Akiko Noma

3.0k total citations
18 papers, 1.2k citations indexed

About

Akiko Noma is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Akiko Noma has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Surgery. Recurrent topics in Akiko Noma's work include RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (11 papers) and Cancer-related gene regulation (5 papers). Akiko Noma is often cited by papers focused on RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (11 papers) and Cancer-related gene regulation (5 papers). Akiko Noma collaborates with scholars based in Japan, United States and France. Akiko Noma's co-authors include Tsutomu Suzuki, Yuriko Sakaguchi, Yoshiho Ikeuchi, Yohei Kirino, Ryuichiro Ishitani, Osamu Nureki, Takeo Suzuki, Megumi Kato, Asuteka Nagao and Vahbiz Jokhi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Akiko Noma

17 papers receiving 1.1k citations

Peers

Akiko Noma
Comparison fields: 5 of 77
  • Molecular Biology 1.0k
  • Renewable Energy, Sustainability and the Environment 139
  • Oncology 104
  • Cancer Research 97
  • Inorganic Chemistry 64
Replace Colin H. Lipper with:
Colin H. Lipper United States
Heide Marika Genau Germany
Nadia Terziyska Germany
Uwe Bertsch Germany
Nikola Mesecke Germany
Carsten Bornhövd Germany
Isla Ogilvie United States
Marco Nooteboom Netherlands
Eugene Hayato Morita Japan
Helge Uhrigshardt United States
Colin H. Lipper United States View profile →
Citations per field, relative to Akiko Noma
Akiko Noma · 1×
Citations per year, relative to Akiko Noma
Akiko Noma · 1×

Countries citing papers authored by Akiko Noma

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Noma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Noma

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Noma. A scholar is included among the top collaborators of Akiko Noma 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 Akiko Noma. Akiko Noma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 99
3 113
4 12
5 59
6 45
7 67
8 61
9 187
10 29
11 41
12 115
13 56
14 38
15 15
16 173
17 38
18 3

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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