E. Fujimoto

5.2k citations
52 papers · 3.9k indexed · 2 hit papers · h-index 18

Impact in

Papers in

E. Fujimoto

52 papers receiving 3.8k citations

Hit Papers

The Tol2kit: A multisite gateway‐based construction kit for Tol2 transposon transgenesis constructs 2007 · 1.4k citations
1.4k19872026200020134008001.2k

Peers

E. Fujimoto
Comparison fields: 5 of 122
  • Cell Biology 803
  • Cellular and Molecular Neuroscience 706
  • Genetics 1.0k
  • Developmental Neuroscience 152
  • Molecular Biology 2.5k
Replace Kenro Kusumi with:
Kenro Kusumi United States
Masanori Taira Japan
Takahiro Nagase Japan
Robert J. Winkfein Canada
Francesco Argenton Italy
Tong Xiao United States
Karen Artzt United States
Yasuhide Furuta Japan
Joan Galcerán Spain
David J. Grunwald United States
E. Fujimoto relative to Kenro Kusumi United States Kenro Kusumi's profile →
Citations per field
00.5×1.5×2.1×
Kenro Kusumi · 1×
Citations per year

Countries citing papers authored by E. Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by E. Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201233
2 201233
3 201135
4 200510
5 2005172
6 200214
7 200149
8 1999231
9 19881
10 19881
11 19886
12 19882
13 19883
14 19883
15 19882
16 19885
17 19886
18 19873
19 19877
20 19871

About E. Fujimoto

E. Fujimoto is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Sensory Systems and Cell Biology, having authored 52 papers that have together received 3.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (12 papers), DNA and Nucleic Acid Chemistry (10 papers), Neuroscience and Neural Engineering (6 papers), DNA Repair Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Zebrafish Biomedical Research Applications (5 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cell Biology (803 citations), Cellular and Molecular Neuroscience (706 citations), Genetics (1.0k citations), Developmental Neuroscience (152 citations) and Molecular Biology (2.5k citations). E. Fujimoto has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include Chi‐Bin Chien, Peter C. Ruben, Yusuke Nakamura, Kristen M. Kwan, John M. Parant, P. O’Connell, Melissa Hardy, Benjamin D. Mangum, John P. Kanki and Clemens Grabher. Their work appears in journals such as Nucleic Acids Research, The Journal of Physiology, Cellular and Molecular Neurobiology, Biophysical Journal and Developmental Dynamics.

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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