Naohiro Terada

12.1k total citations · 1 hit paper
158 papers, 9.7k citations indexed

About

Naohiro Terada is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Naohiro Terada has authored 158 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 31 papers in Immunology and 23 papers in Genetics. Recurrent topics in Naohiro Terada's work include Pluripotent Stem Cells Research (38 papers), CRISPR and Genetic Engineering (30 papers) and Immune Cell Function and Interaction (19 papers). Naohiro Terada is often cited by papers focused on Pluripotent Stem Cells Research (38 papers), CRISPR and Genetic Engineering (30 papers) and Immune Cell Function and Interaction (19 papers). Naohiro Terada collaborates with scholars based in United States, Japan and China. Naohiro Terada's co-authors include Takashi Hamazaki, Erwin W. Gelfand, Masahiro Oka, Philip J. Papst, Gary L. Johnson, Yuka Nakano, Edwin M. Meyer, Bryon E. Petersen, Laurence Morel and Edward W. Scott and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Naohiro Terada

157 papers receiving 9.6k citations

Hit Papers

Bone marrow cells adopt the phenotype of other cells by s... 2002 2026 2010 2018 2002 500 1000 1.5k

Peers

Naohiro Terada
Comparison fields: 5 of 142
  • Molecular Biology 6.5k
  • Surgery 1.9k
  • Immunology 1.3k
  • Genetics 1.3k
  • Oncology 1.1k
Replace Antonia Follenzi with:
Antonia Follenzi Italy
Daniel F. Bowen‐Pope United States
Todd Evans United States
Hirofumi Hamada Japan
Atsushi Iwama Japan
Jennifer LeCouter United States
Joanne E. Murphy-Ullrich United States
Jean‐Jacques Feige France
Lars Rönnstrand Sweden
Makoto Naito Japan
Antonia Follenzi Italy View profile →
Citations per field, relative to Naohiro Terada
Naohiro Terada · 1×
Citations per year, relative to Naohiro Terada
Naohiro Terada · 1×

Countries citing papers authored by Naohiro Terada

Since Specialization
Citations

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

Fields of papers citing papers by Naohiro Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naohiro Terada

This figure shows the co-authorship network connecting the top 25 collaborators of Naohiro Terada. A scholar is included among the top collaborators of Naohiro 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 Naohiro Terada. Naohiro 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 4
2 176
3 37
4 35
5 39
6 38
7 11
8 20
9 18
10 77
11 284
12 40
13 90
14 92
15 51
16 40
17
Stem cell factor augments Fc epsilon RI-mediated TNF-alpha production and stimulates MAP kinases via a different pathway in MC/9 mast cells.
48
18 44
19 26
20 1

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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2026