T. Nagase

926 citations
11 papers · 774 indexed · h-index 9
  • Cell Biology top 10%
    • RNA and protein synthesis mechanisms 8
    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • Genomics and Phylogenetic Studies 4
    • Machine Learning in Bioinformatics 2
    • Genomics and Chromatin Dynamics 2
  • Genetics top 10%
    • Cholesterol and Lipid Metabolism 1
    • Drug Transport and Resistance Mechanisms 1

T. Nagase

11 papers receiving 765 citations

Peers

T. Nagase
Comparison fields: 5 of 82
  • Cell Biology 135
  • Molecular Biology 533
  • Aging 12
  • Genetics 185
  • Biochemistry 41
Replace Ami A. Deora with:
Ami A. Deora United States
John P. Incardona United States
Angelo Notarangelo Italy
Soonjung L. Hahn United States
Marie-Pierre Leibovitch France
Elisabetta Flex Italy
Yan‐Ning Rui United States
Ortal Barel Israel
Yuji Funakoshi Japan
Marc‐Étienne Huot Canada
T. Nagase relative to Ami A. Deora United States Ami A. Deora's profile →
Citations per field
00.5×2.6×
Ami A. Deora · 1×
Citations per year

Countries citing papers authored by T. Nagase

Since Specialization
Citations

This map shows the geographic impact of T. Nagase'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 T. Nagase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nagase more than expected).

Fields of papers citing papers by T. Nagase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside T. Nagase, 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 T. Nagase Line = papers co-authored together T. Nagase links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200614
2 20057
3 200182
4 2001116
5 200143
6 200135
7 200083
8 2000108
9 200080
10 1996199
11 19957

About T. Nagase

T. Nagase is a scholar working on Molecular Biology, Oncology and Surgery, having authored 11 papers that have together received 774 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Chromatin Dynamics (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Cell Biology (135 citations), Molecular Biology (533 citations) and Aging (12 citations). T. Nagase has collaborated with scholars based in Japan and France. Frequent co-authors include Akinori Kidera, Noriyuki Kioka, Teruo Amachi, Yuika Ikeda, Reijiro Arakawa, Arowu R. Tanaka, Sumiko Abe-Dohmae, Ryo Aoki, Kazumitsu Ueda and Satoshi Nakagawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, DNA Research and Briefings in Functional Genomics and Proteomics.

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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