M Terada

4.9k total citations
71 papers, 4.2k citations indexed

About

M Terada is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, M Terada has authored 71 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 20 papers in Oncology and 11 papers in Genetics. Recurrent topics in M Terada's work include Cancer-related Molecular Pathways (9 papers), Cancer-related gene regulation (8 papers) and RNA modifications and cancer (8 papers). M Terada is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Cancer-related gene regulation (8 papers) and RNA modifications and cancer (8 papers). M Terada collaborates with scholars based in United Kingdom, Japan and United States. M Terada's co-authors include Takashi Sügimura, Jun Yokota, Jun Yokota, Yukío Shimosato, Y Tsunokawa, P A Marks, A Bank, H Sakamoto, Aikou Okamoto and S Hirohashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

M Terada

69 papers receiving 3.9k citations

Peers

M Terada
Comparison fields: 5 of 120
  • Molecular Biology 2.5k
  • Oncology 1.4k
  • Cancer Research 828
  • Genetics 565
  • Pathology and Forensic Medicine 533
Replace Masayoshi Namba with:
Masayoshi Namba Japan
Masaaki Terada Japan
Concepción Almoguera Spain
Catherine A. Reznikoff United States
Keith Harshman Switzerland
Ryunosuke Kanamaru Japan
W P Bennett United States
Rama Modali United States
Kathleen Forrester United States
Lee Ann Remington United States
Masayoshi Namba Japan View profile →
Citations per field, relative to M Terada
M Terada · 1×
Citations per year, relative to M Terada
M Terada · 1×

Countries citing papers authored by M Terada

Since Specialization
Citations

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

Fields of papers citing papers by M Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Terada

This figure shows the co-authorship network connecting the top 25 collaborators of M Terada. A scholar is included among the top collaborators of M Terada 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 M Terada. M Terada 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 0
2 0
3 53
4 78
5 152
6 20
7 8
8 24
9 33
10 57
11 38
12 42
13
Amplified genes in cancer in upper digestive tract.
27
14 2
15 74
16 80
17
Loss of heterozygosity on chromosome 14 in neuroblastoma.
2
18 1
19 10
20
A novel transforming gene, hst, from human stomach cancers and a non-cancerous portion of stomach mucosa.
15

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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