Takashi Murate

4.6k total citations
137 papers, 3.5k citations indexed

About

Takashi Murate is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Takashi Murate has authored 137 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 40 papers in Hematology and 22 papers in Genetics. Recurrent topics in Takashi Murate's work include Sphingolipid Metabolism and Signaling (30 papers), Erythrocyte Function and Pathophysiology (15 papers) and Blood Coagulation and Thrombosis Mechanisms (14 papers). Takashi Murate is often cited by papers focused on Sphingolipid Metabolism and Signaling (30 papers), Erythrocyte Function and Pathophysiology (15 papers) and Blood Coagulation and Thrombosis Mechanisms (14 papers). Takashi Murate collaborates with scholars based in Japan, United States and Australia. Takashi Murate's co-authors include Hidehiko Saito, Tetsuhito Kojima, Akira Takagi, Yoshiko Banno, Tomohiro Kinoshita, Tomomitsu Hotta, Toshiki Uchida, Masatoshi Ichihara, Motoshi Suzuki and Yoshinori Nozawa and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Takashi Murate

137 papers receiving 3.5k citations

Peers

Takashi Murate
Comparison fields: 5 of 111
  • Molecular Biology 2.0k
  • Hematology 944
  • Oncology 527
  • Genetics 504
  • Cell Biology 467
Replace Weiping Yuan with:
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Julie A. Vrana United States
Wadie F. Bahou United States
Tsukasa Ohmori Japan
Koichiro Mihara Canada
Amittha Wickrema United States
Carl W. Jackson United States
Saghi Ghaffari United States
Françoise Bono France
Weiping Yuan China View profile →
Citations per field, relative to Takashi Murate
Takashi Murate · 1×
Citations per year, relative to Takashi Murate
Takashi Murate · 1×

Countries citing papers authored by Takashi Murate

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Murate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Murate

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Murate. A scholar is included among the top collaborators of Takashi Murate based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takashi Murate. Takashi Murate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 29
3 7
4
Involvement of KRAS G12A mutation in the IL-2-independent growth of a human T-LGL leukemia cell line, PLT-2.
7
5 6
6 22
7 15
8 53
9 7
10 54
11 16
12 8
13 102
14 8
15 18
16 126
17 51
18 67
19 12
20
Cytogenetic and clonal culture evaluation after response to low dose Ara-C in myelodysplastic syndromes.
2

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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