    • Liver physiology and pathology 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • Protein Tyrosine Phosphatases 2

Mitsuru Machide

13 papers receiving 530 citations

Peers

Mitsuru Machide
Comparison fields: 5 of 68
  • Developmental Neuroscience 71
  • Hepatology 95
  • Immunology 108
  • Immunology and Allergy 22
  • Oncology 97
Replace Sergio Anastasi with:
Sergio Anastasi Italy
Cathleen Rawson United States
Guangcun Huang China
Lihong Hou China
Ron Saulnier Canada
Cristina Caramés Spain
Hông-Van Lê Germany
Azzura Greco Italy
Kazuko Ueno Japan
Mitsuru Machide relative to Sergio Anastasi Italy Sergio Anastasi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mitsuru Machide

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Machide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010137
2
Interleukin 3 and erythropoietin induce association of Vav with Tec kinase through Tec homology domain.
199582
3 200481
4 199360
5 200649
6 200032
7 199827
8 200820
9 199218
10
[Transforming growth factor (TGF)].
199511
11 199310
12 199910
13 20026

About Mitsuru Machide

Mitsuru Machide is a scholar working on Hepatology, Molecular Biology, Oncology, Physiology and Surgery, having authored 13 papers that have together received 543 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Erythrocyte Function and Pathophysiology (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Protein Tyrosine Phosphatases (2 papers), Erythropoietin and Anemia Treatment (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Developmental Neuroscience (71 citations), Hepatology (95 citations), Immunology (108 citations), Immunology and Allergy (22 citations) and Oncology (97 citations). Mitsuru Machide has collaborated with scholars based in Japan. Frequent co-authors include Kazuo Todokoro, Toshikazu Nakamura, Kunio Matsumoto, Hiroyuki Mano, Kazuyo Kamitori, Shinichi Kohsaka, Takahiro Nakamura, Hisaharu Suzuki, Ikuroh Ohsawa and Tsutomu Igarashi. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Neurochemistry, Nature and Investigative Ophthalmology & Visual Science.

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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