Marito Araki

3.6k total citations · 1 hit paper
60 papers, 2.6k citations indexed

About

Marito Araki is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Marito Araki has authored 60 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 37 papers in Genetics and 30 papers in Hematology. Recurrent topics in Marito Araki's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (35 papers), Kruppel-like factors research (26 papers) and Acute Myeloid Leukemia Research (18 papers). Marito Araki is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (35 papers), Kruppel-like factors research (26 papers) and Acute Myeloid Leukemia Research (18 papers). Marito Araki collaborates with scholars based in Japan, United States and Singapore. Marito Araki's co-authors include Chikahide Masutani, Rika Kusumoto, Ayumi Yamada, Shigenori Iwai, Masayuki Yokoi, Mayumi Yuasa, Koji Takio, Naoshi Dohmae, Norio Komatsu and Fumio Hanaoka and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marito Araki

55 papers receiving 2.6k citations

Hit Papers

The XPV (xeroderma pigmentosum variant) gene encodes huma... 1999 2026 2008 2017 1999 250 500 750 1000

Peers

Marito Araki
Comparison fields: 5 of 94
  • Molecular Biology 2.2k
  • Cancer Research 588
  • Genetics 488
  • Hematology 389
  • Cell Biology 304
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Citations per field, relative to Marito Araki
Marito Araki · 1×
Citations per year, relative to Marito Araki
Marito Araki · 1×

Countries citing papers authored by Marito Araki

Since Specialization
Citations

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

Fields of papers citing papers by Marito Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marito Araki

This figure shows the co-authorship network connecting the top 25 collaborators of Marito Araki. A scholar is included among the top collaborators of Marito Araki 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 Marito Araki. Marito Araki 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 1
2 4
3 2
4 0
5 9
6 8
7 43
8 194
9 12
10 7
11 10
12 24
13 20
14 29
15 44
16 101
17 32
18
Efficient bypass of a thymine-thymine dimer by yeast DNA polymerase, pol ηThe XPV (xeroderma pigmentosum variant) gene encodes human DNA polymerase ηhRAD30 mutations in the variant form of xeroderma pigmentosum
1
19
The XPV (xeroderma pigmentosum variant) gene encodes human DNA polymerase η breakdown →
1098
20 89

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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