Seiji Masuda

7.4k citations
87 papers · 6.0k indexed · 3 hit papers · h-index 31

Impact in

Papers in

    • Erythropoietin and Anemia Treatment 28
    • RNA Research and Splicing 19
    • RNA modifications and cancer 12
    • RNA and protein synthesis mechanisms 9
    • Viral Infectious Diseases and Gene Expression in Insects 8
    • Nuclear Structure and Function 6

Seiji Masuda

85 papers receiving 5.8k citations

Hit Papers

TREX is a conserved complex coupling transcription with messenger RNA export 2002 · 704 citations
7041996202620062016250500750

Peers

Seiji Masuda
Comparison fields: 5 of 124
  • Hematology 2.7k
  • Genetics 653
  • Molecular Biology 2.7k
  • Cancer Research 524
  • Nephrology 233
Replace Chris J. Vlahos with:
Chris J. Vlahos United States
Michael Holinstat United States
Joshua L. Dunaief United States
Alastair W. Poole United Kingdom
Oliver Borst Germany
Albert Smolenski Germany
Gianpiero Pescarmona Italy
Zhenyu Ju China
S Lévy-Toledano France
Harald Esterbauer Austria
Seiji Masuda relative to Chris J. Vlahos United States Chris J. Vlahos's profile →
Citations per field
00.5×5.5×
Chris J. Vlahos · 1×
Citations per year

Countries citing papers authored by Seiji Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seiji Masuda, 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 Seiji Masuda Line = papers co-authored together Seiji Masuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20247
4 20197
5 201815
6 201689
7 20151
8 201333
9 201319
10 201157
11 200991
12 2005373
13 20028
14 20015
15 200188
16 19979
17
Erythropoietin receptor is expressed in rat hippocampal and cerebral cortical neurons, and erythropoietin prevents in vitro glutamate-induced neuronal death
Hit paper breakdown →
1996548
18 19955
19 199353
20 199324

About Seiji Masuda

Seiji Masuda is a scholar working on Hematology, Molecular Biology, Genetics, Physiology and Cancer Research, having authored 87 papers that have together received 6.0k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (28 papers), RNA Research and Splicing (19 papers), RNA modifications and cancer (12 papers), Erythrocyte Function and Pathophysiology (10 papers), RNA and protein synthesis mechanisms (9 papers), 3D Printing in Biomedical Research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Nuclear Structure and Function (6 papers). The work is most often cited by research in Hematology (2.7k citations), Genetics (653 citations), Molecular Biology (2.7k citations), Cancer Research (524 citations) and Nephrology (233 citations). Seiji Masuda has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Masaya Nagao, R Sasaki, Ryuzo Sasaki, Emi Morishita, Ed Hurt, Robin Reed, Y Yasuda, Seiji Matsuda, Tong‐Chun Wen and Masahiro Sakanaka. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, PLoS ONE and Blood.

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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