Naoko Fuji

762 total citations
27 papers, 542 citations indexed

About

Naoko Fuji is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Naoko Fuji has authored 27 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 7 papers in Infectious Diseases and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Naoko Fuji's work include Respiratory viral infections research (14 papers), Pneumonia and Respiratory Infections (11 papers) and Viral gastroenteritis research and epidemiology (6 papers). Naoko Fuji is often cited by papers focused on Respiratory viral infections research (14 papers), Pneumonia and Respiratory Infections (11 papers) and Viral gastroenteritis research and epidemiology (6 papers). Naoko Fuji collaborates with scholars based in Japan, United States and Philippines. Naoko Fuji's co-authors include Hitoshi Oshitani, Michael E. Pichichero, Ravinder Kaur, Akira Suzuki, Socorro Lupisan, Remigio M. Olveda, Mariko Saito, Raita Tamaki, Lydia Sombrero and Yuki Furuse and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Journal of Clinical Microbiology.

In The Last Decade

Naoko Fuji

25 papers receiving 528 citations

Peers

Naoko Fuji
Comparison fields: 5 of 63
  • Epidemiology 375
  • Infectious Diseases 198
  • Cardiology and Cardiovascular Medicine 171
  • Physiology 87
  • Pulmonary and Respiratory Medicine 70
Replace S.‐K. Khoo with:
S.‐K. Khoo Australia
Keitaro Nakamoto Japan
Cristina Cosco Italy
Martha Cannon United Kingdom
Wai Ming Lee United States
Eitaro Suzuki Japan
Päivi Lindahl Finland
Robert S. Gohd United States
Joseph Brewer United States
Jin-Han Kang South Korea
S.‐K. Khoo Australia View profile →
Citations per field, relative to Naoko Fuji
Naoko Fuji · 1×
Citations per year, relative to Naoko Fuji
Naoko Fuji · 1×

Countries citing papers authored by Naoko Fuji

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Fuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Fuji

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Fuji. A scholar is included among the top collaborators of Naoko Fuji 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 Naoko Fuji. Naoko Fuji 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 3
4 30
5 11
6 7
7 2
8 36
9 34
10 47
11 14
12 38
13 46
14 69
15 53
16 5
17 52
18 5
19 8
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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